--- _id: '48410' author: - first_name: Jana full_name: Wiechmann, Jana last_name: Wiechmann - first_name: Frederik full_name: Rautenberg, Frederik id: '72602' last_name: Rautenberg - first_name: Petra full_name: Wagner, Petra last_name: Wagner - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Wiechmann J, Rautenberg F, Wagner P, Haeb-Umbach R. Explaining voice characteristics to novice voice practitioners-How successful is it? In: 20th International Congress of the Phonetic Sciences (ICPhS) . ; 2023.' apa: Wiechmann, J., Rautenberg, F., Wagner, P., & Haeb-Umbach, R. (2023). Explaining voice characteristics to novice voice practitioners-How successful is it? 20th International Congress of the Phonetic Sciences (ICPhS) . bibtex: '@inproceedings{Wiechmann_Rautenberg_Wagner_Haeb-Umbach_2023, title={Explaining voice characteristics to novice voice practitioners-How successful is it?}, booktitle={20th International Congress of the Phonetic Sciences (ICPhS) }, author={Wiechmann, Jana and Rautenberg, Frederik and Wagner, Petra and Haeb-Umbach, Reinhold}, year={2023} }' chicago: Wiechmann, Jana, Frederik Rautenberg, Petra Wagner, and Reinhold Haeb-Umbach. “Explaining Voice Characteristics to Novice Voice Practitioners-How Successful Is It?” In 20th International Congress of the Phonetic Sciences (ICPhS) , 2023. ieee: J. Wiechmann, F. Rautenberg, P. Wagner, and R. Haeb-Umbach, “Explaining voice characteristics to novice voice practitioners-How successful is it?,” 2023. mla: Wiechmann, Jana, et al. “Explaining Voice Characteristics to Novice Voice Practitioners-How Successful Is It?” 20th International Congress of the Phonetic Sciences (ICPhS) , 2023. short: 'J. Wiechmann, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 20th International Congress of the Phonetic Sciences (ICPhS) , 2023.' conference: end_date: 2023-08-11 start_date: 2023-08-07 date_created: 2023-10-24T08:05:40Z date_updated: 2023-11-22T13:44:59Z ddc: - '040' department: - _id: '54' - _id: '660' file: - access_level: closed content_type: application/pdf creator: frra date_created: 2023-10-24T08:03:27Z date_updated: 2023-10-24T08:03:27Z file_id: '48413' file_name: 188.pdf file_size: 209980 relation: main_file success: 1 file_date_updated: 2023-10-24T08:03:27Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' oa: '1' project: - _id: '129' grant_number: '438445824' name: 'TRR 318 - C06: TRR 318 - Technisch unterstütztes Erklären von Stimmcharakteristika (Teilprojekt C06)' publication: '20th International Congress of the Phonetic Sciences (ICPhS) ' status: public title: Explaining voice characteristics to novice voice practitioners-How successful is it? type: conference user_id: '72602' year: '2023' ... --- _id: '48595' author: - first_name: Tobias Martin full_name: Peters, Tobias Martin id: '92810' last_name: Peters orcid: 0009-0008-5193-6243 - first_name: Roel W. full_name: Visser, Roel W. last_name: Visser citation: ama: 'Peters TM, Visser RW. The Importance of Distrust in AI. In: Communications in Computer and Information Science. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-44070-0_15' apa: Peters, T. M., & Visser, R. W. (2023). The Importance of Distrust in AI. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-44070-0_15 bibtex: '@inproceedings{Peters_Visser_2023, place={Cham}, title={The Importance of Distrust in AI}, DOI={10.1007/978-3-031-44070-0_15}, booktitle={Communications in Computer and Information Science}, publisher={Springer Nature Switzerland}, author={Peters, Tobias Martin and Visser, Roel W.}, year={2023} }' chicago: 'Peters, Tobias Martin, and Roel W. Visser. “The Importance of Distrust in AI.” In Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-44070-0_15.' ieee: 'T. M. Peters and R. W. Visser, “The Importance of Distrust in AI,” 2023, doi: 10.1007/978-3-031-44070-0_15.' mla: Peters, Tobias Martin, and Roel W. Visser. “The Importance of Distrust in AI.” Communications in Computer and Information Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-44070-0_15. short: 'T.M. Peters, R.W. Visser, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2023.' date_created: 2023-11-02T10:04:19Z date_updated: 2023-11-24T11:59:49Z department: - _id: '424' - _id: '660' doi: 10.1007/978-3-031-44070-0_15 language: - iso: eng place: Cham project: - _id: '124' name: 'TRR 318 - C1: TRR 318 - Subproject C1' publication: Communications in Computer and Information Science publication_identifier: isbn: - '9783031440694' - '9783031440700' issn: - 1865-0929 - 1865-0937 publication_status: published publisher: Springer Nature Switzerland status: public title: The Importance of Distrust in AI type: conference user_id: '92810' year: '2023' ... --- _id: '48777' abstract: - lang: eng text: AbstractExplainable artificial intelligence has mainly focused on static learning scenarios so far. We are interested in dynamic scenarios where data is sampled progressively, and learning is done in an incremental rather than a batch mode. We seek efficient incremental algorithms for computing feature importance (FI). Permutation feature importance (PFI) is a well-established model-agnostic measure to obtain global FI based on feature marginalization of absent features. We propose an efficient, model-agnostic algorithm called iPFI to estimate this measure incrementally and under dynamic modeling conditions including concept drift. We prove theoretical guarantees on the approximation quality in terms of expectation and variance. To validate our theoretical findings and the efficacy of our approaches in incremental scenarios dealing with streaming data rather than traditional batch settings, we conduct multiple experimental studies on benchmark data with and without concept drift. author: - first_name: Fabian full_name: Fumagalli, Fabian last_name: Fumagalli - first_name: Maximilian full_name: Muschalik, Maximilian last_name: Muschalik - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: Barbara full_name: Hammer, Barbara last_name: Hammer citation: ama: 'Fumagalli F, Muschalik M, Hüllermeier E, Hammer B. Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning. Published online 2023. doi:10.1007/s10994-023-06385-y' apa: 'Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning. https://doi.org/10.1007/s10994-023-06385-y' bibtex: '@article{Fumagalli_Muschalik_Hüllermeier_Hammer_2023, title={Incremental permutation feature importance (iPFI): towards online explanations on data streams}, DOI={10.1007/s10994-023-06385-y}, journal={Machine Learning}, publisher={Springer Science and Business Media LLC}, author={Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier, Eyke and Hammer, Barbara}, year={2023} }' chicago: 'Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning, 2023. https://doi.org/10.1007/s10994-023-06385-y.' ieee: 'F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams,” Machine Learning, 2023, doi: 10.1007/s10994-023-06385-y.' mla: 'Fumagalli, Fabian, et al. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning, Springer Science and Business Media LLC, 2023, doi:10.1007/s10994-023-06385-y.' short: F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, Machine Learning (2023). date_created: 2023-11-10T14:15:36Z date_updated: 2023-11-10T14:24:27Z department: - _id: '424' - _id: '660' doi: 10.1007/s10994-023-06385-y keyword: - Artificial Intelligence - Software language: - iso: eng publication: Machine Learning publication_identifier: issn: - 0885-6125 - 1573-0565 publication_status: published publisher: Springer Science and Business Media LLC status: public title: 'Incremental permutation feature importance (iPFI): towards online explanations on data streams' type: journal_article user_id: '55908' year: '2023' ... --- _id: '44853' author: - first_name: Suzana full_name: Alpsancar, Suzana id: '93637' last_name: Alpsancar citation: ama: 'Alpsancar S. What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection . In: International Conference on Computer Ethics 2023. Vol 1. ; 2023:1--17.' apa: Alpsancar, S. (2023). What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection . International Conference on Computer Ethics 2023, 1(1), 1--17. bibtex: '@inproceedings{Alpsancar_2023, title={What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection }, volume={1}, number={1}, booktitle={International Conference on Computer Ethics 2023}, author={Alpsancar, Suzana}, year={2023}, pages={1--17} }' chicago: Alpsancar, Suzana. “What Is AI Ethics? Ethics as Means of Self-Regulation and the Need for Critical Reflection .” In International Conference on Computer Ethics 2023, 1:1--17, 2023. ieee: S. Alpsancar, “What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection ,” in International Conference on Computer Ethics 2023, Chicago, Illinois, 2023, vol. 1, no. 1, pp. 1--17. mla: Alpsancar, Suzana. “What Is AI Ethics? Ethics as Means of Self-Regulation and the Need for Critical Reflection .” International Conference on Computer Ethics 2023, vol. 1, no. 1, 2023, pp. 1--17. short: 'S. Alpsancar, in: International Conference on Computer Ethics 2023, 2023, pp. 1--17.' conference: end_date: 2023-05-18 location: Chicago, Illinois name: 'International Conference on Computer Ethics ' start_date: 2023-05-16 date_created: 2023-05-16T00:21:24Z date_updated: 2023-12-20T13:35:13Z department: - _id: '14' - _id: '660' intvolume: ' 1' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://journals.library.iit.edu/index.php/CEPE2023/article/view/227 oa: '1' page: 1--17 project: - _id: '370' grant_number: '438445824' name: 'TRR 318 - B06: TRR 318 - Ethik und Normativität der erklärbaren KI (Teilprojekt B06)' publication: International Conference on Computer Ethics 2023 publication_status: published quality_controlled: '1' status: public title: 'What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection ' type: conference user_id: '93637' volume: 1 year: '2023' ... --- _id: '51345' abstract: - lang: eng text: The algorithmic imaginary as a theoretical concept has received increasing attention in recent years as it aims at users’ appropriation of algorithmic processes operating in opacity. But the concept originally only starts from the users’ point of view, while the processes on the platforms’ side are largely left out. In contrast, this paper argues that what is true for users is also valid for algorithmic processes and the designers behind. On the one hand, the algorithm imagines users’ future behavior via machine learning, which is supposed to predict all their future actions. On the other hand, the designers anticipate different actions that could potentially performed by users with every new implementation of features such as social media feeds. In order to bring into view this permanently reciprocal interplay coupled to the imaginary, in which not only the users are involved, I will argue for a more comprehensive and theoretically precise algorithmic imaginary referring to the theory of Cornelius Castoriadis. In such a perspective, an important contribution can be formulated for a theory of social media platforms that goes beyond praxeocentrism or structural determinism. author: - first_name: Christian full_name: Schulz, Christian id: '72684' last_name: Schulz citation: ama: Schulz C. A new algorithmic imaginary. Media, Culture & Society. 2023;45(3):646-655. doi:10.1177/01634437221136014 apa: Schulz, C. (2023). A new algorithmic imaginary. Media, Culture & Society, 45(3), 646–655. https://doi.org/10.1177/01634437221136014 bibtex: '@article{Schulz_2023, title={A new algorithmic imaginary}, volume={45}, DOI={10.1177/01634437221136014}, number={3}, journal={Media, Culture & Society}, publisher={SAGE Publications}, author={Schulz, Christian}, year={2023}, pages={646–655} }' chicago: 'Schulz, Christian. “A New Algorithmic Imaginary.” Media, Culture & Society 45, no. 3 (2023): 646–55. https://doi.org/10.1177/01634437221136014.' ieee: 'C. Schulz, “A new algorithmic imaginary,” Media, Culture & Society, vol. 45, no. 3, pp. 646–655, 2023, doi: 10.1177/01634437221136014.' mla: Schulz, Christian. “A New Algorithmic Imaginary.” Media, Culture & Society, vol. 45, no. 3, SAGE Publications, 2023, pp. 646–55, doi:10.1177/01634437221136014. short: C. Schulz, Media, Culture & Society 45 (2023) 646–655. date_created: 2024-02-14T09:21:17Z date_updated: 2024-02-26T08:39:45Z department: - _id: '660' doi: 10.1177/01634437221136014 intvolume: ' 45' issue: '3' keyword: - Sociology and Political Science - Communication language: - iso: eng page: 646-655 project: - _id: '122' name: 'TRR 318 - B3: TRR 318 - Subproject B3' publication: Media, Culture & Society publication_identifier: issn: - 0163-4437 - 1460-3675 publication_status: published publisher: SAGE Publications status: public title: A new algorithmic imaginary type: journal_article user_id: '54779' volume: 45 year: '2023' ... --- _id: '51372' abstract: - lang: eng text: Machine learning is frequently used in affective computing, but presents challenges due the opacity of state-of-the-art machine learning methods. Because of the impact affective machine learning systems may have on an individual's life, it is important that models be made transparent to detect and mitigate biased decision making. In this regard, affective machine learning could benefit from the recent advancements in explainable artificial intelligence (XAI) research. We perform a structured literature review to examine the use of interpretability in the context of affective machine learning. We focus on studies using audio, visual, or audiovisual data for model training and identified 29 research articles. Our findings show an emergence of the use of interpretability methods in the last five years. However, their use is currently limited regarding the range of methods used, the depth of evaluations, and the consideration of use-cases. We outline the main gaps in the research and provide recommendations for researchers that aim to implement interpretable methods for affective machine learning. author: - first_name: 'David ' full_name: 'Johnson, David ' last_name: Johnson - first_name: Olya full_name: Hakobyan, Olya last_name: Hakobyan - first_name: Hanna full_name: Drimalla, Hanna last_name: Drimalla citation: ama: 'Johnson D, Hakobyan O, Drimalla H. Towards Interpretability in Audio and Visual Affective Machine Learning: A Review. Published online 2023.' apa: 'Johnson, D., Hakobyan, O., & Drimalla, H. (2023). Towards Interpretability in Audio and Visual Affective Machine Learning: A Review.' bibtex: '@article{Johnson_Hakobyan_Drimalla_2023, title={Towards Interpretability in Audio and Visual Affective Machine Learning: A Review}, author={Johnson, David and Hakobyan, Olya and Drimalla, Hanna}, year={2023} }' chicago: 'Johnson, David , Olya Hakobyan, and Hanna Drimalla. “Towards Interpretability in Audio and Visual Affective Machine Learning: A Review,” 2023.' ieee: 'D. Johnson, O. Hakobyan, and H. Drimalla, “Towards Interpretability in Audio and Visual Affective Machine Learning: A Review.” 2023.' mla: 'Johnson, David, et al. Towards Interpretability in Audio and Visual Affective Machine Learning: A Review. 2023.' short: D. Johnson, O. Hakobyan, H. Drimalla, (2023). date_created: 2024-02-18T10:52:36Z date_updated: 2024-02-26T08:43:01Z department: - _id: '660' language: - iso: eng project: - _id: '110' name: 'TRR 318 - A: TRR 318 - Project Area A' status: public title: 'Towards Interpretability in Audio and Visual Affective Machine Learning: A Review' type: preprint user_id: '54779' year: '2023' ... --- _id: '51371' abstract: - lang: eng text: In this paper, we investigate the effect of distractions and hesitations as a scaffolding strategy. Recent research points to the potential beneficial effects of a speaker’s hesitations on the listeners’ comprehension of utterances, although results from studies on this issue indicate that humans do not make strategic use of them. The role of hesitations and their communicative function in human-human interaction is a much-discussed topic in current research. To better understand the underlying cognitive processes, we developed a human–robot interaction (HRI) setup that allows the measurement of the electroencephalogram (EEG) signals of a human participant while interacting with a robot. We thereby address the research question of whether we find effects on single-trial EEG based on the distraction and the corresponding robot’s hesitation scaffolding strategy. To carry out the experiments, we leverage our LabLinking method, which enables interdisciplinary joint research between remote labs. This study could not have been conducted without LabLinking, as the two involved labs needed to combine their individual expertise and equipment to achieve the goal together. The results of our study indicate that the EEG correlates in the distracted condition are different from the baseline condition without distractions. Furthermore, we could differentiate the EEG correlates of distraction with and without a hesitation scaffolding strategy. This proof-of-concept study shows that LabLinking makes it possible to conduct collaborative HRI studies in remote laboratories and lays the first foundation for more in-depth research into robotic scaffolding strategies. article_number: '37' author: - first_name: Birte full_name: Richter, Birte last_name: Richter - first_name: Felix full_name: Putze, Felix last_name: Putze - first_name: Gabriel full_name: Ivucic, Gabriel last_name: Ivucic - first_name: Mara full_name: Brandt, Mara last_name: Brandt - first_name: Christian full_name: Schütze, Christian last_name: Schütze - first_name: Rafael full_name: Reisenhofer, Rafael last_name: Reisenhofer - first_name: Britta full_name: Wrede, Britta last_name: Wrede - first_name: Tanja full_name: Schultz, Tanja last_name: Schultz citation: ama: 'Richter B, Putze F, Ivucic G, et al. EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies and Interaction. 2023;7(4). doi:10.3390/mti7040037' apa: 'Richter, B., Putze, F., Ivucic, G., Brandt, M., Schütze, C., Reisenhofer, R., Wrede, B., & Schultz, T. (2023). EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies and Interaction, 7(4), Article 37. https://doi.org/10.3390/mti7040037' bibtex: '@article{Richter_Putze_Ivucic_Brandt_Schütze_Reisenhofer_Wrede_Schultz_2023, title={EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study}, volume={7}, DOI={10.3390/mti7040037}, number={437}, journal={Multimodal Technologies and Interaction}, publisher={MDPI AG}, author={Richter, Birte and Putze, Felix and Ivucic, Gabriel and Brandt, Mara and Schütze, Christian and Reisenhofer, Rafael and Wrede, Britta and Schultz, Tanja}, year={2023} }' chicago: 'Richter, Birte, Felix Putze, Gabriel Ivucic, Mara Brandt, Christian Schütze, Rafael Reisenhofer, Britta Wrede, and Tanja Schultz. “EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study.” Multimodal Technologies and Interaction 7, no. 4 (2023). https://doi.org/10.3390/mti7040037.' ieee: 'B. Richter et al., “EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study,” Multimodal Technologies and Interaction, vol. 7, no. 4, Art. no. 37, 2023, doi: 10.3390/mti7040037.' mla: 'Richter, Birte, et al. “EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study.” Multimodal Technologies and Interaction, vol. 7, no. 4, 37, MDPI AG, 2023, doi:10.3390/mti7040037.' short: B. Richter, F. Putze, G. Ivucic, M. Brandt, C. Schütze, R. Reisenhofer, B. Wrede, T. Schultz, Multimodal Technologies and Interaction 7 (2023). date_created: 2024-02-18T10:45:53Z date_updated: 2024-02-26T08:44:32Z department: - _id: '660' doi: 10.3390/mti7040037 intvolume: ' 7' issue: '4' keyword: - Computer Networks and Communications - Computer Science Applications - Human-Computer Interaction - Neuroscience (miscellaneous) language: - iso: eng project: - _id: '113' name: 'TRR 318 - A3: TRR 318 - Subproject A3' - _id: '115' grant_number: '438445824' name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog (Teilprojekt A05)' publication: Multimodal Technologies and Interaction publication_identifier: issn: - 2414-4088 publication_status: published publisher: MDPI AG status: public title: 'EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study' type: journal_article user_id: '54779' volume: 7 year: '2023' ... --- _id: '51370' author: - first_name: Leonie full_name: Dyck, Leonie last_name: Dyck - first_name: Helen full_name: Beierling, Helen last_name: Beierling - first_name: Robin full_name: Helmert, Robin last_name: Helmert - first_name: Anna-Lisa full_name: Vollmer, Anna-Lisa last_name: Vollmer citation: ama: 'Dyck L, Beierling H, Helmert R, Vollmer A-L. Technical Transparency for Robot Navigation Through AR Visualizations. In: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. ACM; 2023:720-724. doi:10.1145/3568294.3580181' apa: Dyck, L., Beierling, H., Helmert, R., & Vollmer, A.-L. (2023). Technical Transparency for Robot Navigation Through AR Visualizations. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 720–724. https://doi.org/10.1145/3568294.3580181 bibtex: '@inproceedings{Dyck_Beierling_Helmert_Vollmer_2023, title={Technical Transparency for Robot Navigation Through AR Visualizations}, DOI={10.1145/3568294.3580181}, booktitle={Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction}, publisher={ACM}, author={Dyck, Leonie and Beierling, Helen and Helmert, Robin and Vollmer, Anna-Lisa}, year={2023}, pages={720–724} }' chicago: Dyck, Leonie, Helen Beierling, Robin Helmert, and Anna-Lisa Vollmer. “Technical Transparency for Robot Navigation Through AR Visualizations.” In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 720–24. ACM, 2023. https://doi.org/10.1145/3568294.3580181. ieee: 'L. Dyck, H. Beierling, R. Helmert, and A.-L. Vollmer, “Technical Transparency for Robot Navigation Through AR Visualizations,” in Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Stockholm , 2023, pp. 720–724, doi: 10.1145/3568294.3580181.' mla: Dyck, Leonie, et al. “Technical Transparency for Robot Navigation Through AR Visualizations.” Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, ACM, 2023, pp. 720–24, doi:10.1145/3568294.3580181. short: 'L. Dyck, H. Beierling, R. Helmert, A.-L. Vollmer, in: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, ACM, 2023, pp. 720–724.' conference: end_date: 2023-3-16 location: 'Stockholm ' name: 'HRI ''23: ACM/IEEE International Conference on Human-Robot Interaction' start_date: 2023-3-13 date_created: 2024-02-18T10:30:36Z date_updated: 2024-02-26T08:45:06Z department: - _id: '660' doi: 10.1145/3568294.3580181 language: - iso: eng page: 720-724 project: - _id: '123' name: 'TRR 318 - B5: TRR 318 - Subproject B5' publication: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction publication_status: published publisher: ACM status: public title: Technical Transparency for Robot Navigation Through AR Visualizations type: conference user_id: '54779' year: '2023' ... --- _id: '51368' abstract: - lang: eng text: Dealing with opaque algorithms, the frequent overlap between transparency and explainability produces seemingly unsolvable dilemmas, as the much-discussed trade-off between model performance and model transparency. Referring to Niklas Luhmann's notion of communication, the paper argues that explainability does not necessarily require transparency and proposes an alternative approach. Explanations as communicative processes do not imply any disclosure of thoughts or neural processes, but only reformulations that provide the partners with additional elements and enable them to understand (from their perspective) what has been done and why. Recent computational approaches aiming at post-hoc explainability reproduce what happens in communication, producing explanations of the working of algorithms that can be different from the processes of the algorithms. author: - first_name: 'Elena ' full_name: 'Esposito, Elena ' last_name: Esposito citation: ama: Esposito E. Does Explainability Require Transparency? Sociologica. 2023;16(3):17-27. doi:10.6092/ISSN.1971-8853/15804 apa: Esposito, E. (2023). Does Explainability Require Transparency? Sociologica, 16(3), 17–27. https://doi.org/10.6092/ISSN.1971-8853/15804 bibtex: '@article{Esposito_2023, title={Does Explainability Require Transparency?}, volume={16}, DOI={10.6092/ISSN.1971-8853/15804}, number={3}, journal={Sociologica}, author={Esposito, Elena }, year={2023}, pages={17–27} }' chicago: 'Esposito, Elena . “Does Explainability Require Transparency?” Sociologica 16, no. 3 (2023): 17–27. https://doi.org/10.6092/ISSN.1971-8853/15804.' ieee: 'E. Esposito, “Does Explainability Require Transparency?,” Sociologica, vol. 16, no. 3, pp. 17–27, 2023, doi: 10.6092/ISSN.1971-8853/15804.' mla: Esposito, Elena. “Does Explainability Require Transparency?” Sociologica, vol. 16, no. 3, 2023, pp. 17–27, doi:10.6092/ISSN.1971-8853/15804. short: E. Esposito, Sociologica 16 (2023) 17–27. date_created: 2024-02-18T10:16:43Z date_updated: 2024-02-26T08:46:26Z department: - _id: '660' doi: 10.6092/ISSN.1971-8853/15804 intvolume: ' 16' issue: '3' keyword: - Explainable AI - Transparency - Explanation - Communication - Sociological systems theory language: - iso: eng page: 17-27 project: - _id: '121' grant_number: '438445824' name: 'TRR 318 - B01: TRR 318 - Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens (Teilprojekt B01)' publication: Sociologica status: public title: Does Explainability Require Transparency? type: journal_article user_id: '54779' volume: 16 year: '2023' ... --- _id: '51369' abstract: - lang: eng text: This short introduction presents the symposium ‘Explaining Machines’. It locates the debate about Explainable AI in the history of the reflection about AI and outlines the issues discussed in the contributions. author: - first_name: Elena full_name: Esposito, Elena last_name: Esposito citation: ama: 'Esposito E. Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction. Sociologica. 2023;16(3):1-4. doi:10.6092/ISSN.1971-8853/16265' apa: 'Esposito, E. (2023). Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction. Sociologica, 16(3), 1–4. https://doi.org/10.6092/ISSN.1971-8853/16265' bibtex: '@article{Esposito_2023, title={Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction}, volume={16}, DOI={10.6092/ISSN.1971-8853/16265}, number={3}, journal={Sociologica}, author={Esposito, Elena}, year={2023}, pages={1–4} }' chicago: 'Esposito, Elena. “Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction.” Sociologica 16, no. 3 (2023): 1–4. https://doi.org/10.6092/ISSN.1971-8853/16265.' ieee: 'E. Esposito, “Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction,” Sociologica, vol. 16, no. 3, pp. 1–4, 2023, doi: 10.6092/ISSN.1971-8853/16265.' mla: 'Esposito, Elena. “Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction.” Sociologica, vol. 16, no. 3, 2023, pp. 1–4, doi:10.6092/ISSN.1971-8853/16265.' short: E. Esposito, Sociologica 16 (2023) 1–4. date_created: 2024-02-18T10:23:23Z date_updated: 2024-02-26T08:45:56Z department: - _id: '660' doi: 10.6092/ISSN.1971-8853/16265 intvolume: ' 16' issue: '3' keyword: - Explainable AI - Inexplicability - Transparency - Explanation - Opacity - Contestability language: - iso: eng page: 1-4 project: - _id: '121' grant_number: '438445824' name: 'TRR 318 - B01: TRR 318 - Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens (Teilprojekt B01)' publication: Sociologica status: public title: 'Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction' type: journal_article user_id: '54779' volume: 16 year: '2023' ... --- _id: '44849' author: - first_name: Frederik full_name: Rautenberg, Frederik id: '72602' last_name: Rautenberg - first_name: Michael full_name: Kuhlmann, Michael id: '49871' last_name: Kuhlmann - first_name: Janek full_name: Ebbers, Janek id: '34851' last_name: Ebbers - first_name: Jana full_name: Wiechmann, Jana last_name: Wiechmann - first_name: Fritz full_name: Seebauer, Fritz last_name: Seebauer - first_name: Petra full_name: Wagner, Petra last_name: Wagner - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Rautenberg F, Kuhlmann M, Ebbers J, et al. Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics. In: Fortschritte Der Akustik - DAGA 2023. ; 2023:1409-1412.' apa: Rautenberg, F., Kuhlmann, M., Ebbers, J., Wiechmann, J., Seebauer, F., Wagner, P., & Haeb-Umbach, R. (2023). Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics. Fortschritte Der Akustik - DAGA 2023, 1409–1412. bibtex: '@inproceedings{Rautenberg_Kuhlmann_Ebbers_Wiechmann_Seebauer_Wagner_Haeb-Umbach_2023, title={Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics}, booktitle={Fortschritte der Akustik - DAGA 2023}, author={Rautenberg, Frederik and Kuhlmann, Michael and Ebbers, Janek and Wiechmann, Jana and Seebauer, Fritz and Wagner, Petra and Haeb-Umbach, Reinhold}, year={2023}, pages={1409–1412} }' chicago: Rautenberg, Frederik, Michael Kuhlmann, Janek Ebbers, Jana Wiechmann, Fritz Seebauer, Petra Wagner, and Reinhold Haeb-Umbach. “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics.” In Fortschritte Der Akustik - DAGA 2023, 1409–12, 2023. ieee: F. Rautenberg et al., “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics,” in Fortschritte der Akustik - DAGA 2023, Hamburg, 2023, pp. 1409–1412. mla: Rautenberg, Frederik, et al. “Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics.” Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–12. short: 'F. Rautenberg, M. Kuhlmann, J. Ebbers, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–1412.' conference: end_date: 2023-03-09 location: Hamburg name: DAGA 2023 - 49. Jahrestagung für Akustik start_date: 2023-03-06 date_created: 2023-05-15T08:48:54Z date_updated: 2024-02-29T17:05:16Z ddc: - '000' department: - _id: '54' - _id: '660' file: - access_level: open_access content_type: application/pdf creator: frra date_created: 2024-02-29T16:15:12Z date_updated: 2024-02-29T16:15:12Z file_id: '52221' file_name: Daga_2023_Rautenberg_Paper.pdf file_size: 289493 relation: main_file file_date_updated: 2024-02-29T16:15:12Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://pub.dega-akustik.de/DAGA_2023/data/articles/000105.pdf oa: '1' page: 1409-1412 project: - _id: '129' grant_number: '438445824' name: 'TRR 318 - C06: TRR 318 - Technisch unterstütztes Erklären von Stimmcharakteristika (Teilprojekt C06)' publication: Fortschritte der Akustik - DAGA 2023 publication_status: published status: public title: Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics type: conference user_id: '72602' year: '2023' ... --- _id: '54909' author: - first_name: Jonas Manuel full_name: Hanselle, Jonas Manuel id: '43980' last_name: Hanselle orcid: 0000-0002-1231-4985 - first_name: Johannes full_name: Fürnkranz, Johannes last_name: Fürnkranz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable Machine Learning. In: Discovery Science. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-45275-8_13' apa: Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. In Discovery Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45275-8_13 bibtex: '@inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic Scoring Lists for Interpretable Machine Learning}, DOI={10.1007/978-3-031-45275-8_13}, booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} }' chicago: 'Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In Discovery Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.' ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in Discovery Science, Cham: Springer Nature Switzerland, 2023.' mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.” Discovery Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-45275-8_13. short: 'J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer Nature Switzerland, Cham, 2023.' date_created: 2024-06-26T14:24:29Z date_updated: 2024-06-26T14:25:50Z department: - _id: '660' doi: 10.1007/978-3-031-45275-8_13 language: - iso: eng place: Cham project: - _id: '125' name: 'TRR 318 - C2: TRR 318 - Subproject C2' publication: Discovery Science publication_identifier: isbn: - '9783031452741' - '9783031452758' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer Nature Switzerland status: public title: Probabilistic Scoring Lists for Interpretable Machine Learning type: book_chapter user_id: '72497' year: '2023' ... --- _id: '55155' author: - first_name: Amelie full_name: Robrecht, Amelie id: '91982' last_name: Robrecht orcid: 0000-0001-5622-8248 - first_name: Stefan full_name: Kopp, Stefan last_name: Kopp citation: ama: 'Robrecht A, Kopp S. SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation. In: Proceedings of the 15th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications; 2023. doi:10.5220/0011671300003393' apa: 'Robrecht, A., & Kopp, S. (2023). SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation. Proceedings of the 15th International Conference on Agents and Artificial Intelligence. https://doi.org/10.5220/0011671300003393' bibtex: '@inproceedings{Robrecht_Kopp_2023, title={SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation}, DOI={10.5220/0011671300003393}, booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence}, publisher={SCITEPRESS - Science and Technology Publications}, author={Robrecht, Amelie and Kopp, Stefan}, year={2023} }' chicago: 'Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation.” In Proceedings of the 15th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2023. https://doi.org/10.5220/0011671300003393.' ieee: 'A. Robrecht and S. Kopp, “SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation,” 2023, doi: 10.5220/0011671300003393.' mla: 'Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation.” Proceedings of the 15th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2023, doi:10.5220/0011671300003393.' short: 'A. Robrecht, S. Kopp, in: Proceedings of the 15th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2023.' date_created: 2024-07-10T11:05:25Z date_updated: 2024-07-16T09:38:25Z department: - _id: '660' doi: 10.5220/0011671300003393 language: - iso: eng project: - _id: '111' grant_number: '438445824' name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)' publication: Proceedings of the 15th International Conference on Agents and Artificial Intelligence publication_status: published publisher: SCITEPRESS - Science and Technology Publications status: public title: 'SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation' type: conference user_id: '91982' year: '2023' ... --- _id: '55152' author: - first_name: Amelie full_name: Robrecht, Amelie id: '91982' last_name: Robrecht orcid: 0000-0001-5622-8248 - first_name: Markus full_name: Rothgänger, Markus last_name: Rothgänger - first_name: Stefan full_name: Kopp, Stefan last_name: Kopp citation: ama: 'Robrecht A, Rothgänger M, Kopp S. A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations. In: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. ACM; 2023. doi:10.1145/3570945.3607339' apa: Robrecht, A., Rothgänger, M., & Kopp, S. (2023). A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations. Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. https://doi.org/10.1145/3570945.3607339 bibtex: '@inproceedings{Robrecht_Rothgänger_Kopp_2023, title={A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations}, DOI={10.1145/3570945.3607339}, booktitle={Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents}, publisher={ACM}, author={Robrecht, Amelie and Rothgänger, Markus and Kopp, Stefan}, year={2023} }' chicago: Robrecht, Amelie, Markus Rothgänger, and Stefan Kopp. “A Study on the Benefits and Drawbacks of Adaptivity in AI-Generated Explanations.” In Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents. ACM, 2023. https://doi.org/10.1145/3570945.3607339. ieee: 'A. Robrecht, M. Rothgänger, and S. Kopp, “A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations,” 2023, doi: 10.1145/3570945.3607339.' mla: Robrecht, Amelie, et al. “A Study on the Benefits and Drawbacks of Adaptivity in AI-Generated Explanations.” Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, ACM, 2023, doi:10.1145/3570945.3607339. short: 'A. Robrecht, M. Rothgänger, S. Kopp, in: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, ACM, 2023.' date_created: 2024-07-10T11:03:09Z date_updated: 2024-07-16T09:38:13Z department: - _id: '660' doi: 10.1145/3570945.3607339 language: - iso: eng project: - _id: '111' grant_number: '438445824' name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)' publication: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents publication_status: published publisher: ACM status: public title: A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations type: conference user_id: '91982' year: '2023' ... --- _id: '55406' abstract: - lang: eng text: Metaphorical language, such as {“}spending time together{”}, projects meaning from a source domain (here, $money$) to a target domain ($time$). Thereby, it highlights certain aspects of the target domain, such as the $effort$ behind the time investment. Highlighting aspects with metaphors (while hiding others) bridges the two domains and is the core of metaphorical meaning construction. For metaphor interpretation, linguistic theories stress that identifying the highlighted aspects is important for a better understanding of metaphors. However, metaphor research in NLP has not yet dealt with the phenomenon of highlighting. In this paper, we introduce the task of identifying the main aspect highlighted in a metaphorical sentence. Given the inherent interaction of source domains and highlighted aspects, we propose two multitask approaches - a joint learning approach and a continual learning approach - based on a finetuned contrastive learning model to jointly predict highlighted aspects and source domains. We further investigate whether (predicted) information about a source domain leads to better performance in predicting the highlighted aspects, and vice versa. Our experiments on an existing corpus suggest that, with the corresponding information, the performance to predict the other improves in terms of model accuracy in predicting highlighted aspects and source domains notably compared to the single-task baselines. author: - first_name: Meghdut full_name: Sengupta, Meghdut id: '99459' last_name: Sengupta - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Ingrid full_name: Scharlau, Ingrid id: '451' last_name: Scharlau orcid: 0000-0003-2364-9489 - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Sengupta M, Alshomary M, Scharlau I, Wachsmuth H. Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In: Bouamor H, Pino J, Bali K, eds. Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics; 2023:4636–4659. doi:10.18653/v1/2023.findings-emnlp.308' apa: 'Sengupta, M., Alshomary, M., Scharlau, I., & Wachsmuth, H. (2023). Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In H. Bouamor, J. Pino, & K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 4636–4659). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.308' bibtex: '@inproceedings{Sengupta_Alshomary_Scharlau_Wachsmuth_2023, place={Singapore}, title={Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms}, DOI={10.18653/v1/2023.findings-emnlp.308}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023}, publisher={Association for Computational Linguistics}, author={Sengupta, Meghdut and Alshomary, Milad and Scharlau, Ingrid and Wachsmuth, Henning}, editor={Bouamor, Houda and Pino, Juan and Bali, Kalika}, year={2023}, pages={4636–4659} }' chicago: 'Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” In Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 4636–4659. Singapore: Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.308.' ieee: 'M. Sengupta, M. Alshomary, I. Scharlau, and H. Wachsmuth, “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms,” in Findings of the Association for Computational Linguistics: EMNLP 2023, 2023, pp. 4636–4659, doi: 10.18653/v1/2023.findings-emnlp.308.' mla: 'Sengupta, Meghdut, et al. “Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.” Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor et al., Association for Computational Linguistics, 2023, pp. 4636–4659, doi:10.18653/v1/2023.findings-emnlp.308.' short: 'M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: H. Bouamor, J. Pino, K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, Singapore, 2023, pp. 4636–4659.' date_created: 2024-07-26T13:09:20Z date_updated: 2024-07-26T13:19:53Z department: - _id: '600' - _id: '660' doi: 10.18653/v1/2023.findings-emnlp.308 editor: - first_name: Houda full_name: Bouamor, Houda last_name: Bouamor - first_name: Juan full_name: Pino, Juan last_name: Pino - first_name: Kalika full_name: Bali, Kalika last_name: Bali language: - iso: eng page: 4636–4659 place: Singapore project: - _id: '127' name: 'TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens' publication: 'Findings of the Association for Computational Linguistics: EMNLP 2023' publisher: Association for Computational Linguistics status: public title: Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms type: conference user_id: '3900' year: '2023' ... --- _id: '51767' author: - first_name: 'Fabian ' full_name: 'Beer, Fabian ' last_name: Beer - first_name: Christian full_name: Schulz, Christian id: '72684' last_name: Schulz citation: ama: 'Beer F, Schulz C. The Return of Black Box Theory in Explainable AI. In: 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9.' apa: Beer, F., & Schulz, C. (n.d.). The Return of Black Box Theory in Explainable AI. 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9. bibtex: '@inproceedings{Beer_Schulz, title={The Return of Black Box Theory in Explainable AI}, booktitle={4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9}, author={Beer, Fabian and Schulz, Christian} }' chicago: Beer, Fabian , and Christian Schulz. “The Return of Black Box Theory in Explainable AI.” In 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9, n.d. ieee: F. Beer and C. Schulz, “The Return of Black Box Theory in Explainable AI.” mla: Beer, Fabian, and Christian Schulz. “The Return of Black Box Theory in Explainable AI.” 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9. short: 'F. Beer, C. Schulz, in: 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9, n.d.' date_created: 2024-02-22T15:15:20Z date_updated: 2024-08-14T06:15:04Z department: - _id: '660' language: - iso: eng project: - _id: '109' grant_number: '438445824' name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren' publication: 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November 9 publication_status: unpublished status: public title: The Return of Black Box Theory in Explainable AI type: conference user_id: '72684' year: '2023' ... --- _id: '51766' author: - first_name: Christian full_name: Schulz, Christian id: '72684' last_name: Schulz - first_name: 'Annedore ' full_name: 'Wilmes , Annedore ' last_name: 'Wilmes ' citation: ama: Schulz C, Wilmes A. Vernacular Metaphors of AI . apa: Schulz, C., & Wilmes , A. (n.d.). Vernacular Metaphors of AI . bibtex: '@inproceedings{Schulz_Wilmes , place={ICA Preconference Workshop “History of Digital Metaphors”, University of Toronto, May 25 }, title={Vernacular Metaphors of AI }, author={Schulz, Christian and Wilmes , Annedore } }' chicago: Schulz, Christian, and Annedore Wilmes . “Vernacular Metaphors of AI .” ICA Preconference Workshop “History of Digital Metaphors”, University of Toronto, May 25 , n.d. ieee: C. Schulz and A. Wilmes , “Vernacular Metaphors of AI .” mla: Schulz, Christian, and Annedore Wilmes . Vernacular Metaphors of AI . short: 'C. Schulz, A. Wilmes , in: ICA Preconference Workshop “History of Digital Metaphors”, University of Toronto, May 25 , n.d.' date_created: 2024-02-22T15:11:29Z date_updated: 2024-08-14T06:04:55Z department: - _id: '660' language: - iso: eng place: 'ICA Preconference Workshop "History of Digital Metaphors", University of Toronto, May 25 ' project: - _id: '122' name: 'TRR 318 - B3: TRR 318 - Subproject B3' publication_status: unpublished status: public title: 'Vernacular Metaphors of AI ' type: conference user_id: '72684' year: '2023' ... --- _id: '46067' abstract: - lang: eng text: '

The study investigates two different ways of guiding the addressee of an explanation - an explainee, through action demonstration: contrastive and non-contrastive. Their effect was tested on attention to specific action elements (goal) as well as on event memory. In an eye-tracking experiment, participants were shown different motion videos that were either contrastive or non-contrastive with respect to the segments of movement presentation. Given that everyday action demonstration is often multimodal, the stimuli were created with re- spect to their visual and verbal presentation. For visual presentation, a video combined two movements in a contrastive (e.g., Up-motion following a Down-motion) or non-contrastive way (e.g., two Up-motions following each other). For verbal presentation, each video was combined with a sequence of instruction descriptions in the form of negative (i.e., contrastive) or assertive (i.e., non-contrastive) guidance. It was found that a) attention to the event goal increased for this condition in the later time window, and b) participants’ recall of the event was facilitated when a visually contrastive motion was combined with a verbal contrast.

' author: - first_name: Amit full_name: Singh, Amit id: '91018' last_name: Singh orcid: 0000-0002-7789-1521 - first_name: Katharina J. full_name: Rohlfing, Katharina J. id: '50352' last_name: Rohlfing citation: ama: 'Singh A, Rohlfing KJ. Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall. In: Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45). Cognitive Science Society; 2023.' apa: 'Singh, A., & Rohlfing, K. J. (2023). Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall. Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45). 45th Annual Conference of the Cognitive Science Society, Sydney.' bibtex: '@inproceedings{Singh_Rohlfing_2023, place={Sydney, Australia}, title={Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall}, booktitle={Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45)}, publisher={Cognitive Science Society}, author={Singh, Amit and Rohlfing, Katharina J.}, year={2023} }' chicago: 'Singh, Amit, and Katharina J. Rohlfing. “Contrastiveness in the Context of Action Demonstration: An Eye-Tracking Study on Its Effects on Action Perception and Action Recall.” In Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45). Sydney, Australia: Cognitive Science Society, 2023.' ieee: 'A. Singh and K. J. Rohlfing, “Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall,” presented at the 45th Annual Conference of the Cognitive Science Society, Sydney, 2023.' mla: 'Singh, Amit, and Katharina J. Rohlfing. “Contrastiveness in the Context of Action Demonstration: An Eye-Tracking Study on Its Effects on Action Perception and Action Recall.” Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), Cognitive Science Society, 2023.' short: 'A. Singh, K.J. Rohlfing, in: Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), Cognitive Science Society, Sydney, Australia, 2023.' conference: location: Sydney name: 45th Annual Conference of the Cognitive Science Society date_created: 2023-07-15T12:16:42Z date_updated: 2023-09-27T13:51:42Z department: - _id: '749' - _id: '660' keyword: - Attention - negation - contrastive guidance - eye-movements - action understanding - event representation language: - iso: eng main_file_link: - open_access: '1' url: https://escholarship.org/uc/item/2w94t4cv oa: '1' place: Sydney, Australia popular_science: '1' project: - _id: '115' grant_number: '438445824' name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog (Teilprojekt A05)' publication: Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45) publication_status: published publisher: Cognitive Science Society quality_controlled: '1' related_material: record: - id: '46067' relation: contains status: public status: public title: 'Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall' type: conference user_id: '91018' year: '2023' ... --- _id: '56477' abstract: - lang: eng text: We describe a prototype of a Clinical Decision Support System (CDSS) that provides (counterfactual) explanations to support accurate medical diagnosis. The prototype is based on an inherently interpretable Bayesian network (BN). Our research aims to investigate which explanations are most useful for medical experts and whether co-constructing explanations can foster trust and acceptance of CDSS. author: - first_name: Felix full_name: Liedeker, Felix id: '93275' last_name: Liedeker - first_name: Philipp full_name: Cimiano, Philipp last_name: Cimiano citation: ama: 'Liedeker F, Cimiano P. A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations. In: ; 2023.' apa: Liedeker, F., & Cimiano, P. (2023). A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations. xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lissabon. bibtex: '@inproceedings{Liedeker_Cimiano_2023, title={A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations}, author={Liedeker, Felix and Cimiano, Philipp}, year={2023} }' chicago: Liedeker, Felix, and Philipp Cimiano. “A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations,” 2023. ieee: F. Liedeker and P. Cimiano, “A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations,” presented at the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lissabon, 2023. mla: Liedeker, Felix, and Philipp Cimiano. A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations. 2023. short: 'F. Liedeker, P. Cimiano, in: 2023.' conference: end_date: 2023-07-28 location: Lissabon name: xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023) start_date: 2023-07-26 date_created: 2024-10-09T14:50:09Z date_updated: 2024-10-09T15:04:53Z department: - _id: '660' keyword: - Explainable AI - Clinical decision support - Bayesian network - Counterfactual explanations language: - iso: eng project: - _id: '128' name: 'TRR 318 - C5: TRR 318 - Subproject C5' status: public title: A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations type: conference user_id: '93275' year: '2023' ... --- _id: '56478' author: - first_name: Felix full_name: Liedeker, Felix id: '93275' last_name: Liedeker - first_name: Philipp full_name: Cimiano, Philipp last_name: Cimiano citation: ama: 'Liedeker F, Cimiano P. Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy. In: ; 2023.' apa: Liedeker, F., & Cimiano, P. (2023). Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy. 1st International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders, Breckenridge, CO, USA . bibtex: '@inproceedings{Liedeker_Cimiano_2023, title={Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy}, author={Liedeker, Felix and Cimiano, Philipp}, year={2023} }' chicago: Liedeker, Felix, and Philipp Cimiano. “Dynamic Feature Selection in AI-Based Diagnostic Decision Support for Epilepsy,” 2023. ieee: F. Liedeker and P. Cimiano, “Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy,” presented at the 1st International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders, Breckenridge, CO, USA , 2023. mla: Liedeker, Felix, and Philipp Cimiano. Dynamic Feature Selection in AI-Based Diagnostic Decision Support for Epilepsy. 2023. short: 'F. Liedeker, P. Cimiano, in: 2023.' conference: end_date: 2023-03-10 location: 'Breckenridge, CO, USA ' name: 1st International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders start_date: 2023-03-07 date_created: 2024-10-09T14:53:45Z date_updated: 2024-10-09T15:06:47Z department: - _id: '660' language: - iso: eng project: - _id: '128' name: 'TRR 318 - C5: TRR 318 - Subproject C5' status: public title: Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy type: conference_abstract user_id: '93275' year: '2023' ...