[{"author":[{"id":"93275","last_name":"Liedeker","first_name":"Felix","full_name":"Liedeker, Felix"},{"last_name":"Sanchez-Graillet","full_name":"Sanchez-Graillet, Olivia","first_name":"Olivia"},{"full_name":"Seidler, Moana","first_name":"Moana","last_name":"Seidler"},{"full_name":"Brandt, Christian","first_name":"Christian","last_name":"Brandt"},{"first_name":"Jörg","full_name":"Wellmer, Jörg","last_name":"Wellmer"},{"first_name":"Philipp","full_name":"Cimiano, Philipp","last_name":"Cimiano"}],"title":"A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support","conference":{"end_date":"2024-10-24","name":"First Workshop on Natural Language Argument-Based Explanations","start_date":"2024-10-19","location":"Santiago de Compostela, Spain"},"abstract":[{"lang":"eng","text":"As the field of healthcare increasingly adopts artificial intelligence, it becomes important to understand which types of explanations increase transparency and empower users to develop confidence and trust in the predictions made by machine learning (ML) systems. \r\nIn shared decision-making scenarios where doctors cooperate with ML systems to reach an appropriate decision, establishing mutual trust is crucial. In this paper, we explore different approaches to generating explanations in eXplainable AI (XAI) and make their underlying arguments explicit so that they can be evaluated by medical experts.\r\nIn particular, we present the findings of a user study conducted with physicians to investigate their perceptions of various types of AI-generated explanations in the context of diagnostic decision support. The study aims to identify the most effective and useful explanations that enhance the diagnostic process. \r\nIn the study, medical doctors filled out a survey to assess different types of explanations. Further, an interview was carried out post-survey to gain qualitative insights on the requirements of explanations incorporated in diagnostic decision support. Overall, the insights gained from this study contribute to understanding the types of explanations that are most effective."}],"project":[{"name":"TRR 318 - C5: TRR 318 - Subproject C5","_id":"128"}],"publication_status":"accepted","user_id":"93275","citation":{"apa":"Liedeker, F., Sanchez-Graillet, O., Seidler, M., Brandt, C., Wellmer, J., &#38; Cimiano, P. (n.d.). <i>A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support</i>. First Workshop on Natural Language Argument-Based Explanations, Santiago de Compostela, Spain.","ama":"Liedeker F, Sanchez-Graillet O, Seidler M, Brandt C, Wellmer J, Cimiano P. A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support.","chicago":"Liedeker, Felix, Olivia Sanchez-Graillet, Moana Seidler, Christian Brandt, Jörg Wellmer, and Philipp Cimiano. “A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support,” n.d.","ieee":"F. Liedeker, O. Sanchez-Graillet, M. Seidler, C. Brandt, J. Wellmer, and P. Cimiano, “A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support,” presented at the First Workshop on Natural Language Argument-Based Explanations, Santiago de Compostela, Spain.","mla":"Liedeker, Felix, et al. <i>A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support</i>.","bibtex":"@inproceedings{Liedeker_Sanchez-Graillet_Seidler_Brandt_Wellmer_Cimiano, title={A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support}, author={Liedeker, Felix and Sanchez-Graillet, Olivia and Seidler, Moana and Brandt, Christian and Wellmer, Jörg and Cimiano, Philipp} }","short":"F. Liedeker, O. Sanchez-Graillet, M. Seidler, C. Brandt, J. Wellmer, P. Cimiano, in: n.d."},"department":[{"_id":"660"}],"date_created":"2024-10-09T15:02:42Z","status":"public","language":[{"iso":"eng"}],"year":"2024","type":"conference","_id":"56480","date_updated":"2024-10-09T15:06:27Z"},{"date_updated":"2024-10-09T15:06:00Z","_id":"56479","language":[{"iso":"eng"}],"year":"2024","type":"conference","status":"public","date_created":"2024-10-09T14:57:49Z","department":[{"_id":"660"}],"citation":{"mla":"Liedeker, Felix, et al. <i>An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity</i>. 2024.","apa":"Liedeker, F., Düsing, C., Nieveler, M., &#38; Cimiano, P. (2024). <i>An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity</i>. 2nd World Conference on eXplainable Artificial Intelligence, Valetta, Malta.","ama":"Liedeker F, Düsing C, Nieveler M, Cimiano P. An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity. In: ; 2024.","bibtex":"@inproceedings{Liedeker_Düsing_Nieveler_Cimiano_2024, title={An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity}, author={Liedeker, Felix and Düsing, Christoph and Nieveler, Marcel and Cimiano, Philipp}, year={2024} }","chicago":"Liedeker, Felix, Christoph Düsing, Marcel Nieveler, and Philipp Cimiano. “An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity,” 2024.","short":"F. Liedeker, C. Düsing, M. Nieveler, P. Cimiano, in: 2024.","ieee":"F. Liedeker, C. Düsing, M. Nieveler, and P. Cimiano, “An Empirical Investigation of Users’ Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity,” presented at the 2nd World Conference on eXplainable Artificial Intelligence, Valetta, Malta, 2024."},"keyword":["XAI","Explanation Complexity","User Perception"],"user_id":"93275","project":[{"name":"TRR 318 - C5: TRR 318 - Subproject C5","_id":"128"}],"abstract":[{"lang":"eng","text":"While the importance of explainable artificial intelligence in high-stakes decision-making is widely recognized in existing literature, empirical studies assessing users' perceived value of explanations are scarce. In this paper, we aim to address this shortcoming by conducting an empirical study focused on measuring the perceived value of the following types of explanations: plain explanations based on feature attribution, counterfactual explanations and complex counterfactual explanations. We measure an explanation's value using five dimensions: perceived accuracy, understandability, plausibility, sufficiency of detail, and user satisfaction. Our findings indicate a sweet spot of explanation complexity, with both dimensional and structural complexity positively impacting the perceived value up to a certain threshold."}],"title":"An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity","conference":{"end_date":"2024-07-19","name":"2nd World Conference on eXplainable Artificial Intelligence","start_date":"2024-07-17","location":"Valetta, Malta"},"author":[{"last_name":"Liedeker","id":"93275","full_name":"Liedeker, Felix","first_name":"Felix"},{"first_name":"Christoph","full_name":"Düsing, Christoph","last_name":"Düsing"},{"full_name":"Nieveler, Marcel","first_name":"Marcel","last_name":"Nieveler"},{"last_name":"Cimiano","full_name":"Cimiano, Philipp","first_name":"Philipp"}]},{"publication":"Proceedings of the 1st Workshop on Multimodal, Affective and Interactive eXplainable AI (MAI-XAI)","quality_controlled":"1","ddc":["000"],"type":"conference","title":"ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing","file":[{"date_created":"2024-10-31T09:53:24Z","content_type":"application/pdf","file_id":"56845","access_level":"closed","file_size":519095,"file_name":"paper2.pdf","creator":"doba2","success":1,"relation":"main_file","date_updated":"2024-10-31T09:53:24Z"}],"project":[{"name":"TRR 318 - C5: TRR 318 - Subproject C5","_id":"128"}],"has_accepted_license":"1","user_id":"91864","date_created":"2024-10-31T09:54:27Z","language":[{"iso":"eng"}],"year":"2024","status":"public","file_date_updated":"2024-10-31T09:53:24Z","_id":"56844","date_updated":"2024-10-31T09:57:13Z","conference":{"location":"Santiago de Compostela, Spain","start_date":"2024-10-19","name":"European Conference on Artificial Intelligence (ECAI)","end_date":"2024-10-24"},"author":[{"id":"91864","last_name":"Battefeld","full_name":"Battefeld, Dominik","first_name":"Dominik","orcid":"0000-0002-5480-0594"},{"first_name":"Felix","full_name":"Liedeker, Felix","last_name":"Liedeker","id":"93275"},{"last_name":"Cimiano","full_name":"Cimiano, Philipp","first_name":"Philipp"},{"full_name":"Kopp, Stefan","first_name":"Stefan","last_name":"Kopp"}],"citation":{"mla":"Battefeld, Dominik, et al. “ASCODI: An XAI-Based Interactive Reasoning Support System for Justifiable Medical Diagnosing.” <i>Proceedings of the 1st Workshop on Multimodal, Affective and Interactive EXplainable AI (MAI-XAI)</i>, 2024.","bibtex":"@inproceedings{Battefeld_Liedeker_Cimiano_Kopp_2024, title={ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing}, booktitle={Proceedings of the 1st Workshop on Multimodal, Affective and Interactive eXplainable AI (MAI-XAI)}, author={Battefeld, Dominik and Liedeker, Felix and Cimiano, Philipp and Kopp, Stefan}, year={2024} }","short":"D. Battefeld, F. Liedeker, P. Cimiano, S. Kopp, in: Proceedings of the 1st Workshop on Multimodal, Affective and Interactive EXplainable AI (MAI-XAI), 2024.","apa":"Battefeld, D., Liedeker, F., Cimiano, P., &#38; Kopp, S. (2024). ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing. <i>Proceedings of the 1st Workshop on Multimodal, Affective and Interactive EXplainable AI (MAI-XAI)</i>. European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain.","ama":"Battefeld D, Liedeker F, Cimiano P, Kopp S. ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing. In: <i>Proceedings of the 1st Workshop on Multimodal, Affective and Interactive EXplainable AI (MAI-XAI)</i>. ; 2024.","chicago":"Battefeld, Dominik, Felix Liedeker, Philipp Cimiano, and Stefan Kopp. “ASCODI: An XAI-Based Interactive Reasoning Support System for Justifiable Medical Diagnosing.” In <i>Proceedings of the 1st Workshop on Multimodal, Affective and Interactive EXplainable AI (MAI-XAI)</i>, 2024.","ieee":"D. Battefeld, F. Liedeker, P. Cimiano, and S. Kopp, “ASCODI: An XAI-based interactive reasoning support system for justifiable medical diagnosing,” presented at the European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2024."},"publication_status":"published"},{"citation":{"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.","chicago":"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.","apa":"Liedeker, F., &#38; Cimiano, P. (2023). <i>A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations</i>. 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} }","ama":"Liedeker F, Cimiano P. A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations. In: ; 2023.","mla":"Liedeker, Felix, and Philipp Cimiano. <i>A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations</i>. 2023."},"keyword":["Explainable AI","Clinical decision support","Bayesian network","Counterfactual explanations"],"user_id":"93275","department":[{"_id":"660"}],"title":"A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations","conference":{"end_date":"2023-07-28","location":"Lissabon","start_date":"2023-07-26","name":"xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023)"},"author":[{"first_name":"Felix","full_name":"Liedeker, Felix","last_name":"Liedeker","id":"93275"},{"first_name":"Philipp","full_name":"Cimiano, Philipp","last_name":"Cimiano"}],"project":[{"name":"TRR 318 - C5: TRR 318 - Subproject C5","_id":"128"}],"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."}],"_id":"56477","date_updated":"2024-10-09T15:04:53Z","date_created":"2024-10-09T14:50:09Z","language":[{"iso":"eng"}],"type":"conference","year":"2023","status":"public"},{"date_updated":"2024-10-09T15:06:47Z","_id":"56478","language":[{"iso":"eng"}],"year":"2023","type":"conference_abstract","status":"public","date_created":"2024-10-09T14:53:45Z","department":[{"_id":"660"}],"citation":{"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.","chicago":"Liedeker, Felix, and Philipp Cimiano. “Dynamic Feature Selection in AI-Based Diagnostic Decision Support for Epilepsy,” 2023.","apa":"Liedeker, F., &#38; Cimiano, P. (2023). <i>Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy</i>. 1st International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders, Breckenridge, CO, USA .","ama":"Liedeker F, Cimiano P. Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy. In: ; 2023.","short":"F. Liedeker, P. Cimiano, in: 2023.","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} }","mla":"Liedeker, Felix, and Philipp Cimiano. <i>Dynamic Feature Selection in AI-Based Diagnostic Decision Support for Epilepsy</i>. 2023."},"user_id":"93275","project":[{"_id":"128","name":"TRR 318 - C5: TRR 318 - Subproject C5"}],"title":"Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy","conference":{"end_date":"2023-03-10","start_date":"2023-03-07","location":"Breckenridge, CO, USA ","name":"1st International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders"},"author":[{"full_name":"Liedeker, Felix","first_name":"Felix","last_name":"Liedeker","id":"93275"},{"full_name":"Cimiano, Philipp","first_name":"Philipp","last_name":"Cimiano"}]}]