@techreport{65021,
  abstract     = {{Several early music projects, such as the Stanford Josquin Project, have demonstrated the potential for attaining valuable new musicological insights using a corpus-based approach. However, the available musical corpora tend to be relatively small and exhibit considerable variation in encoding practices. Aspiring corpus researchers are confronted with a lack of suitable data, which needs to be addressed before they can embark on their proper research. The EarlyMuse Short Term Scientific Mission CORSICA has surveyed the current state of corpus creation and digital editing in early music. Based on this information, it has developed a vision for the future of corpus building in this field, which aims to speed up the production of digital encodings while respecting the autonomy of the encoders and acknowledging their efforts. This is important because much high-quality encoding is carried out outside the field of professional musicology, and engaging citizen scientists could help address the current shortage of research data. The CORSICA team‘s vision is informed not only by a study of the available data, standards and technologies, but also by Human-Computer Interaction, placing human goals and values before the creation of technology and work processes. The core of the vision is that successful corpus creation must be an inclusive endeavour in terms of both technology and human participation. The report concludes with an implementation plan outlining the initial steps required to realise the vision.}},
  author       = {{Wiering, Frans and Bergwall, Erik and van Berchum, Marnix and Goebl, Werner and Van Kranenburg, Peter and Lewis, David and Plaksin, Anna Viktoria Katrin and Rodríguez-García, Esperanza and Smith, David J. and Visscher, Mirjam and Weigl, David M.}},
  keywords     = {{citizen science, crowdsourcing, digital editions of music, early music, human computer interaction, music corpora, music encoding, musicology}},
  title        = {{{Making Corpus Creation in Early Music Rewarding and Effective: Finding the Optimum Between Standardisation and Autonomy}}},
  doi          = {{10.5281/zenodo.18413961}},
  year         = {{2026}},
}

@article{44639,
  author       = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  volume       = {{9}},
  year         = {{2023}},
}

@inproceedings{50118,
  abstract     = {{Despite the widespread use of machine learning algorithms, their effectiveness is limited by a phenomenon known as algorithm aversion. Recent research concluded that unobserved variables can cause algorithm aversion. However, the impact of an unobserved variable on algorithm aversion remains unclear. Previous studies focused on situations where humans had more variables available than algorithms. We extend this research by conducting an online experiment with 94 participants, systematically varying the number of observable variables to the advisor and the advisor type. Surprisingly, our results did not confirm that an unobserved variable had a negative effect on advice-taking. Instead, we found a positive impact in an algorithm appreciation scenario. This study provides new insights into the paradoxical behavior in which people weigh advice more despite having fewer variables, as they correct for the advisor's errors. Practitioners should consider this behavior when designing algorithms and account for user correction behavior.}},
  author       = {{Leffrang, Dirk}},
  booktitle    = {{Wirtschaftsinformatik Conference}},
  keywords     = {{Algorithm aversion, Data, Decision-making, Advice-taking, Human-Computer Interaction}},
  location     = {{Paderborn}},
  number       = {{19}},
  title        = {{{The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization}}},
  year         = {{2023}},
}

@article{51371,
  abstract     = {{<jats:p>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.</jats:p>}},
  author       = {{Richter, Birte and Putze, Felix and Ivucic, Gabriel and Brandt, Mara and Schütze, Christian and Reisenhofer, Rafael and Wrede, Britta and Schultz, Tanja}},
  issn         = {{2414-4088}},
  journal      = {{Multimodal Technologies and Interaction}},
  keywords     = {{Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Neuroscience (miscellaneous)}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study}}},
  doi          = {{10.3390/mti7040037}},
  volume       = {{7}},
  year         = {{2023}},
}

@article{43437,
  abstract     = {{<jats:p>In virtual reality (VR), participants may not always have hands, bodies, eyes, or even voices—using VR helmets and two controllers, participants control an avatar through virtual worlds that do not necessarily obey familiar laws of physics; moreover, the avatar’s bodily characteristics may not neatly match our bodies in the physical world. Despite these limitations and specificities, humans get things done through collaboration and the creative use of the environment. While multiuser interactive VR is attracting greater numbers of participants, there are currently few attempts to analyze the in situ interaction systematically. This paper proposes a video-analytic detail-oriented methodological framework for studying virtual reality interaction. Using multimodal conversation analysis, the paper investigates a nonverbal, embodied, two-person interaction: two players in a survival game strive to gesturally resolve a misunderstanding regarding an in-game mechanic—however, both of their microphones are turned off for the duration of play. The players’ inability to resort to complex language to resolve this issue results in a dense sequence of back-and-forth activity involving gestures, object manipulation, gaze, and body work. Most crucially, timing and modified repetitions of previously produced actions turn out to be the key to overcome both technical and communicative challenges. The paper analyzes these action sequences, demonstrates how they generate intended outcomes, and proposes a vocabulary to speak about these types of interaction more generally. The findings demonstrate the viability of multimodal analysis of VR interaction, shed light on unique challenges of analyzing interaction in virtual reality, and generate broader methodological insights about the study of nonverbal action.</jats:p>}},
  author       = {{Klowait, Nils}},
  issn         = {{2578-1863}},
  journal      = {{Human Behavior and Emerging Technologies}},
  keywords     = {{Human-Computer Interaction, General Social Sciences, Social Psychology, Virtual Reality : Multimodality, Nonverbal Interaction, Search Sequence, Gesture, Co-Operative Action, Goodwin, Ethnomethodology}},
  pages        = {{1--15}},
  publisher    = {{Hindawi Limited}},
  title        = {{{On the Multimodal Resolution of a Search Sequence in Virtual Reality}}},
  doi          = {{10.1155/2023/8417012}},
  volume       = {{2023}},
  year         = {{2023}},
}

@article{32266,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{32267,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{34046,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{2168-2291}},
  journal      = {{IEEE Transactions on Human-Machine Systems}},
  keywords     = {{Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Signal Processing, Control and Systems Engineering, Human Factors and Ergonomics}},
  pages        = {{1--11}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control}}},
  doi          = {{10.1109/thms.2022.3212335}},
  year         = {{2022}},
}

@article{30218,
  author       = {{Tuisku, Outi and Johansson-Pajala, Rose-Marie and Hoppe, Julia Amelie and Pekkarinen, Satu and Hennala, Lea and Thommes, Kirsten and Gustafsson, Christine and Melkas, Helinä}},
  issn         = {{0144-929X}},
  journal      = {{Behaviour & Information Technology}},
  keywords     = {{Human-Computer Interaction, General Social Sciences, Arts and Humanities (miscellaneous), Developmental and Educational Psychology}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Assistant nurses and orientation to care robot use in three European countries}}},
  doi          = {{10.1080/0144929x.2022.2042736}},
  year         = {{2022}},
}

@article{44637,
  author       = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{34295,
  author       = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  year         = {{2022}},
}

@article{44636,
  author       = {{Hoppe, Julia A. and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{32273,
  author       = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}},
  issn         = {{1044-7318}},
  journal      = {{International Journal of Human–Computer Interaction}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}},
  pages        = {{1--17}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}},
  doi          = {{10.1080/10447318.2022.2081283}},
  year         = {{2022}},
}

@article{51210,
  author       = {{Tuisku, Outi and Johansson-Pajala, Rose-Marie and Hoppe, Julia Amelie and Pekkarinen, Satu and Hennala, Lea and Thommes, Kirsten and Gustafsson, Christine and Melkas, Helinä}},
  issn         = {{0144-929X}},
  journal      = {{Behaviour &amp; Information Technology}},
  keywords     = {{Human-Computer Interaction, General Social Sciences, Arts and Humanities (miscellaneous), Developmental and Educational Psychology}},
  number       = {{6}},
  pages        = {{758--774}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Assistant nurses and orientation to care robot use in three European countries}}},
  doi          = {{10.1080/0144929x.2022.2042736}},
  volume       = {{42}},
  year         = {{2022}},
}

@inproceedings{37140,
  abstract     = {{<jats:p>Social media have become not only integral parts of our private and professional lives, but also an indispensable source of data for empirical research across a variety of academic disciplines. Applying a Social Media Analytics (SMA) methodology, however, imposes heavy ethical challenges on researchers. Scholars in the Information Systems (IS) discipline must deal with a patchwork of ethical frameworks, regulations, and (missing) institutional support. To initiate a debate on how to develop a common understanding of SMA research ethics, this paper compiles a scoping review of extant literature and suggests a research agenda for IS scholarship on this matter. The review yields a total of eight fundamental principles of ethical SMA research, which provide a starting point to guiding individual researchers towards more ethical conduct. At the same time, this work unearths a multitude of intricate dilemmas that are currently unresolved. The findings of this review will encourage IS scholarship to find its own voice in the debate about social media research ethics.</jats:p>}},
  author       = {{Marx, Julian and Mirbabaie, Milad}},
  booktitle    = {{Australasian Journal of Information Systems}},
  issn         = {{1449-8618}},
  keywords     = {{Information Systems and Management, Human-Computer Interaction, Business, Management and Accounting (miscellaneous), Information Systems}},
  publisher    = {{Australian Journal of Information Systems}},
  title        = {{{The Investigator’s Dilemma - A Review of Social Media Analytics Research Ethics in Information Systems}}},
  doi          = {{10.3127/ajis.v26i0.3287}},
  volume       = {{26}},
  year         = {{2022}},
}

@article{44638,
  author       = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}},
  issn         = {{2451-9588}},
  journal      = {{Computers in Human Behavior Reports}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}},
  publisher    = {{Elsevier BV}},
  title        = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}},
  doi          = {{10.1016/j.chbr.2022.100258}},
  volume       = {{9}},
  year         = {{2022}},
}

@article{37443,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The range of teaching materials now available is becoming increasingly diverse. Despite this, however, the use and influence of textbooks in teaching still remains very high. When instructing reading comprehension, teachers often use textbooks as the basis for teaching in language lessons. Establishing a good match between textbooks and the skills to be acquired is therefore essential. In this paper, I investigate whether textbooks used in Austrian schools can adequately support the teaching of reading comprehension skills. Since reading comprehension is the basis for acquiring knowledge in all subjects, science textbooks are examined in addition to (German) language lesson textbooks. Thus, the content pages of four language textbooks and four science textbooks for fourth and sixth grade were analysed in terms of five different categories, i.e. general structural setup, learning goals, text types, text structures, and activities. The results reveal clear variations with respect to learning goals in language textbooks. For example, the extent to which reading comprehension is addressed ranges from 13.64 to 69.70%, depending on the book used. Although not addressed as a learning goal in the science textbooks, reading comprehension is often presupposed, especially in sixth grade. While the instruction of reading comprehension ought to entail coverage of reading strategies, this is often neglected, or only dealt with indirectly. Given the diversity of textbooks analysed, it seems all the more important to stress that teachers should: 1) clarify the goals and teaching strategies of a book before using it, 2) become aware of strategies that support the development of students' reading comprehension, and 3) use textbooks as a complementary (and not sole) tool to support reading comprehension in all subjects.</jats:p>}},
  author       = {{Seifert, Susanne}},
  issn         = {{2211-1662}},
  journal      = {{Technology, Knowledge and Learning}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Education, Mathematics (miscellaneous)}},
  number       = {{2}},
  pages        = {{383--405}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Is Reading Comprehension Taken for Granted? An Analysis of Austrian Textbooks in Fourth and Sixth Grade}}},
  doi          = {{10.1007/s10758-021-09490-w}},
  volume       = {{26}},
  year         = {{2021}},
}

@article{40604,
  author       = {{Taetz, Bertram and Teufl, Wolfgang and Weidmann, Alexander and Pietschmann, Juliane and Jöllenbeck, Thomas and Bleser, Gabriele}},
  issn         = {{1025-5842}},
  journal      = {{Computer Methods in Biomechanics and Biomedical Engineering}},
  keywords     = {{Computer Science Applications, Human-Computer Interaction, Biomedical Engineering, General Medicine, Bioengineering}},
  number       = {{1}},
  pages        = {{12--22}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability}}},
  doi          = {{10.1080/10255842.2019.1688310}},
  volume       = {{23}},
  year         = {{2019}},
}

@article{42677,
  author       = {{Klowait, Nils}},
  issn         = {{0951-5666}},
  journal      = {{AI & SOCIETY}},
  keywords     = {{Artificial Intelligence, Human-Computer Interaction, Philosophy}},
  number       = {{4}},
  pages        = {{527--536}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The quest for appropriate models of human-likeness: anthropomorphism in media equation research}}},
  doi          = {{10.1007/s00146-017-0746-z}},
  volume       = {{33}},
  year         = {{2017}},
}

@inproceedings{17272,
  abstract     = {{In developmental research, tutoring behavior has been identified as scaffolding infants' learning processes. It has been defined in terms of child-directed speech (Motherese), child-directed motion (Motionese), and contingency. In the field of developmental robotics, research often assumes that in human-robot interaction (HRI), robots are treated similar to infants, because their immature cognitive capabilities benefit from this behavior. However, according to our knowledge, it has barely been studied whether this is true and how exactly humans alter their behavior towards a robotic interaction partner. In this paper, we present results concerning the acceptance of a robotic agent in a social learning scenario obtained via comparison to adults and 8-11 months old infants in equal conditions. These results constitute an important empirical basis for making use of tutoring behavior in social robotics. In our study, we performed a detailed multimodal analysis of HRI in a tutoring situation using the example of a robot simulation equipped with a bottom-up saliency-based attention model. Our results reveal significant differences in hand movement velocity, motion pauses, range of motion, and eye gaze suggesting that for example adults decrease their hand movement velocity in an Adult-Child Interaction (ACI), opposed to an Adult-Adult Interaction (AAI) and this decrease is even higher in the Adult-Robot Interaction (ARI). We also found important differences between ACI and ARI in how the behavior is modified over time as the interaction unfolds. These findings indicate the necessity of integrating top-down feedback structures into a bottom-up system for robots to be fully accepted as interaction partners.}},
  author       = {{Vollmer, Anna-Lisa and Lohan, Katrin Solveig and Fischer, Kerstin and Nagai, Yukie and Pitsch, Karola and Fritsch, Jannik and Rohlfing, Katharina and Wrede, Britta}},
  booktitle    = {{Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning}},
  keywords     = {{robot simulation, hand movement velocity, robotic interaction partner, robotic agent, robot-directed interaction, multimodal analysis, Motionese, Motherese, intelligent tutoring systems, immature cognitive capability, human computer interaction, eye gaze, child-directed speech, child-directed motion, bottom-up system, bottom-up saliency-based attention model, adult-robot interaction, adult-child interaction, adult-adult interaction, human-robot interaction, action learning, social learning scenario, social robotics, software agents, top-down feedback structures, tutoring behavior}},
  pages        = {{1--6}},
  publisher    = {{IEEE}},
  title        = {{{People modify their tutoring behavior in robot-directed interaction for action learning}}},
  doi          = {{10.1109/DEVLRN.2009.5175516}},
  year         = {{2009}},
}