Matthias Scheutz, Ph.D. Ph.D.
Affiliations: | Computer Science & Cognitive Science | Indiana University & Tufts, Indianapolis, IN, United States |
Website:
http://mypage.iu.edu/~mscheutz/Google:
"Matthias Scheutz"Cross-listing: Neurotree
Children
Sign in to add traineeJack Jeremy Harris | grad student | 2008-2011 | Indiana University |
Richard E. Veale | grad student | 2008-2014 | Indiana University (Neurotree) |
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Publications
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Chita-Tegmark M, Scheutz M. (2020) Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human-Robot Interaction Research. International Journal of Social Robotics. 1-21 |
Law T, Chita-Tegmark M, Scheutz M. (2020) The Interplay Between Emotional Intelligence, Trust, and Gender in Human–Robot Interaction: A Vignette-Based Study International Journal of Social Robotics. 1-13 |
Chita-Tegmark M, Ackerman JM, Scheutz M. (2019) Effects of Assistive Robot Behavior on Impressions of Patient Psychological Attributes: Vignette-Based Human-Robot Interaction Study. Journal of Medical Internet Research. 21: e13729 |
Ferreira GB, Scheutz M. (2018) Accidental encounters: can accidents be adaptive? Adaptive Behavior. 26: 285-307 |
Sarathy V, Scheutz M. (2018) A Logic-Based Computational Framework for Inferring Cognitive Affordances Ieee Transactions On Cognitive and Developmental Systems. 10: 26-43 |
Wilson JR, Lee NY, Saechao A, et al. (2018) Supporting Human Autonomy in a Robot-Assisted Medication Sorting Task International Journal of Social Robotics. 10: 621-641 |
Arnold T, Scheutz M. (2018) HRI ethics and type-token ambiguity: what kind of robotic identity is most responsible? Ethics and Information Technology. 1-10 |
Williams T, Yazdani F, Suresh P, et al. (2018) Dempster-Shafer theoretic resolution of referential ambiguity Autonomous Robots. 43: 389-414 |
Scheutz M. (2017) The Case for Explicit Ethical Agents Ai Magazine. 38: 57-64 |
Scheutz M, DeLoach SA, Adams JA. (2017) A Framework for Developing and Using Shared Mental Models in Human-Agent Teams Journal of Cognitive Engineering and Decision Making. 11: 203-224 |