TEAMMATE: A Scalable System for Measuring Affect in Human-Machine Teams

Strong empathic bonding between members of a team can elevate team performance tremendously but it is not clear how such bonding within human-machine teams may impact upon mission success. Prior work using self-reporting surveys and end-of-task metrics do not capture how such bonding may evolve over time and impact upon task fulfillment. Furthermore, sensor-based measures do not scale easily to facilitate the need to collect substantial data for measuring potentially subtle effects. We introduce TEAMMATE, a system designed to provide insights into the emotional dynamics humans may form for machine teammates that could critically impact upon the design of human machine teams.

[1]  鈴木 聡.  Media Equation 研究の背景と動向 , 2011 .

[2]  Julia Fink,et al.  Anthropomorphism and Human Likeness in the Design of Robots and Human-Robot Interaction , 2012, ICSR.

[3]  Cynthia Breazeal,et al.  Empathic concern and the effect of stories in human-robot interaction , 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[4]  Ana Paiva,et al.  Social Robots for Long-Term Interaction: A Survey , 2013, International Journal of Social Robotics.

[5]  Christoph Bartneck,et al.  Use of Praise and Punishment in Human-Robot Collaborative Teams , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

[6]  Michiteru Kitazaki,et al.  Measuring empathy for human and robot hand pain using electroencephalography , 2015, Scientific Reports.

[7]  Willem F. G. Haselager,et al.  Do Robot Performance and Behavioral Style a ↵ ect Human Trust ? A Multi-Method Approach , 2014 .

[8]  Samuel S. Monfort,et al.  Almost human: Anthropomorphism increases trust resilience in cognitive agents. , 2016, Journal of experimental psychology. Applied.

[9]  James C. Boerkoel,et al.  Human-Robot Trust and Cooperation Through a Game Theoretic Framework , 2016, AAAI.

[10]  Chara Tzavara,et al.  The Toronto Empathy Questionnaire: Reliability and Validity in a Nationwide Sample of Greek Teachers , 2017 .

[11]  Jessie Y. C. Chen,et al.  A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction , 2011, Hum. Factors.