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20222026
most citedUnderstanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration

13 citations · 22 across the 10 of their papers we have counts for

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cs.HC2026

The Individual-Targeting Assumption: A Systematic Review of Proactive Robots in Human Group Settings

Tauhid Tanjim, Tasmia Mayen, Malte F. Jung +1

Proactive robots are increasingly deployed in public environments where people are encountered not as isolated individuals but as members of cohesive social groups. Yet whether the…

cs.HC2026★ 1 cited

Understanding How Accessibility Practices Impact Teamwork in Mixed-Ability Teams that Collaborate Virtually

Crescentia Jung, Kexin Cheng, Sharon Heung +2

Virtual collaboration has transformed how people in mixed-ability teams, composed of disabled and non-disabled people, work together by offering greater flexibility. In these setti…

cs.HC2024★ 13 cited

Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration

Eike Schneiders, Christopher Fourie, Stanley Celestin +2

Successful entrainment during collaboration positively affects trust, willingness to collaborate, and likeability towards collaborators. In this paper, we present a mixed-method st…

cs.HC2023

What Predicts Interpersonal Affect? Preliminary Analyses from Retrospective Evaluations

Maria Teresa Parreira, Michael J. Sack, Malte Jung

While the field of affective computing has contributed to greatly improving the seamlessness of human-robot interactions, the focus has primarily been on the emotional processing o…

cs.HC2023★ 3 cited

(Social) Trouble on the Road: Understanding and Addressing Social Discomfort in Shared Car Trips

Alexandra Bremers, Natalie Friedman, Sam Lee +5

Unpleasant social interactions on the road can negatively affect driving safety. At the same time, researchers have attempted to address social discomfort by exploring Conversation…