Human-robot proxemics: Physical and psychological distancing in human-robot interaction

By Jonathan Mumm, Bilge Mutlu. IEEE/ACM International Conference on Human-Robot Interaction, 2011

534 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/c46cc46c85abc942a3cab4f1a3186ae4456b2f62

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Citations in the corpus

Toward seamless human-robot handovers (2013, background): “Another study explored how proxemics varies with a robot’s likability and eye gaze (Mumm & Mutlu, 2011).”
From Proxemics Theory to Socially-Aware Navigation: A Survey (2014, background): “Experiments done by [70] show that when a robot looks at people, these latter tend to increase their physical distance with the robot and this increase is even bigger when they dislike the robot.”
A Survey of Methods for Safe Human-Robot Interaction (2017, background): “The previously mentioned work by Mumm and Mutlu (2011) also considered personal differences among humans while evaluating proxemic behaviors during HRI, grounding the work in the context of interpersonal distancing models for human-human interaction. In this study, the researchers manipulated the li”
Social eye gaze in human-robot interaction (2017, background): “Interestingly, this effect of interpersonal dynamics does not extend to psychological distancing during conversation, as measured by people’s willingness to answer a series of revealing questions (Mumm & Mutlu, 2011).”
Pay attention!: designing adaptive agents that monitor and improve user engagement (2012, background): “However, research in HCI provides evidence that humanlike representations improve educational outcomes such as student motivation and point to a rich design space for creating hu-manlike behavior such as verbal feedback that might further enhance these outcomes [33].”
Human-aware robot navigation: A survey (2013, background): “Comfortable motion is currently mostly implemented as making the robot prefer additional distances on top of safety distances.”
Interactions With Robots: The Truths We Reveal About Ourselves (2017, background): “When these models are tested in human–robot dyads, people respond to robots in social interactions in similar (although not exactly the same) ways as they respond to humans (Mumm & Mutlu 2011).”
Designing robots with movement in mind (2014, background): “A significant body of work concerning the analysis of nonverbal acts and resulting perceptions exists, e.g., Knapp and Hall (2002); Moore, Hickson, and Stacks (2010).”