Encouraging Bystander Assistance for Urban Robots: Introducing Playful Robot Help-Seeking as a Strategy

Yu, Xinyan; Hoggenmüller, Marius; Tomitsch, Martin

doi:10.1145/3643834.3661505

Designing Interactive Systems Conference 2024

DOI: 10.1145/3643834.3661505

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Encouraging Bystander Assistance for Urban Robots: Introducing Playful Robot Help-Seeking as a Strategy

Xinyan Yu,

Marius Hoggenmüller,

Martin Tomitsch

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2024

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Evaluating Users’ Perception of Biologically Inspired Involuntary Behavior in Human–Robot Interaction

Maroto‐Gómez,

Fernández‐Rodicio,

Castro‐González

et al. 2024

Advanced Intelligent Systems

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Multimodal communication is a human feature that enables diverse interactions. In human–robot interaction (HRI), robots have to communicate using human skills so that they can seem natural and assist effectively. Most research uses predefined gestures to equip robots with social abilities. However, researchers scarcely consider generating bioinspired involuntary behavior to improve a robot's expressiveness and communication. Human studies revealed that involuntary behavior affects how others perceive communicative intentions. Therefore, mimicking human involuntary behavior may positively affect HRI. This article extends our previous work on equipping robots with involuntary behavior with a user study that evaluates the use of bioinspiration for complementing gestures. A preliminary test is conducted with 15 participants to determine if they can perceive the intensities of the involuntary processes heart rate, pupil size, blink rate, breathing rate, and motor activity. 63 new participants interacted with a robot with bioinspired behaviors or a robot only showing predefined gestures to evaluate the robots’ warmth, competence, and discomfort. The results show that the preliminary test participants differentiated the intensities of the involuntary processes. Participants in the second study find the robot with bioinspired behaviors significantly warmer and more competent than the robot with predefined gestures, with no discomfort difference.

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Evaluating Users’ Perception of Biologically Inspired Involuntary Behavior in Human–Robot Interaction

Maroto‐Gómez,

Fernández‐Rodicio,

Castro‐González

et al. 2024

Advanced Intelligent Systems

View full text Add to dashboard Cite

show abstract

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Encouraging Bystander Assistance for Urban Robots: Introducing Playful Robot Help-Seeking as a Strategy

Cited by 1 publication

References 34 publications

Evaluating Users’ Perception of Biologically Inspired Involuntary Behavior in Human–Robot Interaction

Evaluating Users’ Perception of Biologically Inspired Involuntary Behavior in Human–Robot Interaction

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