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• W4298112171 abstract "Human-robot communication is key to establishing transparency of robot states, and promoting psychological safety of the people interacting with a robot. Such communication is especially challenging for appearance-constrained robots, as they do not afford to employ commonly-used an-thropomorphic modalities such as facial expressions. We explore how an appearance-constrained quadruped robot can use LEDs and gestures to generate affective expressions in order to non-verbally communicate. Traditionally, affect has been used as a signalling paradigm in Human-Robot Interaction where expressions are designed with the goal of communicating a particular emotion such as happiness. Instead, this work explores a generalizable mapping from informative messages (e.g., I am listening) to abstract affective expressions. We modulate the expressions by a model of affect, taking inspirations from Affect Control Theory (ACT). To explore designing the expressions, we first conducted pilot semi-structured interviews consulting stakeholders who regularly operate appearance-constrained robots (N = 12) to understand the communication requirements. Then, we designed a set of six affective expressions and evaluated them in a crowdsourced study (N = 450). Findings suggest that the expressions can significantly improve effective communication of a robot’s awareness and intent, and promote psychological safety of people interacting with it." @default.
• W4298112171 created "2022-10-01" @default.
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• W4298112171 date "2022-08-29" @default.
• W4298112171 modified "2023-09-27" @default.
• W4298112171 title "From Message to Expression: Exploring Non-Verbal Communication for Appearance-Constrained Robots" @default.
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• W4298112171 doi "https://doi.org/10.1109/ro-man53752.2022.9900520" @default.
• W4298112171 hasPublicationYear "2022" @default.
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