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Familiar Acoustic Cues for Legible Service Robots

Georgios Angelopoulos, Francesco Vigni, Alessandra Rossi, Giuseppina Russo, Mario Turco, Silvia Rossi

发表年份
2022
引用次数
7

摘要

When navigating in a shared environment, the extent to which robots are able to effectively use signals for coordinating with human behaviors can ameliorate dissatisfaction and increase acceptance. In this paper, we present an online video study to investigate whether familiar acoustic signals can improve the legibility of a robot’s navigation behavior. We collected the responses of 120 participants to evaluate their perceptions of a robot that communicates with one of the three used non-verbal navigational cues (an acoustic signal, an acoustic in pair with a visual signal, and a dissimilar frequency acoustic signal). Our results showed a significant legibility improvement when the robot used both light and acoustic signals to communicate its intentions compared to using only the same acoustic sound. Additionally, our findings highlighted that people also perceived differently the robot’s intentions when they were expressed through two frequencies of the mere sound. The results of this work suggest a paradigm that can help the development of mobile service robots in public spaces.

关键词

LegibilityRobotPerceptionComputer scienceHuman–computer interactionService robotSIGNAL (programming language)Service (business)Human–robot interactionAcoustics

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