Sound Judgment: Properties of Consequential Sounds Affecting Human-Perception of Robots
Aimee Allen (1), Tom Drummond (2), Dana Kuli\'c (1) ((1) Monash, University - Australia, (2) University of Melbourne - Australia)

TL;DR
This study investigates how different properties of robot sounds influence human perceptions, revealing preferences for natural, rhythmic, and informative sounds to improve human-robot interaction.
Contribution
It identifies specific sound properties that affect human perception of robots, providing insights for designing more acceptable robot sounds.
Findings
Participants preferred natural and rhythmic sounds over machine-like noises.
High-pitched and loud sounds were generally disliked.
Informative and audible sounds increased perceived predictability.
Abstract
Positive human-perception of robots is critical to achieving sustained use of robots in shared environments. One key factor affecting human-perception of robots are their sounds, especially the consequential sounds which robots (as machines) must produce as they operate. This paper explores qualitative responses from 182 participants to gain insight into human-perception of robot consequential sounds. Participants viewed videos of different robots performing their typical movements, and responded to an online survey regarding their perceptions of robots and the sounds they produce. Topic analysis was used to identify common properties of robot consequential sounds that participants expressed liking, disliking, wanting or wanting to avoid being produced by robots. Alongside expected reports of disliking high pitched and loud sounds, many participants preferred informative and audible…
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Taxonomy
TopicsVehicle Noise and Vibration Control
