The Role of Name, Origin, and Voice Accent in a Robot’s Ethnic Identity

This paper presents the results of an experiment that was designed to explore whether users assigned an ethnic identity to the Misty II robot based on the robot's voice accent, place of origin, and given name. To explore this topic a 2 × 3 within subject study was run which consisted of a humanoid robot speaking with a male or female gendered voice and using three different voice accents (Chinese, American, Mexican). Using participants who identified as American, the results indicated that users were able to identify the gender and ethnic identity of the Misty II robot with a high degree of accuracy based on a minimum set of social cues. However, the version of Misty II presenting with an American ethnicity was more accurately identified than a robot presenting with cues signaling a Mexican or Chinese ethnicity. Implications of the results for the design of human-robot interfaces are discussed.

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Publication Details

Journal
Sensors
Published
2024-10-04
DOI
https://doi.org/10.3390/s24196421
Citations
6
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
3.86
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article

The Role of Name, Origin, and Voice Accent in a Robot’s Ethnic Identity

Jessica K. Barfield
6 citations
Sensors
Social Robot Interaction and HRI
3.86
article

The Role of Name, Origin, and Voice Accent in a Robot’s Ethnic Identity

Jessica K. Barfield
article en
6 citations

Abstract

This paper presents the results of an experiment that was designed to explore whether users assigned an ethnic identity to the Misty II robot based on the robot's voice accent, place of origin, and given name. To explore this topic a 2 × 3 within subject study was run which consisted of a humanoid robot speaking with a male or female gendered voice and using three different voice accents (Chinese, American, Mexican). Using participants who identified as American, the results indicated that users were able to identify the gender and ethnic identity of the Misty II robot with a high degree of accuracy based on a minimum set of social cues. However, the version of Misty II presenting with an American ethnicity was more accurately identified than a robot presenting with cues signaling a Mexican or Chinese ethnicity. Implications of the results for the design of human-robot interfaces are discussed.

SensorsVol. 24(19)
University of Kentucky (US)
Gender equality
Openalex Percentile: Top 7%
Social Robot Interaction and HRI
3.86
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