More Than Words: The Impact of Voice Assistant Personality Traits on Failure Mitigation

The influence of voice assistants' inherent characteristics and personality cues on human empathy remains an underexplored research area. This study investigates how manipulating voice assistants' perceived age and failure responses impact user empathy as a failure recovery mechanism, with a special focus on gender differences. Previous research shows that empathy can mitigate user frustration, reduce aggressive behavior, and promote respectful and constructive interactions with technology. To explore this, we conducted a mixed-methods study with 60 participants interacting with a voice assistant prototype designed to fail in most interactions. Our analysis reveals that users exhibit higher empathy toward voice assistants perceived as older, with a comparatively higher impact on males. Additionally, our findings reveal that humor leads to higher empathy, more pronounced in females. In contrast, ignoring failures lowers empathy, trust, and service recovery satisfaction overall. Our study demonstrates that tailoring perceived age and failure response styles of voice assistants can significantly impact users' empathy and subsequent interaction quality, highlighting the potential for these insights to guide the development of more empathetic and user-friendly voice assistants.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2025-09-03
DOI
https://doi.org/10.1145/3749518
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

More Than Words: The Impact of Voice Assistant Personality Traits on Failure Mitigation

Benjamin Tag, Zhanna Sarsenbayeva, Anusha Withana, Shakyani Jayasiriwardene
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
AI in Service Interactions
article

More Than Words: The Impact of Voice Assistant Personality Traits on Failure Mitigation

Benjamin Tag, Zhanna Sarsenbayeva, Anusha Withana, Shakyani Jayasiriwardene
article en

Abstract

The influence of voice assistants' inherent characteristics and personality cues on human empathy remains an underexplored research area. This study investigates how manipulating voice assistants' perceived age and failure responses impact user empathy as a failure recovery mechanism, with a special focus on gender differences. Previous research shows that empathy can mitigate user frustration, reduce aggressive behavior, and promote respectful and constructive interactions with technology. To explore this, we conducted a mixed-methods study with 60 participants interacting with a voice assistant prototype designed to fail in most interactions. Our analysis reveals that users exhibit higher empathy toward voice assistants perceived as older, with a comparatively higher impact on males. Additionally, our findings reveal that humor leads to higher empathy, more pronounced in females. In contrast, ignoring failures lowers empathy, trust, and service recovery satisfaction overall. Our study demonstrates that tailoring perceived age and failure response styles of voice assistants can significantly impact users' empathy and subsequent interaction quality, highlighting the potential for these insights to guide the development of more empathetic and user-friendly voice assistants.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 9(3)
The University of Sydney (AU), UNSW Sydney (AU)
Australian Government, Australian Research Council
Openalex Percentile: Top 88%
AI in Service Interactions
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