Extending the Affective Technology Acceptance Model to Human-Robot Interactions: A Multi-Method Perspective

Date
2023-01-03
Authors
Jessup, Sarah
Willis, Sasha M.
Alarcon, Gene
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491
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Abstract
The current study sought to extend the Affective Technology Acceptance (ATA) model to human-robot interactions. We tested the direct relationship between affect and technology acceptance of a security robot. Affect was measured using a multi-method approach, which included a self-report survey, as well as sentiment analysis, and response length of written responses. Results revealed that participants who experienced positive affect were more likely to accept technology. However, the significance and direction of the relationship between negative affect and technology acceptance was measurement dependent. Additionally, positive and negative sentiment words accounted for unique variance in technology acceptance, after controlling for self-reported affect. This study demonstrates that affect is an important contributing factor in human-robot interaction research, and using a multi-method approach allows for a richer, more complete understanding of how human feelings influence robot acceptance.
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Human-Robot Interactions, affect, affective technology acceptance model, human-robot interaction, qualitative analysis, technology acceptance
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10
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Proceedings of the 56th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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