Extending the Affective Technology Acceptance Model to Human-Robot Interactions: A Multi-Method Perspective
Sarah Jessup,
Sasha M. Willis,
Gene Alarcon
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 … Show more
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