Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31243
Title: AI sensation and engagement: Unpacking the sensory experience in human-AI interaction
Authors: Foroudi, P
Marvi, R
Zha, D
Keywords: AI sensation;activation engagement;customer sensory experience;AI empathy;AI literacy
Issue Date: 13-May-2025
Publisher: Elsevier
Citation: Foroudi, P., Marvi, R. and Zha, D. (2025) 'AI sensation and engagement: Unpacking the sensory experience in human-AI interaction', International Journal of Information Management, 84, 102918, pp. 1 - 11. doi: 10.1016/j.ijinfomgt.2025.102918.
Abstract: Given the limited studies on AI sensation and its impact on consumer emotional response and engagement, we investigate its impact to drive engagement. Employing a mixed-methods approach, we began with a qualitative phase consisting of 68 interviews (18 healthcare employees, 37 users of Wearable Health Devices, 7 AI developers, and 6 academics). Grounded in the theories of constructed emotion and the uncanny valley, as well as insights from the qualitative phase, we developed a robust model investigating the role of AI sensation on costumer emotional responses and engagement. This was followed by a survey of 557 healthcare employees. Data analysis was conducted using SPSS for descriptive statistics and reliability assessments, and AMOS for confirmatory factor analysis to validate the robustness of our measurement models. our findings show that AI sensation can drive customer subjective feeling state and AI affects. We also found empirical evidence that both can mediate the relationship between AI sensation, customer subjective feeling state, AI affects and activation engagement. Our findings can offer valuable understanding for managers and AI developers, underscoring the important role of AI sensation for driving engagement.
URI: https://bura.brunel.ac.uk/handle/2438/31243
DOI: https://doi.org/10.1016/j.ijinfomgt.2025.102918
ISSN: 0268-4012
Other Identifiers: ORCiD: Pantea Foroudi https://orcid.org/0000-0003-4000-7023
ORCiD: Dongmei Zha https://orcid.org/0000-0002-4886-1278
Article number: 102918
Appears in Collections:Brunel Business School Research Papers

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