Paper Type
Complete
Abstract
The purpose of this study is to investigate patient motivation for adopting Conversational Artificial Intelligence Health Assistants (CAIHAs) using a modified Extended Valence Framework (EVF) that includes trust, risk, benefit, and intention. Additionally, three antecedents of trust and risk are included – relative advantage, resistance to change, and privacy concerns. Partial Least Squares (PLS) was used to analyze the model with 112 participants. Results indicate a clear path to the intention to adopt CAIHAs through trust and benefit, explaining 74.3% of intention. In addition, the antecedents relative advantage and resistance to change had significant relationships with trust, while resistance to change and privacy concerns had significant relationships with risk. Overall, this research finds the path to adoption is through trust and benefit with the significant antecedents relative advantage and resistance to change.
Paper Number
1281
Recommended Citation
Al-lataifeh, Zainab; Harris, Mark; Smith, James N.; and Chin, Amita Goyal, "Assessing the Adoption of Conversational AI Health Assistants Using a Trust-based Extended Valence Framework" (2024). AMCIS 2024 Proceedings. 11.
https://aisel.aisnet.org/amcis2024/health_it/health_it/11
Assessing the Adoption of Conversational AI Health Assistants Using a Trust-based Extended Valence Framework
The purpose of this study is to investigate patient motivation for adopting Conversational Artificial Intelligence Health Assistants (CAIHAs) using a modified Extended Valence Framework (EVF) that includes trust, risk, benefit, and intention. Additionally, three antecedents of trust and risk are included – relative advantage, resistance to change, and privacy concerns. Partial Least Squares (PLS) was used to analyze the model with 112 participants. Results indicate a clear path to the intention to adopt CAIHAs through trust and benefit, explaining 74.3% of intention. In addition, the antecedents relative advantage and resistance to change had significant relationships with trust, while resistance to change and privacy concerns had significant relationships with risk. Overall, this research finds the path to adoption is through trust and benefit with the significant antecedents relative advantage and resistance to change.
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