Work

Trust and acceptance of AI caregiving robots: The role of ethics and self-efficacy

Year: 2024

Type: article

Abstract: As AI technology rapidly advances, ethical concerns have emerged as a global focus. This study introduces a second-order scale for analyzing AI ethics and proposes a model to examine the intention to use AI caregiving robots. The model incorporates elements from the Unified Theory of Acceptance and Use of Technology (UTAUT)—including social influence and performance expectancy—alongside AI ethics, self-efficacy, and trust in AI. The findings reveal that AI ethics and social influence enhance self-efficacy, which in turn increases trust in AI, performance expectancy, and the intention to use AI caregiving robots. Moreover, trust in AI and performance expectancy directly and positively influence the intention to adopt these robots. By incorporating AI ethics, the model provides a more comprehensive perspective, addressing dimensions often overlooked in conventional models. The proposed model is validated across diverse samples, demonstrating both its theoretical and practical significance in predicting AI usage intentions.

Source: Computers in Human Behavior Artificial Humans

DOI: 10.1016/j.chbah.2024.100115

Authors: Cathy S. Lin, Ying-Feng Kuo, Ting-Yu Wang

Institution: National University of Kaohsiung

Language: English

Topic: Social Robot Interaction and HRI

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,500

Funder: National Science and Technology Council