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TitlePredicting User Acceptance of Strong AI using Extension of Theory of Planned Behavior: Focused on the Age Group of 20s2021-06-01 15:25
Writer Level 10

Serial Number: http://www.riss.kr/link?id=A107101880


Title: Predicting User Acceptance of Strong AI using Extension of Theory of Planned Behavior: Focused on the Age Group of 20s

Author: RHEE CHANG SEOP, Hyun Jung Rhee

Journal: The Korea Contents Society

Vol: 20(10)

Pages: 284-293

Date: 2020.

Register Information: KCI

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<Abstract>

The rapid progress of AI technology gives us the expectation to solutions to various problems in our society, and at the same time, it gives us anxiety about the side effects that can occur if AI develops beyond human control. This study was conducted in the early 20s with less objection to advanced devices. We attempted to provide clues to understand thoughts and attitudes of the targets about the future environment that will be brought by AI through the process of finding intent the acceptance of strong AI technology. For this, we applied the Theory of Planned Behavior, and further expanded this research model to identify factors affecting the attitude toward AI. As a result, the attitude toward AI and perceived behavioral control had a significant effect on the intention to use to strong AI. In addition, we found that the expectation of the benefit of improving task performance and the anxiety on the threat of relationship disturbance had a significant effect on the attitude toward AI. This study suggests implications for AI-related companies establishing the direction of technology development and for government setting a policy direction for AI adoption.

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