评估在发展中国家的学术界采用人工智能:一个信任和隐私增强的UTAUT框架
Md Masud Rana1, Mohammad Safaet Siddiqee2, Md Nazmus Sakib1
1Department of Management, University of Dhaka, Bangladesh.
Heliyon
|September 24, 2024
概括
用户信任和隐私问题显著影响发展中国家的人工智能采用. 虽然信任增强了意图,但隐私问题可能会阻碍它,影响人工智能技术的学术使用.
科学领域:
- 在教育中采用人工智能.
- 技术接受模型. 技术接受模型.
- 发展中国家的行为意图.
背景情况:
- 快速的AI进化需要了解用户采用因素.
- 人工智能技术越来越多地用于学术目的.
- 发展中国家在人工智能整合方面面临着独特的挑战.
研究的目的:
- 解释用户的行为意图和在发展中国家为学术目的使用人工智能.
- 将技术接受和使用统一理论 (UTAUT) 模型扩展到信任和隐私方面.
- 确定影响教师,研究人员和学生采用人工智能的关键因素.
主要方法:
- 使用了UTAUST模型,增加了信任和隐私.
- 收集了310名人工智能用户 (教师,研究人员,学生) 的数据.
- 使用统计分析来确定显著关系.
主要成果:
- 行为意图与信任,社会影响,努力期望和绩效期望有积极联系.
- 隐私问题对行为意图产生了负面影响.
- 促进条件,行为意图和隐私显著影响了使用行为.
- 在信任和使用行为之间没有发现任何显著的联系.
结论:
- 信任和隐私对于教育部门采用人工智能技术至关重要.
- 解决隐私问题对于鼓励人工智能使用至关重要.
- 服务提供商必须优先考虑安全性,认可和透明度.
- 将人工智能与发展中国家的教育系统保持一致,需要了解用户的观点.
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