Extended UTAUT model to analyze the acceptance of virtual assistant's recommendations using interactive visualisations

被引:3
|
作者
Valtolina, Stefano [1 ]
Matamoros Aragon, Ricardo Anibal [2 ]
Musiu, Elia [3 ]
机构
[1] Univ Milan, Dept Comp Sci, Milan, Italy
[2] Milan Bicocca Univ, Milan, Italy
[3] Social Things, Milan, Italy
来源
PROCEEDINGS OF THE WORKING CONFERENCE ON ADVANCED VISUAL INTERFACES AVI 2022 | 2022年
关键词
Human Computer Interaction; Recommender System; UTAUT; Interactive Visualization; INFORMATION-TECHNOLOGY; PERCEIVED RISKS; ADOPTION;
D O I
10.1145/3531073.3531129
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The use of learning objects (LOs) to create digital courses has been widely advocated by learning strategists and by teachers engaged in the e-learning domain. The ability to combine chunks of learning material as to meet complex educational requirements is still a challenge. This paper explores the idea that a learning assistant advises teachers about the e-learning modules to take into account for their courses. An AI-based digital assistant can provide significant opportunities, but might be perceived as a threat. The paper presents how teacher could perceive a virtual assistant as more trustworthy when it applies interactive visual strategies. To analyze teachers' acceptance of the digital assistant, our proposal aims at extending the Unified Theory of Acceptance and Use of Technology ( UTAUT) model in order to incorporate three new constructors: Communicability, perceived trust and experience. To this end, 14 teachers have been involved in a user tests.
引用
收藏
页数:5
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