The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Trust in Cognitive Assistants: A Theoretical Framework
|
|
Author(s): Md. Abul Kalam Siddike (University of Dhaka, Dhaka, Bangladesh)and Yoji Kohda (Japan Advanced Institute of Science and Technology, Nomi, Japan)
Copyright: 2019
Volume: 6
Issue: 1
Pages: 12
Source title:
International Journal of Applied Industrial Engineering (IJAIE)
Editor(s)-in-Chief: Sadaya Kubo (Setsunan University, Japan)
DOI: 10.4018/IJAIE.2019010104
Purchase
|
Abstract
The main purpose of this research is to develop a framework of trust determinants in the interactions between people and cognitive assistants (CAs). CAs are defined as new decision tools that can provide people with high quality recommendations and help them make data-driven decisions to understand the environment around them. Trust is defined as the belief of people that CAs will help them reach a desired decision. An extensive review on trust in psychology, sociology, economics and policy making, organizational science, automation, and robotics was conducted to determine the factors that influence people's trust in CAs. On the basis of this review, a framework of trust determinants in people's interactions with CAs was developed where reliability, attractiveness, and emotional attachments positively influence people's trust in CAs. The framework also shows that relative advantages of innovativeness positively affect the intention to use CAs. Future research directions are suggested for developing and validating more concrete scales in measuring trust determinants in the interactions between people and CAs.
Related Content
|
Vejn Sredic.
© 2023.
17 pages.
|
|
Murtadha Albuali.
© 2021.
6 pages.
|
|
Jae-Dong Hong.
© 2021.
20 pages.
|
|
Brian J. Galli.
© 2021.
16 pages.
|
|
Ali Keshavarz Panahi, Sohyung Cho, Chris Gordon.
© 2021.
16 pages.
|
|
Norman Gwangwava.
© 2021.
14 pages.
|
|
Brian J. Galli.
© 2020.
27 pages.
|
|
|