Suggestive answers strategy in human-chatbot interaction: a route to engaged critical decision making
In this study, we proposed a novel chatbot interaction strategy based on the suggestive ending of answers. This strategy is inspired by the cliffhanger ending narrative technique, which ends a story without specifying conclusions to spark readers' curiosity as to what will happen next and is of...
Main Author: | Yusuke Yamamoto |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-03-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1382234/full |
Similar Items
-
Educational Psychology Aspects of Learning with Chatbots without Artificial Intelligence: Suggestions for Designers
by: Michal Černý
Published: (2023-01-01) -
Creativity and Innovation in Civic Spaces Supported by Cognitive Flexibility When Learning with AI Chatbots in Smart Cities
by: Sarah A. Chauncey, et al.
Published: (2024-02-01) -
Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science
by: Chiranjib Chakraborty, et al.
Published: (2023-10-01) -
Role of AI chatbots in education: systematic literature review
by: Lasha Labadze, et al.
Published: (2023-10-01) -
Chatbots for embarrassing and stigmatizing conditions: could chatbots encourage users to seek medical advice?
by: Dawn Branley-Bell, et al.
Published: (2023-09-01)