Exploring User Engagement Through an Interaction Lens: What Textual Cues Can Tell Us about Human-Chatbot Interactions-Reference-Cited by-同舟云学术

Exploring User Engagement Through an Interaction Lens: What Textual Cues Can Tell Us about Human-Chatbot Interactions

Published:2024-07-08 Issue: Volume: Page:
ISSN:
Container-title:ACM Conversational User Interfaces 2024
language:
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Author:

He Linwei¹^ORCID,Braggaar Anouck²^ORCID,Basar Erkan³^ORCID,Krahmer Emiel²^ORCID,Antheunis Marjolijn²^ORCID,Wiers Reinout⁴^ORCID

Affiliation:

1. Department of Communication and Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Netherlands

2. Department of Communication and Cognition, Tilburg School of Humanities and Ditigal Sciences, Tilburg University, Netherlands

3. Behavioural Science Institute, Radboud University, Netherlands

4. Addiction Development and Psychopathology (ADAPT)-lab, Department of Psychology, University of Amsterdam, Netherlands

Funder

NWO

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640794.3665536

Reference66 articles.

1. Effectiveness and Safety of Using Chatbots to Improve Mental Health: Systematic Review and Meta-Analysis

2. Abhishek Aggarwal, Cheuk Chi Tam, Dezhi Wu, Xiaoming Li, and Shan Qiao. 2023. Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review. Journal of Medical Internet Research 25, (2023), e40789.

3. The Power of Personalization: A Systematic Review of Personality-Adaptive Chatbots

4. Conversational Error Analysis in Human-Agent Interaction

5. SearchBots

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