Exploring the Effects of Incorporating Human Experts to Deliver Journaling Guidance through a Chatbot
Yi-Chieh Lee, Naomi Yamashita, Yun Huang
Abstract
Chatbots are regarded as a promising technology for delivering guidance. Prior studies show that chatbots have the potential of coaching users to learn different skills; however, several limitations of chatbot-based approaches remain. People may become disengaged from using chatbot-guided systems and fail to follow the guidance for complex tasks. In this paper, we design chatbots with (HC) and without (OC) human support to deliver guidance for people to practice journaling skills. We conducted a mixed-method study with 35 participants to investigate their actual interaction, perceived interaction, and the effects of interacting with the two chatbots. The participants were randomly assigned to use one of the chatbots for four weeks. Our results show that the HC participants followed the guidance more faithfully during journaling practices and perceived a significantly higher level of engagement and trust with the chatbot system than the OC participants. However, after finishing the journaling-skill training session, the OC participants were more willing to keep using the learned skills than the HC participants. Our work provides new insights into the design of integrating human support into chatbot-based interventions for delivering guidance.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b52384bc-00e6-48d9-b2f3-bbaba6f0ea2bCited by top-tier papers5
- UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital LibraryQingxiao Zheng, Yiliu Tang, Yiren Liu, Weizi Liu et al.CHI 2022 · 99 citations
- Socio-technical Imaginaries: Envisioning and Understanding AI Parenting Supports through Design FictionMelina Petsolari, Seray B. Ibrahim, Petr SlovákCHI 2024 · 34 citations
- "Listen to Music, Listen to Yourself": Design of a Conversational Agent to Support Self-Awareness While Listening to MusicWanling Cai, Yucheng Jin, Xianglin Zhao, Li ChenCHI 2023 · 30 citations
- EvAlignUX: Advancing UX Evaluation through LLM-Supported Metrics ExplorationQingxiao Zheng, Minrui Chen, Pranav Sharma, Yiliu Tang et al.CHI 2025 · 12 citations
- Relational Mediators: LLM Chatbots as Boundary Objects in Psychotherapy CSCW033Jiatao Quan, Ziyue Li, Tian Qi Zhu, Yuxuan Li et al.CSCW 2026
Builds on5
- "I Hear You, I Feel You": Encouraging Deep Self-disclosure through a ChatbotYi-Chieh Lee, Naomi Yamashita, Yun Huang, Wai FuCHI 2020 · 333 citations
- Designing a Chatbot as a Mediator for Promoting Deep Self-Disclosure to a Real Mental Health ProfessionalYi-Chieh Lee, Naomi Yamashita, Yun HuangCSCW 2020 · 190 citations
- Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational AgentRainer Winkler, Sebastian Hobert, Antti Salovaara, Matthias Söllner et al.CHI 2020 · 176 citations
- Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry StrategiesWeiyan Shi, Xuewei Wang, Yoojung Oh, Jingwen Zhang et al.CHI 2020 · 93 citations
- Alexa as Coach: Leveraging Smart Speakers to Build Social Agents that Reduce Public Speaking AnxietyJinping Wang, Hyun Yang, Ruosi Shao, Saeed Abdullah et al.CHI 2020 · 75 citations
Related papers
- Automated vs. Human Health Coaching: Exploring Participant and Practitioner ExperiencesElliot G. Mitchell, Rosa Maimone, Andrea Cassells, Jonathan N. Tobin et al.CSCW 2021 · 83 citations
- Supporting Effective Goal Setting with LLM-Based ChatbotsMichel Schimpf, Sebastian Maier, Anton Wyrowski, Lara Christoforakos et al.CHI 2026 · 2 citations
- How to Guide Task-oriented Chatbot Users, and When: A Mixed-methods Study of Combinations of Chatbot Guidance Types and TimingsSu-Fang Yeh, Meng-Hsin Wu, Tze-Yu Chen, Yen-Chun Lin et al.CHI 2022 · 35 citations
- An LLM-Based Motivation-Aware Framework For AI Coaching For Behaviour ChangeVan Hoang, Eoin Rogers, Robert J. RossCHI 2026 · 2 citations
- Foody Talk: Exploring Opportunities for Conversational Food JournalingLucas M. Silva, Xi Lu, Emily X. Liang, Daniel A. EpsteinCHI 2025 · 9 citations
