Conversational Interface cooperating with AI and Monitoring Technology adopting Human-in-the-Loop Interaction for Intelligent Behavioral Intervention
Open accessAbstract
The conversational user interface (CUI) for behavioral intervention has great potential to provide cost-effective and efficient solutions that can benefit human health. My PhD project aims to explore the potential of CUI grounded on domain knowledge, equipped with AI models (e.g., text generation and emotion detection), and supported by monitoring technology (mobile and wearable devices) to provide in-time and personalized behavioral intervention. For this purpose, we design a technical scheme for modularly developing such a conversational agent (CA) based on the concept of ‘Human-in-the-Loop’ [3], which enables the agent to continuously improve the integrated AI models and the agent itself. We expect to improve the scheme into an easy-to-use framework (or toolkit) that can improve collaboration between domain experts and developers to efficiently create such a CA. Ultimately, we will explore the interactive technologies of CUI for better behavioral intervention.
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Conversational interfaces present distinctive design challenges for HITL systems that rely on natural language interaction.
“Conversational interfaces present distinctive design challenges for HITL systems that rely on natural language interaction.”
From Human-in-the-Loop Artificial Intelligence: A Systematic Review of Concepts, Methods, and Applications (2026) · cites this paper as [107]
The Motivation and Research Questions section identifies unique dialogue-design challenges for conversational agents in psychotherapy and behavioral intervention. The Abstract describes a proposed human-in-the-loop conversational agent, but the paper does not establish that these challenges apply to HITL systems relying on natural language interaction generally. (LLM, conf=0.84)
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Human-in-the-loop machine learning: a state of the art
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Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards
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Survey on psychotherapy chatbots
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BOOK REVIEW--Motivational Interviewing: Preparing People for Change
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Research works printed but not linked: 1
- [6]6. Siqi Shen, Charles Welch, Rada Mihalcea, and Verónica Pérez-Rosas. 2020. Counseling-Style Reflection Generation Using Generative Pretrained Transform- ers with Augmented Context. In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics, 1st virtual meeting, 10-20. https://aclanthology.org/2020.sigdial-1.2
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Lazaros, K., Vrahatis, A. G., & Kotsiantis, S. (2026) · Entropy · doi:10.3390/e28040377 · Cited by 50 · see citing works
Developing AI-Driven Tools and Technologies to Enhance the Lives of Individuals with Autism: Review
Balobaid, A. S., & Said, N. M. (2024) · International Journal of Electrical and Electronics Engineering · doi:10.14445/23488379/ijeee-v11i4p116 · Cited by 1 · see citing works
Robotic Motion Techniques for Socially Aware Navigation: A Scoping Review
Hermosilla-Diaz, J. E., Rechy-Ramirez, E. J., & Marı́n-Hernández, A. (2025) · Future Internet · doi:10.3390/fi17120552 · Cited by 1 · see citing works
- Authors
- Sun, X.
- Affiliations
- University of Amsterdam (NL)
- Corresponding author
- Sun, Xin
- ORCID
- Sun, Xin
- Venue
- 28th International Conference on Intelligent User Interfaces
- Publisher
- ACM
- Published
- 2023-03-27
- Pages
- 243-245
- OpenAlex
- W4360978622
- Cited by
- 3
- References
- 10
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1
- FWCI
- 1.43
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM International Conference on Intelligent User Interfaces (IUI) (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- conversational interfaces, chatbots, human-in-the-loop, behavioral interventions, emotion recognition, text generation, wearable devices, mobile health monitoring, personalized interventions, domain knowledge, agent development framework
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