helpResearch questionConversational Agent Persona, Personality, and Social Trait Design
Can semi-supervised learning effectively predict listener backchannel signals and their specific types in conversation?Agents, Robotics, and Social Interaction / Conversational Agent Persona, Personality, and Social Trait Design
Can semi-supervised learning effectively predict listener backchannel signals and their specific types in conversation?
Similar questions
helpResearch questionConversational Agent Persona, Personality, and Social Trait Design
Which large language model (LLM) characteristics significantly influence users' everyday inspiration-seeking processes?helpResearch questionConversational Agent Persona, Personality, and Social Trait Design
How can large language models inspire users in creative tasks such as travel, cooking, and self-care?helpResearch questionConversational Agent Persona, Personality, and Social Trait Design
What limitations and ethical issues exist when large language models help users find inspiration?helpResearch questionConversational Agent Persona, Personality, and Social Trait Design
What types of harmful behavior occur in AI companion system interactions?helpResearch questionConversational Agent Persona, Personality, and Social Trait Design
What roles does AI play in these harmful interactions?helpResearch questionConversational Agent Persona, Personality, and Social Trait Design
How do harmful AI behaviors affect users' mental health and interpersonal relationship skills?Related papers
CHI 2025
Seeking Inspiration through Human-LLM Interaction
Xinrui Lin, heyan huang, Kaihuang Huang
CHI 2025
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
Renwen Zhang, Han Li, Han Meng
CUI 2024
Language Cues for Expressing Artificial Personality: A Systematic Literature Review for Conversational Agents
Alexander Dregger, Maximilian Seifermann, Andreas Oberweis
CUI 2024
Chatbots With Attitude: Enhancing Chatbot Interactions Through Dynamic Personality Infusion
Nikola Kovacevic, Tobias Boschung, Christian Holz
UbiComp 2024
Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground
Zhenyu Xu, Hailin Xu, Zhouyang Lu
CHI 2024
Synlogue with Aizuchi-bot: Investigating the Co-Adaptive and Open-Ended Interaction Paradigm
Kazumi Yoshimura, Dominique Chen, Olaf Witkowski
CHI 2024
Beyond the Waiting Room: Patient's Perspectives on the Conversational Nuances of Pre-Consultation Chatbots
Brenna Li, Ofek Gross, Noah Crampton
CHI 2024
CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models
Juhye Ha, Hyeon Jeon, DaEun Han
CHI 2022
User Perceptions of Extraversion in Chatbots after Repeated Use
Sarah Theres Völkel, Ramona Schödel, Lale Kaya
CHI 2021
Exploring Semi-Supervised Learning for Predicting Listener Backchannels
Vidit Jain, Maitree Leekha, Rajiv Ratn Shah