HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Agents, Robotics, and Social Interaction / Conversational Agent Persona, Personality, and Social Trait Design

Traditional personality tests are tedious and lack personalization, resulting in poor user experience.

lightbulbPractical problemConversational Agent Persona, Personality, and Social Trait Design

Traditional personality tests are tedious and lack personalization, resulting in poor user experience.

CUI '24ChatFive: Enhancing User Experience in Likert Scale Personality Test through Interactive Conversation with LLM Agents

Similar questions

lightbulbPractical problemConversational Agent Persona, Personality, and Social Trait Design

Users struggle to efficiently obtain personalized, inspiring creative ideas.

CHI '25Seeking Inspiration through Human-LLM Interaction

lightbulbPractical problemConversational Agent Persona, Personality, and Social Trait Design

Lonely users of AI companions face potential mental health and interpersonal relationship risks.

CHI '25The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships

lightbulbPractical problemConversational Agent Persona, Personality, and Social Trait Design

Users find that LLM-driven conversational agents lack consistent persona expression across multi-turn dialogue.

CUI '24Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents

lightbulbPractical problemConversational Agent Persona, Personality, and Social Trait Design

Customers have low acceptance of human-like intelligent customer service and it fails to meet expectations.

CUI '24Beyond Functionality: Revealing User Experience Dimensions of Embodied Conversational Agents in Customer Service

lightbulbPractical problemConversational Agent Persona, Personality, and Social Trait Design

Users struggle to interact efficiently with conversational agents that lack authentic personality.

CUI '24Language Cues for Expressing Artificial Personality: A Systematic Literature Review for Conversational Agents

lightbulbPractical problemConversational Agent Persona, Personality, and Social Trait Design

Traditional chatbots lack personalization and struggle to provide authentic and engaging interactive experiences.

CUI '24Chatbots With Attitude: Enhancing Chatbot Interactions Through Dynamic Personality Infusion

Related papers

Seeking Inspiration through Human-LLM Interaction

Xinrui Lin, heyan huang, Kaihuang Huang

The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships

Renwen Zhang, Han Li, Han Meng

Language Cues for Expressing Artificial Personality: A Systematic Literature Review for Conversational Agents

Alexander Dregger, Maximilian Seifermann, Andreas Oberweis

Chatbots With Attitude: Enhancing Chatbot Interactions Through Dynamic Personality Infusion

Nikola Kovacevic, Tobias Boschung, Christian Holz

Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground

Zhenyu Xu, Hailin Xu, Zhouyang Lu

Synlogue with Aizuchi-bot: Investigating the Co-Adaptive and Open-Ended Interaction Paradigm

Kazumi Yoshimura, Dominique Chen, Olaf Witkowski

Beyond the Waiting Room: Patient's Perspectives on the Conversational Nuances of Pre-Consultation Chatbots

Brenna Li, Ofek Gross, Noah Crampton

CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models

Juhye Ha, Hyeon Jeon, DaEun Han

User Perceptions of Extraversion in Chatbots after Repeated Use

Sarah Theres Völkel, Ramona Schödel, Lale Kaya

Exploring Semi-Supervised Learning for Predicting Listener Backchannels

Vidit Jain, Maitree Leekha, Rajiv Ratn Shah