Tentative Program

Main track papers will be presented in the format of a panel, consisting of presentations of 7 minutes per paper, followed by a 25 mins panel-style discussion with presenting authors, led by a discussant (session chair). Audience will submit questions for consideration by the discussant. Each paper panel session will also include 1 to 2 pre-recorded paper presentations from authors who cannot attend in person.

The provocations session will include 3-minute presentations for each provocation paper, followed by a 15-minute soapbox-style discussion with presenters.

PAPER PANEL SCHEDULE

Paper panel #1: Trust, Human Behaviour, and CUIs

• Hearing Ambiguity: Exploring Beyond-Gender Impressions of Artificial Ambiguous Voices
• Navigating the Fog: How University Students Recalibrate Sensemaking Practices to Address Plausible Falsehoods in LLM Outputs
• Towards Teams being Led by a Conversational Agent
• How Managers Perceive AI-Assisted Conversational Training for Workplace Communication
• Exploring Artists’ and Art Viewers’ Perspectives for Art Chatbots: Implications for a Design Framework
• User Preferences in Conversational AI for Healthcare: Insights from an Interview Study
• When AI Joins the Negotiation Table: Evaluating AI as a Moderator

Paper panel #2: Designing CUIs

• Design Activity Simulation: Opportunities and Challenges in Using Multiple Communicative AI Agents to Tackle Design Problems
• Transparent Conversational Agents: The Impact of Capability Communication on User Behavior and Mental Model Alignment
• Towards Age-Inclusive Conversational interfaces: Understanding Requirements Across Age Groups
• Mitigating Response Delays in Free-Form Conversations with LLM-powered Intelligent Virtual Agents
• TacTalk: Personalizing Haptics Through Conversation
• The Art of Talking Machines: A Comprehensive Literature Review of Conversational User Interfaces
• Linguistic Diversity and Mental Well-Being: Co-Designing Custom AI Chatbots with Multilingual Mothers

Paper panel #3: In-Context and Context-Aware CUIs

• Learn, Explore and Reflect by Chatting: Understanding the Value of an LLM-Based Voting Advice Application Chatbot
• Chat with the ‘For You’ Algorithm: An LLM-Enhanced Chatbot for Controlling Video Recommendation Flow
• From Goals to Actions: Designing Context-aware LLM Chatbots for New Year’s Resolutions
• WatchWithMe: LLM-Based Interactive Guided Watching of Review Videos
• NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiences
• DesignMinds: Enhancing Video-Based Design Ideation with a Vision-Language Model and a Context-Injected Large Language Model
• ActionaBot: Structuring Metacognitive Conversations towards In-Situ Awareness in How-To Instruction Following

Paper panel #4: CUIs for Health and Wellbeing

• SmartEats: Investigating the Effects of Customizable Conversational Agent in Dietary Recommendations
• Beyond Functionality: Co-Designing Voice User Interfaces for Older Adults’ Well-being
• Understanding the Challenges and Design Opportunities of Using Voice Assistants to Support Postpartum Mothers in Brazil
• PlanFitting: Personalized Exercise Planning with Large Language Model-driven Conversational Agent
• Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction
• PITCH: Designing Agentic Conversational Support for Planning and Self-reflection
• Understanding the Multimodal Voice Assistant as an Informal and Social Care Support Tool in the UK

Paper panel #5: Usability, UX, and Evaluation of CUIs

• Multimodal Silent Speech-based Text Entry with Word-initials Conditioned LLM
• The Impact of a Chatbot’s Ephemerality-Framing on Self-Disclosure Perceptions
• Exploring LLMs for Automated Generation and Adaptation of Questionnaires
• A Pragmatics-based Approach to Proactive Digital Assistants for Data Exploration
• Outcomes, Perceptions, and Interaction Strategies of Novice Programmers Studying with ChatGPT
• From Synthetic to Human: The Gap Between AI-Predicted and Actual Pro-Environmental Behavior Change After Chatbot Persuasion
• Writing with AI Lowers Psychological Ownership, but Longer Prompts Can Help

TUTORIAL SCHEDULE

Tutorial #1

Building Conversational User Interfaces: An Architectural Exploration with Meta Glasses for Developers and Researchers

Tutorial #2

Designing conversational agent(ic) systems

PROVOCATIONS SCHEDULE

• Beyond the Illusion: LLMs and the Case for Pragmatic Cues in Conversation
• The Ethics of Psychological Manipulation in Adversarial Conversational AI: Confronting the Recognition-Behaviour Gap
• Fake Friends and Sponsored Ads: The Risks of Advertising in Conversational Search
• Crossing the Line? The Paradox of Human-Like Design in Conversational Agents
• Aye, Robot: What Happens When Robots Speak Like Real People?

DEMOS

• DeTAILS: Deep Thematic Analysis with Iterative LLM Support
• Eternagram: Inspiring Climate Action Through LLM-based Conversational Exploration of a Post-Devastation Climate Future
• Designing a Simulated Patient System for Medical Education
• Values in the Loop: Designing Interactive Optimization with Conversational Feedback

POSTERS

• Exploring Multi-LLM Collaboration to Power Conversational Recommender System: A Case Study of Dietary Recommendation
• Multi-Tool Analysis of User Interface & Accessibility in Deployed Web-Based Chatbots
• “Hey Google, How Do I File My Taxes?”: Evaluating Conversational Interfaces for Newcomers Navigating Government Services
• Motivations, Means, and Meanings: Understanding AI Tool Usage Among Students in the Global South
• Integrating Ethical AI Tools into Educational Practices for Enhancing Academic Integrity
• Elmo: An Embodied Conversational Assistant For Community Repair Cafés
• Fitting the Message to the Moment: Designing Calendar-Aware Stress Messaging with Large Language Models
• Lowering the Barrier: Conversational Interfaces as a Novice-Friendly Path to Data Visualisation
• Towards Enhancing Industrial Training Through Conversational AI
• How Large Language Models Classify and Semantically Explain Facial Expressions from Valence-Arousal Values
• Un-trusting the Chat: Designing for Calibrated Trust in Retrieval-Augmented Conversations
• AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data
• Impact Of Disfluent Speech Agent On Partner Models And Perspectve Taking
• Designing Dialogic Disclaimers: Principles for Ethical Conversational Design in LLM Interfaces
• Leveraging Generative and Rule-Based Models for Persuasive STI Education: A Multi-Chatbot Mobile Application
• Towards Voice-enabled Postnatal Development Tracking: Opportunities for Conversational Voice Assistants to Aid Child Development Monitoring
• Motion-mimicking Avatar Communication: A Pilot Study on Dyadic Creativity
• PaperPal: An AI-Powered Platform for Collaborative Reading and Discussion
• CitePeek: Contextual Citation Exploration Within Research Papers
• ResumeGenAI: Supporting Job Seekers with LLM-Driven Resume Feedback
• Exploring the role of metacognitive abilities and trust in interaction with Generative AI
• Remembering Things Makes Chatbots Sound Smarter, but Less Trustworthy - A Pilot Study
• Feedstack: Layering Structured Representations Over Unstructured Feedback to Scaffold Human-AI Conversation
• Designing Child-Safe Conversational AI: Three Dilemmas for Responsible Design
• Beyond Face Value: Visual and Auditory Signals in Human and Machine Trust Judgments
• Voice Profiles vs. Text Transcripts, Do Data Modality Layers in Voice Recordings Matter to Alexa Users? The Role of Modality in Voice Data Privacy
• Augmentation by Segmenting Audio in Speech Emotion Recognition