CHAI Workshop

July 24, 2022

Welcome to the Communication in Human-AI Interaction Workshop.

The goal of this one-day workshop is to bring together experts from AI, HCI, and Cognitive Sciences to explore and understand the specificities and characteristics of communication in human-AI interactions, as well as the salient principles, methods, and theories one has to consider to build meaningful human-AI communication systems.

Call for Contributions

Human interactions with AI systems are becoming part of our everyday life. If designed and developed efficiently, these interactions have great potential in enhancing human work, abilities, and well-being. Communication, here the iterative process of establishing shared meaning, is a crucial aspect of successful interaction and has been studied for years, from AI, HCI, and cognitive sciences points of view, among others.

We welcome papers presenting models, theories, and user studies across the topics of interest, as well as preliminary results and presentation of ongoing research.

Topics

Topics of interest include but are not limited to:

Human-AI Communication Design
Dialog Systems
Language and Communication
Communication and Interaction
Cooperation
Pragmatics
Interpersonal Communication
Theory of Mind
Common ground
Non-verbal Communication
Inclusion and Diversity in Human-AI Communication

Important Dates

~~May 13, 2022~~ May 20, 2022: Paper Due Date
~~June 3, 2022:~~ June 10, 2022 Notification of Paper Acceptance
~~June 17, 2022:~~ Camera-ready papers due
July 24, 2022: Workshop

Note: all deadlines are UTC-12

Accepted Papers

Riku Arakawa and Hiromu Yakura Human-AI communication for human-human communication: Applying interpretable unsupervised anomaly detection to executive coaching
Karan Taneja, Harshvardhan Sikka and Ashok Goel Human-AI Interaction Design in Machine Teaching
Joel Wester, Andreas Brännström and Juan Carlos Nieves Towards A Formalization of the Critical Friend and Socio-Moral Decision-Making in Autonomous Systems
Mrinal Rawat and Victor Barres Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations
Rita Sevastjanova and Mennatallah El-Assady Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language
Sylwia Majchrowska, Marta Plantykow and Milena Olech Handling sign language transcription system with the computer-friendly numerical multilabels
Qiaosi Wang and Ashok K. Goel Mutual Theory of Mind for Human-AI Communication
David Lindner and Mennatallah El-Assady Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning

Our Invited Speakers

Mark Riedl

Professor in Artificial Intelligence, Georgia Tech, USA

Nicolas Fay

Associate Professor in Cognitive Sciences, University of Western Australia

Schedule

Time	Authors	Title
09:00 - 10:00	Invited Speaker : Nicolas Fay	The role of iconicity and embodiment to the evolution of human communication – Link to slides
10:00 - 10:45	Session 1	Mental Models
	Rita Sevastjanova and Mennatallah El-Assady	Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language
	Qiaosi Wang and Ashok K. Goel	Mutual Theory of Mind for Human-AI Communication
10:45 - 11:15	Coffee break
11:15 - 12:30	Session 1	Mental Models (Continued)
	Joel Wester, Andreas Brännström and Juan Carlos Nieves	Towards A Formalization of the Critical Friend and Socio-Moral Decision-Making in Autonomous Systems
	David Lindner and Mennatallah El-Assady	Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning
12:30 - 14:00	Lunch Break
14:00 - 15:00	Session 2	Machine Learning and Natural Language Processing
	Riku Arakawa and Hiromu Yakura	Human-AI communication for human-human communication: Applying interpretable unsupervised anomaly detection to executive coaching
	Mrinal Rawat and Victor Barres	Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations
	Karan Taneja, Harshvardhan Sikka and Ashok Goel	Human-AI Interaction Design in Machine Teaching
15:00 - 15:30	Coffee Break
15:30 - 16:00	Session 2	Machine Learning and Natural Language Processing (Continued)
	Sylwia Majchrowska, Marta Plantykow and Milena Olech	Handling sign language transcription system with the computer-friendly numerical multilabels
16:00 - 17:00	Invited Speaker : Mark Riedl	Automated Story Generation as a Lens for Fundamental Artificial Intelligence – Link to slides