***Call for Papers***
TheoriseHAI: 1st Workshop on Shaping Human-Agent Interactions Through Interdisciplinary Theories
Hosted at the 12th International Conference on Human-Agent Interaction (HAI), 2024, 24-27 November, Swansea, United Kingdom
Conference website: https://hai-conference.net/hai2024/
Workshop website: https://sites.google.com/view/theorisehai/home

**Workshop Introduction**
The rapid advancement in artificial intelligence, especially in machine learning and deep learning, has accelerated the introduction of AI agents into humans' daily lives. This has increased interactions between humans and agents, such as home assistants, customer service chatbots, and robots in education and healthcare. These human-agent interactions (HAI) are becoming integral to various aspects of life, such as performing tasks that support, entertain, and participate in educational activities. As HAI becomes more pervasive, understanding and optimising it and studying how it affects human behaviour are crucial to ensure its effective and safe integration across multiple domains.
The extensive interactions between humans and agents highlighted several problems in HAI. (1) Most of these interactions are command-based or question-answering systems, lacking the ability to interact intuitively with humans. (2) Non-use and rejection of agents when applied in real-world scenarios. (3) Increased concern over their ethical and social impact on human behaviour and society. (4) Not designed to manage breakdown situations. These problems emerged due to the machine-centric perspective on developing human-agent interactions. Coping with these problems, an alternative perspective to study, understand, and develop HAI that has emerged recently is Human-centered AI (HCAI). HCAI focuses on developing agents capable of collaborating with people to help them achieve their goals effectively, by putting focus on the human.

**Workshop Focus**
The TheoriseHAI workshop will explore psychological and cognitive aspects of HAI, exploring how human behaviour and mental models influence and are influenced by interactions with agents. The workshop aims to bring together researchers and practitioners from various fields to explore both established and new theories, design principles, and behavioural insights that underpin effective human-agent interactions.
Mainly we will explore:
-- Old theories in present research: how classic theories find realisation in modern research and development practices
-- New theories and modern approaches: how new theories provide new horizons of research and potentially new applications of agents
-- Facilitate Interdisciplinary exchange: how researchers with different backgrounds can develop productive intersections

Topics of interest include, but are not limited to:
-- Human-Agent Interaction (HAI) and its effects on human behaviour
-- Design principles for effective human-agent interaction
-- Proxemics Theory
-- Dialogue Theory
-- Activity Theory
-- Collective Intentionality
-- Theory of Mind
-- Belief-Desire-Intention (BDI) models
-- Cyborg Theory
-- More-than-human interaction
-- Ecology/Technology

**Submission Guidelines**
We invite contributions in the form of extended abstracts. Submissions can be up to 2-page long (excluding references). Papers must be in PDF format, including abstract, figures and references, and according to the ACM SIGCHI format. The reviewing will be single-blind. All submissions will be made electronically through the EasyChair conference system. Accepted extended abstracts will be published on the workshop website.
You can make submissions at: https://easychair.org/conferences/?conf=1theorisehai
Latex and word templates for submission are available at: https://sigchi.org/resources/guides-for-authors/accessibility/

**Important Dates**
Submission Deadline: 10/10/2024
Notification of Acceptance: 24/10/2024
Camera-ready Deadline: 7/11/2024
Workshop Date: 24/11/2024

**Workshop Organizers**
Maitreyee Tewari, Center for Collective Learning, CIAS, Corvinus University, Hungary
Michele Persiani, Department of Computing Science, Umea University, Sweden
Roland Chen, Oxford Internet Institute, Oxford University, UK
Linda Li, Oxford Internet Institute, Oxford University, UK

For any inquiries, please contact maittewa@cs.umu.se.

We look forward to your submissions and to an exciting discussion on advancing human-centered AI in human-agent interactions!