Date: Monday 4th of December, 2023
Location: Workshops will be held in the Svea building, located on the Lindholmen Campus. The specific rooms will be announced shortly.
List of Workshops
- AI for People and with People (Half Day Morning) (Online)
- Interdisciplinary Approaches in Human-Agent Interaction (Half Day Afternoon)
- Cars As Social Agents (CArSA): A Perspective Shift in Human–Vehicle Interaction (Half Day Afternoon)
- [CANCELLED] First International Workshop on Reciprocal Knowledge Elicitation for Human-Agent Collaboration (Full Day)
- MULTITTRUST: Multidisciplinary Perspectives on Human-AI Team Trust (Full Day)
- The Importance of Human-Factors for Trusted Human-Robot Collaborations (Full Day)
- Why is my Agent so Slow? Deploying Human-Like Conversational Turn-Taking (Full Day)
AI for People and with People
Workshop Summary
Chalmers AI Center CHAIR is supporting the project “AI for people” to focus on the societal implications of AI from an interdisciplinary perspective. The project includes this workshop that emphasizes interactive and collaborative dimensions of AI, inviting renowned researchers from diverse fields. The workshop aims to foster discussions about the human facets of AI, focusing on ethical, social, artistic, and multidisciplinary aspects. It seeks to create an interdisciplinary dialogue among various disciplines such as interaction design, cognitive science, roboethics, and more. The workshop includes both presentations and a panel discussion. It is anticipated to emphasize the collaborative relationship between humans and AI, centering on enhancing human lives and prioritizing ethics, transparency, and inclusivity. It aims at positioning AI as a tool for positive societal transformation and human empowerment.
Workshop Page
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Meeting Link
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Length
Half Day Morning (Online)
Workshop Organizers
1. Gordana Dodig-Crnkovic, Chalmers University of Technology, Sweden
Interdisciplinary Approaches in Human-Agent Interaction
Workshop Summary
As the field of human-agent interaction (HAI) matures, it becomes essential to acknowledge and address the differing multidisciplinary approaches that support it to favor a common interdisciplinary understanding, thus, adopting a broader methodological and epistemological perspective. The field of HAI recognizes that agents are not merely isolated technologies but embedded within society. Consequently, the advancement of HAI is not only part of an engineering problem but one that must be informed by diverse disciplines such as legal, philosophical, psychological, design, medical, and sociological, among others. The goal of this workshop is to provide a space where participants can explore the diverse methodologies that compose HAI, reflect on diverse research practices and methodologies –with their strengths and limitations–, as well as providing a safe environment where participants can disseminate their research in clear and engaging terms, rather than technical, to foster interdisciplinary collaborations.
Workshop Page
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Half Day Afternoon
Workshop Organizers
1. Lucas Morillo-Mendez, Örebro University, Sweden
2. Laetitia Tanqueray, Lund University, Sweden
3. Samantha Stedtler, Lund University, Sweden
4. Dr. Katie Seaborn, Tokyo Institute of Technology, Japan
Cars As Social Agents (CArSA): A Perspective Shift in Human–Vehicle Interaction
Workshop Summary
The rapid advancement of autonomous vehicle (AV) technology has opened up new possibilities and challenges in the domain of human–agent interaction. As AVs become increasingly prevalent on our roads, it is crucial to understand how humans perceive and interact with these intelligent systems. This workshop aims to bring together researchers and practitioners to explore the perception of cars as social agents. We explore the shift in user perception and the implications for interactions between autonomous vehicles, human drivers, and vulnerable road users (pedestrians, cyclists, etc.). Additionally, we investigate the communication of goals and intentions between cars and humans, as well as issues related to mixed agency, stakeholder perspectives, in-vehicle avatars, and human–vehicle power dynamics. The workshop aims to uncover the benefits, risks, and design principles associated with this emerging paradigm.
Workshop Page
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Half Day Afternoon
Workshop Organizers
1. Franziska Babel, Linköping University, Sweden
2. Philipp Hock, Linköping University, Sweden
3. Sam Thellman, Linköping University, Sweden
4. Tom Ziemke, Linköping University, Sweden
First International Workshop on Reciprocal Knowledge Elicitation for Human-Agent Collaboration [CANCELLED]
Workshop Summary
We invite researchers and practitioners to submit an extended abstract regarding work that addresses or describes any aspect of knowledge elicitation in the context of human-agent collaboration. Specific topics for this workshop include but are not limited to:
- studies concerning knowledge elicitation with a quantitative/qualitative or a mixed-method approach, across a wide variety of application areas, e.g., finance, health, or manufacturing
- applied human-agent collaboration with implemented knowledge elicitation OR the potential to implement knowledge elicitation
- comparing the capabilities of humans and (software) agents in collaborative scenarios
- work on knowledge representation for facilitating human-agent communication
As we aim to encourage a meaningful discussion in the field of (reciprocal) knowledge elicitation, work that is unpublished, recently published or under review can be accepted for presentation depending on the novelty, significance and contributions of the work to the workshop theme.
Workshop Page
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Length
Full Day
Workshop Organizers
1. Joost Vennekens, KU Leuven, Belgium
2. Marjolein Deryck, KU Leuven, Belgium
3. Christian Fleiner, KU Leuven, Belgium
MULTITTRUST: Multidisciplinary Perspectives on Human-AI Team Trust
Workshop Summary
Our workshop emerges from the need to connect the multidisciplinary research community that concentrates on examining the different aspects of trust in human-AI teams. With the rapid growth of these teams across varied industries, there is an increasing call for careful consideration of the challenges that come with it. Trust, a vital construct within mixed human-robot teams, has been stud- ied extensively across disciplines, particularly in human-computer interaction and psychology. However, considering the complex dynamics and diverse team compositions, a comprehensive understanding of trust in human-AI teams remains elusive.
This second edition stems from the high enthusiasm registered during the first one. Notably, the exploration of practical methodologies to assess trust in mixed human-AI teams emerged as a focal point of discussions, sparking the interest of numerous potential contributors for future submissions. This edition focuses on integrating knowledge across fields with the goal of enhancing computational methods to estimate trust in human-AI teams. We aim to facilitate meaningful conversations and collaborations among researchers from various disciplines, including psychology, sociology, cognitive science, computer science, artificial intelligence, robotics, human-computer interaction, and human-robot interaction.
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Full Day
Workshop Organizers
1. Nicolo’ Brandizzi, Sapienza University of Rome, Italy
2. Carolina Centeio Jorge, Delft University of Technology, Netherlands
3. Roberto Cipollone, Sapienza University of Rome, Italy
4. Francesco Frattolillo, Sapienza University of Rome, Italy
5. Prof. Luca Iocchi, Sapienza University of Rome, Italy
6. Dr. Anna-Sophie Ulfert, Goethe University Frankfurt, Germany
The Importance of Human-Factors for Trusted Human-Robot Collaborations
The next generation of robots is expected to work collaboratively with humans in natural (dynamic) settings. For this, it is important to properly study and model human-factors, so that the AI and Robotic models can include them to enable robust Human-Robot Collaborations. This will enable safe and trustworthy hybrid decision-making approaches – Responsible AI – thereby streamlining robust collaborations (as per human-centred expectations).
This interdisciplinary workshop will focus on the intersection of Cognitive Human Factors, Interpretable & Explainable AI methods, Social Interaction, and Human-Centred Robotics to stimulate novel long-range avenues for innovative human-centred collaborative methods in real-world contexts.
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Full Day
Workshop Organizers
1. Karinne Ramirez-Amaro, Chalmers University of Technology, Sweden
2. Ilaria Torre, Chalmers University of Technology, Sweden
3. Maximilian Diehl, Chalmers University of Technology, Sweden
4. Emmanuel Dean, Chalmers University of Technology, Sweden
Why is my Agent so Slow? Deploying Human-Like Conversational Turn-Taking
The emphasis on one-to-one speak/wait spoken conversational interaction with intelligent agents leads to long pauses between conversational turns, undermines the flow and naturalness of the interaction, and undermines the user experience. Despite ground breaking advances in the area of generating and understanding natural language with techniques such as LLMs, conversational interaction has remained relatively overlooked. In this workshop we will discuss and review the challenges, recent work and potential impact of improving conversational interaction with artificial systems. We hope to share experiences of poor human/system interaction, best practices with third party tools, and generate design guidance for the community.
Workshop Page
Website link
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Full Day
Workshop Organizers
1. Dr. Matthew Peter Aylett, Heriot Watt University, United Kingdom
2. Eva Szekely, KTH Royal Institute of Technology, Sweden
3. Donald McMillan, Stockholm University, Sweden
4. Professor Gabriel Skantze, KTH Royal Institute of Technology, Sweden
5. Dr. Marta Romeo, Heriot Watt University, United Kingdom
6. Joel E Fischer, University of Nottingham, United Kingdom
7. Gisela Reyes-Cruz, University of Nottingham, United Kingdom