W5: Science-based methodologies for designing and using human-centered AI in HCI settings

Aim of the Workshop

The aim of the workshop is to examine methodologies to effectively design and use HCAI, to gain insights into the evolution of HCI approaches, and to support the sustained development of HCAI.

Human-Centered AI (HCAI) has increasingly become a shared aspiration in academia and industry. In view of fast-developing AI, HCAI aims to guide AI to augment, amplify, empower, and enhance humans. To achieve this goal, theoretical frameworks, design metaphors, and governance structures for HCAI have been proposed (Shneiderman, 2022), while collaborative efforts such as tutorials, workshops and joint papers have been initiated during the HCI International Conference in previous years. Despite the growing attention and enriching body of work in HCAI, there remains a need for science-based methodologies to ensure the effective design and use of HCAI.

AI may be reshaping the Human-Computer Interaction (HCI) research paradigms. Researchers now face the challenge of exploring how to make full use of AI in HCI approaches such as user-centered design (UCD) and participatory design. Regarding UCD in the context of AI, methodological framework, core AI concepts, tools, and roadmaps were proposed (Margetis, Ntoa, Antona, & Stephanidis, 2021). Key questions need to be further addressed, such as how to include humans in the loop of AI, how to apply experimental findings to AI algorithms, how to bridge small experimental data and big data, and how to avoid HCI research findings outdated when AI-empowered technology iterates fast. HCI approaches need to evolve in the era of AI, embracing incremental changes or even transformative shifts.

Notably, when examining AI practices in companies, few generative AI systems prioritize human testing (Weidinger et al., 2023) and there is limited research-based understanding of how to implement new AI-related requirements and principles in the design and development of AI (Hartikainen et al., 2022). A systematic perspective on HCAI methodology remains underdeveloped, particularly in integrating human testing with AI-driven computational testing to leverage the strengths of both. Furthermore, the approaches to / methods of verification, validation, and certification of HCAI are still inadequately defined (Garibay, et al., 2023). Thus, it is necessary to integrate HCAI goals into human testing methodology to evaluate how well AI meets human needs, focusing not only on individual wellbeing but also on its broader positive social impact.

Workshop topics

Both conceptual and methodological aspects of HCAI will be covered. The conceptual, among others, will include some of the following. The methodological part will be germinated during the workshop.

• Explainable AI
• Responsible AI
• Interactive machine learning
• UX design for AI
• AI Governance
• Semantic, cognitive, and perceptual computing
• Adaptive interaction design
• Collaborative AI
• Human-AI teaming
• UCD for AI
• Human-in-the-loop
• Society-in-the-loop

Guidelines to prospective authors

Prospective authors should submit their proposals in PDF format through the HCII Conference Management System (CMS). Authors are required to submit either a full manuscript or an extended 800-word abstract via CMS for the peer review process. Authors of selected accepted submissions will deliver presentations during the workshop.

Submission for the Conference Proceedings

The contributions to be presented in the context of Workshops will not be automatically included in the Conference proceedings.

However, after consultation with the Workshop organizer(s), authors of accepted Workshop proposals who are registered for the Conference are welcome to submit, through the Conference Management System (CMS), an extended version of their Workshop contribution to be considered, following further peer review, for presentation at the Conference and inclusion in the “Late Breaking” volumes of the Conference proceedings, either in the LNCS as a long paper (typically 12 pages, but no less than 10 and no more than 20 pages), or in the CCIS as a short paper/extended poster abstract (typically 6 pages, but no less than 4 and no more than 11).

Workshop organizers

Gavriel Salvendy
https://www.iems.ucf.edu/salvendy/

Gavriel Salvendy is a member of the National Academy of Engineering and a distinguished professor at the University of Center Florida. He is the founding editor of the International Journal of Human Computer Interaction and the founder of the HCII conferences.

Jia Zhou
https://scholar.google.com/citations?user=lfbYV5gAAAAJ&hl=en

Jia Zhou is a Professor at Chongqing University. She is the co-chair of the International Conference on Human Aspects of IT for the Aged Population (ITAP), associate editor of Behaviour & Information Technology, editorial board members of International Journal of Human-Computer Interaction, Universal Access in the Information Society, and Theoretical Issues in Ergonomics Science.