Accepted Workshops

Workshop: Affective Computing for Mobile Technologies

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Short Description:
Mobile technologies have become integral to daily life, and understanding users' emotional states during interactions is crucial for enhancing user experience. However, the integration of affective perception, behavior analysis, and affective computing for mobile technologies presents multifaceted challenges, ranging from technological limitations to ethical considerations. This workshop proposes a collaborative exploration of cutting-edge solutions for affective computing for mobile technologies. We aim to bring together experts to explore topics such as: user behavior analytics, user experience design, affective computing applications, cultural and contextual considerations, and the ethical implementation of affective computing. This workshop aims to bring together researchers and practitioners from both academia and industry to identify and explore: 1) innovative solutions, 2) novel applications, and 3) key challenges in this area to drive research in the coming decade. The long-term goal is to create a strong interdisciplinary research community that includes researchers and practitioners from HCI, HRI, Ubiquitous Computing, Cognitive Psychology, Mobile Technology, Interaction Techniques, User Privacy, and Design. We envision ongoing research collaborations and the acceleration of innovations in affective computing for mobile technologies.

Workshop: mobiCHAI - 1st International Workshop on Mobile Cognition-Altering Technologies (CAT) using Human-Centered AI

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Short Description:
The quest for enhanced cognition has been a driving force behind human advancement, fostering innovation and personal fulfillment. Cognition Altering Technologies (CAT) holds immense promise in elevating the quality of life across diverse domains including education, decision-making, healthcare, and fitness. The current proliferation of Artificial Intelligence (AI), particularly the widespread adoption of Generative AI and foundational models, presents an unprecedented opportunity to prototype new CAT that can augment human capabilities. This workshop aims to unite interdisciplinary research communities to explore the potential of leveraging GenAI and human-centered AI to develop relevant CAT. Taking place at MobileHCI 2024, this one-day workshop invites researchers, practitioners, and designers from fields such as artificial intelligence, ubiquitous computing, human-computer interaction, and social sciences to collaborate and chart the future of cognitive enhancement through technology.

Workshop: Designing Age-Inclusive Interfaces: Emerging Mobile, Conversational, and Generative AI to Support Interactions across the Life Span

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Short Description:
We are concurrently witnessing two significant shifts: voice and chat-based conversational user interfaces (CUIs) are becoming ubiquitous (especially more recently due to advances in generative AI and LLMs - large language models), and older people are becoming a very large demographic group (and increasingly adopting of mobile technology on which such interfaces are present). However, despite the recent increase in research activity, age-relevant and inter/cross-generational aspects continue to be underrepresented in both research and commercial product design. Therefore, the overarching aim of this workshop is to increase the momentum for research within the space of hands-free, mobile, and conversational interfaces that centers on age-relevant and inter- and cross-generational interaction. For this, we plan to create an interdisciplinary space that brings together researchers, designers, practitioners, and users, to discuss and share challenges, principles, and strategies for designing such interfaces across the life span. We thus welcome contributions of empirical studies, theories, design, and evaluation of hands-free, mobile, and conversational interfaces designed with aging in mind (e.g. older adults or inter/cross-generational). We particularly encourage contributions focused on leveraging recent advances in generative AI or LLMs. Through this, we aim to grow the community of CUI researchers across disciplinary boundaries (human-computer interaction, voice and language technologies, geronto-technologies, information studies, etc.) that are engaged in the shared goal of ensuring that the aging dimension is appropriately incorporated in mobile / conversational interaction design research.

Andreas' photo

Andreas Komninos
University of Patras, Greece

Joanna's photo

Joanna Bergström
University of Copenhagen, Denmark

Allison's photo

Allison Jing
RMIT University, Australia