Faculty of Information professors and students will have a strong presence at the 2024 ACM Conference on Human Factors in Computing Systems (CHI), the premier international conference of Human-Computer Interaction. CHI 2024 is taking place in Honolulu, Hawaii from May 11 to 16 bringing together researchers, practitioners and industry leaders to showcase some of the latest research in human-computer interaction.
For more details, see the 2024 conference program, which is regularly updated with newly activated links.
The neames of Faculty of Information participants are bolded.
Honorable Mention Awards
- Migrant Farmworkers’ Experiences of Agricultural Technologies: Implications for Worker Sociality and Desired Change, by Olivia Doggett, Matt Ratto & Priyank Chandra
- Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination by Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P Czerwinski, Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams
Papers
- Networks of care in digital domestic labour economies, by Adrian Petterson, Isabella Jaimes Rodriguez, Olivia Doggett, & Priyank Chandra
- Writing out the Storm: Designing and Evaluating Tools for Weather Risk Messaging, by Sophia S Jit, Jennifer Spinney, Priyank Chandra, Lydia B Chilton, Robert Soden
- “This is not a data problem”: Algorithms and Power in Public Higher Education in Canada, by Kelly McConvey & Shion Guha
- Towards a Non-Ideal Methodological Framework for Responsible ML, by Ramaravind Kommiya Mothilal, Shion Guha, Syed Ishtiaque Ahmed
- The “Colonial Impulse” of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases, by Dipto Das, Shion Guha, Jed R. Brubaker, Bryan Semaan
- “Charting the COVID Long Haul Experience – A Longitudinal Exploration of Symptoms, Activity, and Clinical Adherence”, by Jessica Pater, Shaan Chopra, Jeanne Carroll, Juliette Zaccour, Taha Liaqat, Fayika Farhat Nova, Tammy Toscos, Shion Guha, Fen Lei Chang
- Are We Asking the Right Questions?: Designing for Community Stakeholders’ Interactions with AI in Policing, by Md Romael Haque, Devansh Saxena, Katy Weathington, Joseph Chudzik, Shion Guha
- A Human-Centered Review of Algorithms in Homelessness Research, by Erina Seh-Young Moon, Shion Guha
- ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models, by Mohi Reza, Nathan M Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan “Michael” Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams
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Politics of the Past: Understanding the Role of Memory, Postmemory, and Remembrance in Navigating the History of Migrant Families, by Nabila Chowdhury, Natasha Shokri, Cibeles Herrera Valera, Azhagu Meena Sp, Carolina Reyes Marquez, Mohammad Rashidujjaman, Marisol Wong-Villacres, Cosmin Munteanu, Negin Dahya, Syed Ishtiaque Ahmed
Late-breaking work
- Chart What I Say: Exploring Cross-Modality Prompt Alignment in AI-Assisted Chart Authoring by Nazar Ponochevnyi, Anastasia Kuzminykh
Workshops
- CUI@CHI 2024: Building Trust in CUIs—From Design to Deployment by Smit Desai, Christina Ziying Wei, Jaisie Sin, Mateusz Dubiel, Nima Zargham, Shashank Ahire, Martin Porcheron, Anastasia Kuzminykh, Minha Lee, Heloisa Candello, Joel E Fischer, Cosmin Munteanu, Benjamin R. Cowan
Workshop papers
- Ratto, M., Gram, S., Doggett, O., Selby, P., Maslej, M., Minian, N., Melamed, O., Rose, J. (2024) Posthumanist AI: Rethinking ‘the human’ as a model for generative AI, Generative AI and HCI workshop, 2024 ACM SIGCHI Conference on Computer-Human Interaction (CHI), Hawaii, USA, 2024
- Ferguson, S., Akemi Aoyagui, P., Rizvi, R., Kim, Y., Kuzminykh, A. “Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making”. TREW 2024 (Trust and Reliance in Evolving Human-AI Workflows) at CHI’24
- Akemi Aoyagui, P., Ferguson, S., Kuzminykh, A. “Exploring Subjectivity for more Human-Centric Assessment of Biases in Large Language Models”. HEAL 2024 (Human-centered Evaluation and Auditing of Language Models) at CHI’24
