Human-AI Interaction
Our current research includes developing new approaches to co-design in which artificial intelligence (AI) and machine learning (ML) are key design materials, and which highlight the domain expertise of participants who are not ML experts. Alongside this we are developing new approaches to collaborative interactive machine teaching that reflect where scientific subject matter expertise e.g., medical specialists can augment lived experience in developing personalized ML models.
Example papers:
- Graham Dove and Anne-Laure Fayard. “Monsters, metaphors, and machine learning.” In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-17. 2020.
- Graham Dove, Kim Halskov, Jodi Forlizzi, and John Zimmerman. “UX design innovation: Challenges for working with machine learning as a design material.” In Proceedings of the 2017 chi conference on human factors in computing systems, pp. 278-288. 2017.
Healthcare and Self-Care
Our current research includes design for the future of multiple sclerosis (MS) care, including new approaches to self-tracking and personal health informatics to improve how symptoms that might be caused by changes in disease progression can be distinguished from symptoms that are caused by temporary factors, such as heat; and how this understanding can lead to personalized care and improved mitigation strategies. Alongside this, we are developing new co-design methods to investigate how digital technologies might support self-care and communication for people living with chronic pain.
Example papers:
- Roya Rad and Graham Dove. “Making/Unmaking with Metaphors: Generative Co-design with People Living with Chronic Pain.” In Companion Publication of the 2025 ACM Designing Interactive Systems Conference, pp. 345-350. 2025.
- Graham Dove, Marina Roos Guthmann, Leigh Charvet, Oded Nov, and Giuseppina Pilloni. ” Data is one thing, but I want to know the story behind”: designing for self-tracking and remote patient monitoring in the context of multiple sclerosis care.” In Proceedings of the 2024 ACM Designing Interactive Systems Conference, pp. 597-618. 2024.
- Ayanna Seals, Giuseppina Pilloni, Jin Kim, Raul Sanchez, John-Ross Rizzo, Leigh Charvet, Oded Nov, and Graham Dove. “‘Are they doing better in the clinic or at home?’: understanding clinicians’ needs when visualizing wearable sensor data used in remote gait assessments for people with multiple sclerosis.” In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pp. 1-16. 2022.
Public Interest Technology and Digital Civics
Our current research focuses on the role of digital technologies in mitigating environmental and quality of life concerns, including the use of environmental sensors to monitor the impacts of long-term construction on local communities, and how municipal agencies and the 311 systems used for reporting non-emergency concerns may fail to adequately respond when people face more complex issues. Alongside this we are also working with open data and public interest technology organizations to investigate support for data literacy and informal learning, including community mapping.
Example papers:
- Graham Dove, and Eric Corbett. “Design for Civic Quality of Life Things.” In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp. 1-13. 2025.
- Graham Dove, Jack Shanley, Camillia Matuk, and Oded Nov. “Open data intermediaries: Motivations, barriers and facilitators to engagement.” Proceedings of the ACM on Human-Computer Interaction 7, no. CSCW1 (2023): 1-22.
- Graham Dove, Shiyu Chen, Daniel Fries, Vanessa Johnson, Charlie Mydlarz, Juan Pablo Bello, and Oded Nov. “From environmental monitoring to mitigation action: considerations, challenges, and opportunities for HCI.” Proceedings of the ACM on Human-Computer Interaction 6, no. CSCW2 (2022): 1-31.