Inclusive Design Practices
Towards Equitable Community-Industry Collaborations: Understanding the Experiences of Nonprofits' Collaborations with Tech Companies
Erete, Sheena, Eric Corbett, Natasha Smith-Walker, Jay L Cunningham, Erin Gatz, Tina Park, Tam Perry, Lauren Wilcox, and Remi Denton
Proceedings of the ACM on Human-Computer Interaction, 9(2)
Investigates the power dynamics and structural inequities that nonprofits experience when partnering with technology companies, offering a framework for more equitable community-industry collaboration models.
Power and Public Participation in AI
Corbett, Eric, Remi Denton, and Sheena Erete
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
Analyzes how power structures shape who gets to participate in AI governance and development, advocating for participatory approaches that center marginalized communities in algorithmic decision-making.
Engaging Gentrification as a Social Justice Issue in HCI
Corbett, Eric and Yanni Loukissas
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Argues that gentrification should be treated as a first-class social justice concern in HCI research, using data visualization and participatory methods to surface how displacement affects community data narratives.
The Problem of Community Engagement: Disentangling the Practices of Municipal Government
Corbett, Eric and Christopher A. Le Dantec
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Unpacks the complex and often contradictory practices of community engagement within municipal government, revealing how institutional structures and competing priorities shape the design of public participation systems.
Going the Distance: Trust Work for Citizen Participation
Corbett, Eric and Christopher A. Le Dantec
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Introduces the concept of "trust work" to describe the relational labor that civic technologists and government workers perform to build and maintain citizen trust in participatory digital systems.
What Can I Say? Addressing User Experience Challenges of a Mobile Voice User Interface for Accessibility
Corbett, Eric and Astrid Weber
Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services
Identifies key user experience challenges in mobile voice interfaces for users with accessibility needs, offering design recommendations to improve discoverability, learnability, and error recovery in voice-driven interactions.
Human-Centered AI
How Tech Workers Contend with Hazards of Humanlikeness in Generative AI
Díaz, Mark, Renee Shelby, Eric Corbett, and Andrew Smart
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Examines how tech workers navigate the risks and ethical tensions that arise when generative AI systems exhibit human-like qualities, surfacing design and organizational implications for responsible AI development.
We Are AI: Taking Control of Technology
Stoyanovich, Julia, Armanda Lewis, Eric Corbett, Lucius EJ Bynum, Lucas Rosenblatt, and Falaah Arif Khan
Proceedings of the AAAI Conference on Artificial Intelligence, 39(28)
Presents a public education initiative designed to help non-expert communities understand and critically engage with AI systems, emphasizing agency, literacy, and collective empowerment over technological determinism.
Interrogating the T in FAccT
Corbett, Eric and Remi Denton
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency
Critically interrogates the concept of transparency within AI fairness discourse, arguing that transparency is often treated as a technical fix while obscuring deeper questions of power, accountability, and justice.
Racial Segregation and Data-Driven Society
Richardson, Rashida and Eric Corbett
Interactions, 29(3)
Examines how data-driven systems and smart city technologies can reinforce and perpetuate racial segregation, connecting historical patterns of urban inequality to contemporary algorithmic governance.
Interactive Machine Learning Heuristics
Corbett, Eric, Nathaniel Saul, and Meg Pirrung
Machine Learning from User Interaction for Visualization and Analytics Workshop at IEEE VIS
Proposes a set of heuristics for evaluating interactive machine learning systems, bridging usability principles from HCI with the unique challenges of human-in-the-loop ML workflows in visual analytics.
Civic Technology
Design for Civic Quality of Life Things
Dove, Graham and Eric Corbett
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Proposes a design framework centered on civic quality of life, exploring how everyday objects and systems can be designed to support community wellbeing and public values in urban contexts.
Signs of the Smart City: Exploring the Limits and Opportunities of Transparency
Corbett, Eric and Graham Dove
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Critically examines transparency as a design value in smart city systems, arguing that signage and disclosure mechanisms have both communicative potential and structural limits in building public trust.
Thinking Cities
Corbett, Eric, Daniela Rosner, Alex Taylor, and Mikael Wiberg
Interactions, 29(3)
A provocation piece exploring what it means for cities to "think" through data and computation, questioning the assumptions embedded in smart city rhetoric and calling for more critical, humanistic urban design.
Designing Civic Technology with Trust
Corbett, Eric and Christopher Le Dantec
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Presents a trust-centered design approach for civic technology, drawing on participatory fieldwork with municipal governments to articulate how trust can be operationalized as a design material in public-facing systems.
Trust, Distance, and Design
Corbett, Eric
PhD Dissertation, Georgia Institute of Technology
Doctoral dissertation examining how trust operates as a relational and spatial phenomenon in civic technology design, developing a framework for understanding how distance — social, institutional, and physical — shapes citizen-government interactions.
Towards a Design Framework for Trust in Digital Civics
Corbett, Eric and Christopher Le Dantec
Proceedings of the 2019 Designing Interactive Systems Conference
Proposes an early-stage design framework for building trust in digital civic systems, synthesizing empirical findings from community engagement research into actionable principles for HCI practitioners.
'Removing Barriers' and 'Creating Distance': Exploring the Logics of Efficiency and Trust in Civic Technology
Corbett, Eric and Christopher Le Dantec
Media and Communication, 7(3), 104-113
Analyzes the competing logics of efficiency and trust in civic technology design, showing how efficiency-driven design choices can inadvertently create social distance between governments and the communities they serve.
Exploring Trust in Digital Civics
Corbett, Eric and Christopher A. Le Dantec
Proceedings of the 2018 Designing Interactive Systems Conference
An early empirical exploration of how trust functions in digital civic contexts, drawing on interviews and observations with city government staff to identify key dimensions of trust in public technology design.