At Data & Dialogue Lab we study

At the Data & Dialogue Lab in the School of Interactive Arts and Technology at Simon Fraser University, we investigate the intersection of thinking with data, human–computer interaction, and social psychology. We believe that most current for-profit AI systems are designed with a lack of understanding of how humans think. Our research asks: how do people think with data in light of their existing beliefs? When presented with new information, do they update their views, reinterpret them, or resist change? We design interactive forms of visual storytelling and persuasive data communication that encourage critical and reflective thinking. A central focus of our work is on AI and human–AI interaction that challenge existiing AI orthodoxies through examining how people understand, misperceive, and often overestimate what AI systems can do.

Contact us if you are interested in joining our lab as a student or collaborator.


Highlights
Architecture in the Age of Human–Computer Interaction

Architecture in the Age of Human–Computer Interaction

bookRoutledge 2025
This book investigates the intersection of architecture and computer science, using ethnographic methods to explore how user interfaces can connect embodied architectural space with computational interaction modes and the social process of creating meaningful places.
Elicitation and Narratives in Data Visualization

Elicitation and Narratives in Data Visualization

paperTVCG 2024
The study tests how asking readers to sketch or categorize trends, and exposing them to contrasting stories, shapes engagement, recall, and attitude shifts in news articles with visualizations.
When do data visualizations persuade?

When do data visualizations persuade?

paperCHI 2023
In this paper we examine the impact of existing attitudes (e.g., positive or negative attitudes toward COVID-19 vaccination) on changes in beliefs about statistical correlations when viewing scatterplot visualizations with different representations of statistical uncertainty.
Images, Emotions, and Credibility

Images, Emotions, and Credibility

paperICWSM 2023
In this paper, we ask: Do people a source that publishes images with negative emotions as less credible as one that is more balanced?
Social Media and the Contemporary City

Social Media and the Contemporary City

bookRoutledge 2022
This book explores how social media data affects local communities and urban spaces across diverse political and economic settings, covering events from Banksy installations to Black Lives Matter protests using both computational and ethnographic methodologies.
Belief change in light of incongruent information

Belief change in light of incongruent information

paperTVCG 2020
In this paper, using a novel belief elicitation technique, we ask do people update their belief like a rational agent would?
Urban Space Explorer: A Visual Analytics System for Urban Planning

Urban Space Explorer: A Visual Analytics System for Urban Planning

paperCG&A 2017
In this paper we describe an interactive visual analytics system that helps Urban Planners think with social media data!