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Pourang Irani(He, Him, His)
Computer ScienceOther Titles: Principal’s Research Chair in Ubiquitous Analytics
Office: FIP 304
Human-computer interaction; information visualization; ubiquitous interfaces; visual analytics; immersive technologies; persuasive health; input devices.
Courses & Teaching
Human-computer interaction; research methodologies; user interface design; visual analytics; ubiquitous computing; immersive technologies.
I am a Professor in the Department of Computer Science at the University of British Columbia (Okanagan campus) and Principal’s Research Chair in Ubiquitous Analytics. I earned my Ph.D. in Computer Science from the University of New Brunswick in 2002 under the supervision of Dr. Colin Ware. I started my career at the University of Manitoba (UofM) and served there for 19 years as a faculty member in Computer Science and as Acting Associate Dean for the Faculty of Science before moving to UBCO in January 2022. My research lies broadly in the areas of Human-Computer Interaction and Information Visualization. More specifically, our team is concentrating on designing and studying novel interactive systems for sensemaking “anywhere” and “anytime”. For advancing this work we rely on mixed reality (MR) and wearable technologies for developing novel prototypes of visual interfaces and devices. I am also the Principal Investigator on an NSERC CREATE grant on Visual and Automated Disease Analytics. The aim of the VADA program is to train the next generation data scientists with a focus on health data analytics.
Research Interests & Projects
- Visual & Ubiquitous Analytics
- Mobile User Interfaces
- Augmented/Virtual/Mixed Reality Interaction
- Pervasive Health
- Information Visualization
- Input Devices
Selected Publications & Presentations
Bradley Rey, Kening Zhu, Simon Tangi Perrault, Sandra Bardot, Ali Neshati, and Pourang Irani. 2022. Understanding and Adapting Bezel-to-Bezel Interactions for Circular Smartwatches in Mobile and Encumbered Scenarios. Proceedings of the ACM on Human-Computer Interaction, 6(MHCI), 1-28.
Sandra Bardot, Bradley Rey, Lucas Audette, Kevin Fan, Da-Yuan Huang, Jun Li, Wei Li, Pourang Irani: One Ring to Rule Them All: An Empirical Understanding of Day-to-Day Smartring Usage Through In-Situ Diary Study. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 100:1-100:20 (2022)
Yumiko Sakamoto, Samar Sallam, Aaron Salo, Jason Leboe-McGowan, Pourang Irani:
Persuasive Data Storytelling with a Data Video during Covid-19 Infodemic: Affective Pathway to Influence the Users’ Perception about Contact Tracing Apps in less than 6 Minutes. PacificVis 2022: 176-180
Anuradha Herath, Bradley Rey, Sandra Bardot, Sawyer Rempel, Lucas Audette, Huizhe Zheng, Jun Li, Kevin Fan, Da-Yuan Huang, Wei Li, Pourang Irani:
Expanding Touch Interaction Capabilities for Smart-rings: An Exploration of Continual Slide and Microroll Gestures. CHI Extended Abstracts 2022: 292:1-292:7
Samar Sallam, Yumiko Sakamoto, Jason Leboe-McGowan, Celine Latulipe, Pourang Irani: Towards Design Guidelines for Effective Health-Related Data Videos: An Empirical Investigation of Affect, Personality, and Video Content. CHI 2022: 342:1-342:22
Marcos Serrano, Jolee Finch, Pourang Irani, Andrés Lucero, and Anne Roudaut. 2022. Mold-It: Understanding how Physical Shapes affect Interaction with Handheld Freeform Devices. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 402, 1–14.
Marcos Serrano, Jolee Finch, Pourang Irani, Andrés Lucero, Anne Roudaut: Mold-It: Understanding how Physical Shapes affect Interaction with Handheld Freeform Devices. CHI 2022: 402:1-402:14
Marcos Serrano, Andrés Lucero, Pourang Irani, Anne Roudaut: Stranger Screens: Exploring the Application Themes for Interactive Freeform Devices. CHI Extended Abstracts 2022: 447:1-447:5
Ali Neshati, Fouad Shoie Alallah, Bradley Rey, Yumiko Sakamoto, Marcos Serrano, Pourang Irani: SF-LG: Space-Filling Line Graphs for Visualizing Interrelated Time-series Data on Smartwatches. MobileHCI 2021: 5:1-5:13
Monteiro, D., Liang, H. N., Tang, X., & Irani, P. (2021, October). Using trajectory compression rate to predict changes in cybersickness in virtual reality games. In 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 138-146). IEEE.