Courier / Mailing Address
Department of Computer Science
40 St. George St. STE 7224
Toronto, ON, M5S 2E4
t. +1 (416) 978-6025 (for couriers)
t. +1 (416) 978-7777
daniel@dgp.toronto.edu
Office
Room BA5260,
40 St. George St.
Lab
I am an associate professor and the NSERC/Facebook Industrial Research Chair of Human-Machine Interaction at the University of Toronto. My general area of research is the leveraging of computing technology to enable users to live better lives. This work includes the development of user interface software, interaction methods, sensor hardware, new device form factors, development platforms, and operating system architectures. Talks about my work in may be found online: haptics & high performance UX, post-WIMP user interfaces, and the symphony of devices.
RECENT PUBLICATIONS
(see Research for a list of all publications).
The Government’s Dividend: Complex Perceptions of Social Media Misinformation in China
Zhicong Lu, Yue Jiang, Cheng Lu, Mor Naaman, and Daniel Wigdor. 2020. The Government’s Dividend: Complex Perceptions of Social Media Misinformation in China. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–12.
Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR
Rorik Henrikson, Tovi Grossman, Sean Trowbridge, Daniel Wigdor, and Hrvoje Benko. 2020. Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–14.
Plane, Ray, and Point: Enabling Precise Spatial Manipulations with Shape Constraints
Devamardeep Hayatpur, Seongkook Heo, Haijun Xia, Wolfgang Stuerzlinger, Daniel Wigdor. 2019. Plane, Ray, and Point: Interaction Methods for ad hoc Creation of Alignment and Manipulation Constraints in VR. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST ’19). ACM, New York, NY, USA.
Learning Cooperative Personalized Policies from Gaze Data
Christoph Gebhardt, Brian Hecox, Bas van Opheusden, Daniel Wigdor, James Hillis, Otmar Hilliges, and Hrvoje Benko. 2019. Learning Cooperative Personalized Policies from Gaze Data. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST ’19). Association for Computing Machinery, New York, NY, USA, 197–208.
PseudoBend: Producing Haptic Illusions of Stretching, Bending, and Twisting Using Grain Vibrations
Seongkook Heo, Jaeyeon Lee, and Daniel Wigdor. 2019. PseudoBend: Producing Haptic Illusions of Stretching, Bending, and Twisting Using Grain Vibrations. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST ’19). Association for Computing Machinery, New York, NY, USA, 803–813.
Vicariously Experiencing it all Without Going Outside: A Study of Outdoor Live Streaming in China
Zhicong Lu, Michelle Annett, Daniel Wigdor. 2019. Vicariously Experiencing it all Without Going Outside: A Study of Outdoor Livestreaming in China. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 25 (November 2019), 28 pages. Presented at ACM CSCW 2019.
Exploring and Understanding the Role of Workshop Environments in Personal Fabrication Processes
Michelle Annett, Tovi Grossman, Daniel Wigdor, George Fitzmaurice. 2019. Exploring and Understanding the Role of Workshop Environments in Personal Fabrication Processes. ACM Trans. Comput.-Hum. Interact. 26, 2, Article 10 (March 2019), 43 pages.
“I feel it is my responsibility to stream”: Streaming and Engaging with Intangible Cultural Heritage through Livestreaming
Zhicong Lu, Michelle Annett, Mingming Fan, Daniel Wigdor. 2019. “I feel it is my responsibility to stream”: Streaming and Engaging with Intangible Cultural Heritage through Livestreaming. Conditionally accepted for Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, USA.
A Lie Reveals the Truth: Quasimodes for Task-Aligned Data Presentation
Jacob Ritchie, Daniel Wigdor, Fanny Chevalier. 2019. A Lie Reveals the Truth: Quasimodes for Task-Aligned Data Presentation. Conditionally accepted for Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, USA.
HoloDoc: Enabling Mixed Reality Workspaces that Harness Physical and Digital Content
Zhen Li, Michelle Annett, Ken Hinckley, Karan Singh, Daniel Wigdor. 2019. HoloDoc: Enabling Mixed Reality Workspaces that Harness Physical and Digital Content. Conditionally accepted for Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, USA.
My SUI Keynote is online
Haijun Xia headed to UCSD
Jacob Ritchie, Seongkook Heo headed out
Chatham Labs Launched!
CSC2604 Fall 2018 Materials
CONTACT & DIRECTIONS
My office is # 5260, on the 5th floor of the Bahen Centre for Information Technology (BCIT), 40 St. George St, on the downtown (St. George) campus of the University of Toronto. To reach the BCIT:
Public Transit
Take the subway to the Queen’s Park station. Walk west along the north side of College St. Turn right (north) at St. George. Enter the BCIT building, the 2nd door (newer building) on the west side of the street. Take the elevator to the 5th floor.
Driving
Drive to College St., turn north onto Huron (1 block west of St. George, 1 block east of Spadina). Enter the BCIT parking garage and take the elevator to the ground floor. Turn left to enter the lobby, and take the elevator to the 5th floor.
