ACM ISS 2022
Sun 20 - Thu 24 November 2022 Wellington, New Zealand

Models of lassoing time to select multiple square icons exist, but realistic lasso tasks also typically involve encircling non-rectangular objects. Thus, it is unclear if we can apply existing models to such conditions where, e.g., the width of the path that users want to steer through changes dynamically or step-wise. In this work, we conducted two experiments where the objects were non-rectangular, with path widths that narrowed or widened, smoothly or step-wise. The results showed that the baseline models for pen-steering movements (the steering and crossing law models) fitted the timing data well, but also that segmenting width-changing areas led to significant improvements. Our work enables the modeling of novel UIs requiring continuous strokes, e.g., for grouping icons.

Mon 21 Nov

Displayed time zone: Auckland, Wellington change

13:30 - 15:00
Session 2: TouchPapers at Rutherford House Lecture Theatre 2
Chair(s): Hans Christian Jetter University of Lübeck
13:30
22m
Talk
Theoretically-Defined vs. User-Defined Squeeze Gestures
Papers
Santiago Villarreal-Narvaez Université catholique de Louvain, Arthur Sluÿters Université catholique de Louvain, Jean Vanderdonckt Université catholique de Louvain, Efrem MBAKI LUZAYISU University of Kinshasa
DOI Media Attached
13:52
22m
Talk
Predicting Touch Accuracy for Rectangular Targets by Using One-Dimensional Task Results
Papers
A: Hiroki Usuba Yahoo, A: Shota Yamanaka Yahoo, A: Junichi Sato Yahoo Japan Corporation, A: Homei Miyashita Meiji University
DOI Media Attached
14:15
22m
Talk
The Effectiveness of Path-Segmentation for Modeling Lasso Times in Width-Varying Paths
Papers
Shota Yamanaka Yahoo, Hiroki Usuba Yahoo, Wolfgang Stuerzlinger Simon Fraser University, Homei Miyashita Meiji University
DOI Media Attached
14:37
22m
Talk
Reducing the Latency of Touch Tracking on Ad-hoc Surfaces
Papers
Xu Fan , Robert Xiao University of British Columbia
DOI Media Attached