The Magic of Slow-to-Fast and Constant: Evaluating Time Perception of Progress Bars by Bayesian Model
Qihan Wang, Xinyue Kang, Pei-Luen Patrick Rau

TL;DR
This study uses a Bayesian psychophysical model to quantitatively assess how users perceive different progress bar speeds, revealing that constant and speed-up progress bars are perceived as faster, which can inform UX design.
Contribution
The paper introduces an adaptive Bayesian method to measure perceived time of progress bars with non-uniform speeds, providing new insights into user perception.
Findings
Constant and speed-up progress bars are perceived as faster.
Perception is influenced by the final part of the progress bar.
Cognitive overload slows perceived progress.
Abstract
Objective: We aimed to use adaptive psychophysics methods, which is a Bayesian Model, to measure users' time perception of various progress bar quantitatively. Background: Progress bar informs users about the status of ongoing processes. Progress bars frequently display nonuniform speed patterns, such as acceleration and deceleration. However, which progress bar is perceived faster remain unclear. Methods: We measured the point of subject equality (PSE) of the constant progress bar toward four different 5-second progress bars with a non-constant speed. To measure PSE, in each trial, a constant progress bar and a non-constant progress bar were presented to participants. Participants needed to judge which one is shorter. Based on their choice, the model generated the time duration of constant progress bar in next trial. After 40 trials for each non-constant progress bar, the PSE was…
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Taxonomy
TopicsPersonal Information Management and User Behavior
