Dynamics of eye-hand coordination are flexibly preserved in eye-cursor coordination during an online, digital, object interaction task

要旨

Do patterns of eye-hand coordination observed during real-world object interactions apply to digital, screen-based object interactions? We adapted a real-world object interaction task (physically transferring cups in sequence about a tabletop) into a two-dimensional screen-based task (dragging-and-dropping circles in sequence with a cursor). We collected gaze (with webcam eye-tracking) and cursor position data from 51 fully-remote, crowd-sourced participants who performed the task on their own computer. We applied real-world time-series data segmentation strategies to resolve the self-paced movement sequence into phases of object interaction and rigorously cleaned the webcam eye-tracking data. In this preliminary investigation, we found that: 1) real-world eye-hand coordination patterns persist and adapt in this digital context, and 2) remote, online, cursor-tracking and webcam eye-tracking are useful tools for capturing visuomotor behaviours during this ecologically-valid human-computer interaction task. We discuss how these findings might inform design principles and further investigations into natural behaviours that persist in digital environments.

著者
Jennifer K. Bertrand
University of Alberta, Edmonton, Alberta, Canada
Craig Chapman
University of Alberta, Edmonton, Alberta, Canada
論文URL

https://doi.org/10.1145/3544548.3580866

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Modalities

Hall F
5 件の発表
2023-04-25 01:35:00
2023-04-25 03:00:00