Pointing is the task of tracking a target with a pointer and confirming the target selection through a click action when the pointer is positioned within the target. Little is known about the mechanism by which users plan and execute the click action in the middle of the target tracking process. The Intermittent Click Planning model proposed in this study describes the process by which users plan and execute optimal click actions, from which the model predicts the pointing error rates. In two studies in which users pointed to a stationary target and a moving target, the model proved to accurately predict the pointing error rates (R2 = 0.992 and 0.985, respectively). The model has also successfully identified differences in cognitive characteristics among first-person shooter game players.
|Title of host publication||CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems|
|Publisher||Association for Computing Machinery|
|Publication status||Published - 2020 Apr 21|
|Event||2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States|
Duration: 2020 Apr 25 → 2020 Apr 30
|Name||Conference on Human Factors in Computing Systems - Proceedings|
|Conference||2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020|
|Period||20/4/25 → 20/4/30|
Bibliographical noteFunding Information:
This research was funded by the National Research Foundation of Korea (2017R1C1B2002101) and the Korea Creative Content Agency (R2019020010).
© 2020 ACM.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Human-Computer Interaction