TY - GEN
T1 - Distractor effects on crossing-based interaction
AU - Tu, Huawei
AU - Huang, Jin
AU - Liang, Hai Ning
AU - Skarbez, Richard
AU - Tian, Feng
AU - Been-Lirn Duh, Henry
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (No. 61802379, 61602236), Youth Innovation Promotion Association CAS, and Xi’an Jiaotong-Liverpool University (XJTLU) Key Special Fund (No. KSF-A-03).
Publisher Copyright:
© 2021 ACM.
PY - 2021/5/6
Y1 - 2021/5/6
N2 - Task-irrelevant distractors affect visuo-motor control for target acquisition and studying such effects has already received much attention in human-computer interaction. However, there has been little research into distractor effects on crossing-based interaction. We thus conducted an empirical study on pen-based interfaces to investigate six crossing tasks with distractor interference in comparison to two tasks without it. The six distractor-related tasks differed in movement precision constraint (directional/amplitude), target size, target distance, distractor location and target-distractor spacing.We also developed and experimentally validated six quantitative models for the six tasks. Our results showthat crossing targets with distractors had longer average times and similar accuracy than that without distractors. The effects of distractors varied depending on distractor location, target-distractor spacing and movement precision constraint. When spacing is smaller than 11.27 mm, crossing tasks with distractor interference can be regarded as pointing tasks or a combination of pointing and crossing tasks, which could be better fitted with our proposed models than Fitts' law. According to these results, we provide practical implications to crossing-based user interface design.
AB - Task-irrelevant distractors affect visuo-motor control for target acquisition and studying such effects has already received much attention in human-computer interaction. However, there has been little research into distractor effects on crossing-based interaction. We thus conducted an empirical study on pen-based interfaces to investigate six crossing tasks with distractor interference in comparison to two tasks without it. The six distractor-related tasks differed in movement precision constraint (directional/amplitude), target size, target distance, distractor location and target-distractor spacing.We also developed and experimentally validated six quantitative models for the six tasks. Our results showthat crossing targets with distractors had longer average times and similar accuracy than that without distractors. The effects of distractors varied depending on distractor location, target-distractor spacing and movement precision constraint. When spacing is smaller than 11.27 mm, crossing tasks with distractor interference can be regarded as pointing tasks or a combination of pointing and crossing tasks, which could be better fitted with our proposed models than Fitts' law. According to these results, we provide practical implications to crossing-based user interface design.
KW - Crossing
KW - Distractor effects
KW - Fitts' law
KW - Models
KW - Pointing
UR - http://www.scopus.com/inward/record.url?scp=85123559323&partnerID=8YFLogxK
U2 - 10.1145/3411764.3445340
DO - 10.1145/3411764.3445340
M3 - Conference article published in proceeding or book
AN - SCOPUS:85123559323
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 10th International Conference on Materials Processing and Characterisation, ICMPC 2020
Y2 - 21 February 2020 through 23 February 2020
ER -