Using Multi-Level Precueing to Improve Performance in Path-Following Tasks in Virtual Reality

被引:18
作者
Liu, Jen-Shuo [1 ]
Elvezio, Carmine [1 ]
Tversky, Barbara [2 ]
Feiner, Steven [1 ]
机构
[1] Columbia Univ, Dept Comp Sci, New York, NY 10027 USA
[2] Columbia Univ, Teachers Coll, Dept Human Dev, New York, NY USA
基金
美国国家科学基金会;
关键词
Visualization; Task analysis; Performance evaluation; Games; Virtual environments; Feedforward systems; Computer science; Virtual reality; path following; visual cues; task precueing; remote VR user study; CAPACITY; DISPLAY; OBJECTS; MEMORY;
D O I
10.1109/TVCG.2021.3106476
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Work on VR and AR task interaction and visualization paradigms has typically focused on providing information about the current step (a cue) immediately before or during its performance. Some research has also shown benefits to simultaneously providing information about the next step (a precue). We explore whether it would be possible to improve efficiency by precueing information about multiple upcoming steps before completing the current step. To accomplish this, we developed a remote VR user study comparing task completion time and subjective metrics for different levels and styles of precueing in a path-following task. Our visualizations vary the precueing level (number of steps precued in advance) and style (whether the path to a target is communicated through a line to the target, and whether the place of a target is communicated through graphics at the target). Participants in our study performed best when given two to three precues for visualizations using lines to show the path to targets. However, performance degraded when four precues were used. On the other hand, participants performed best with only one precue for visualizations without lines, showing only the places of targets, and performance degraded when a second precue was given. In addition, participants performed better using visualizations with lines than ones without lines.
引用
收藏
页码:4311 / 4320
页数:10
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