Cueing Sequential 6DoF Rigid-Body Transformations in Augmented Reality

被引:1
|
作者
Liu, Jen-Shuo [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
Human-centered computing; Human-centered computing (HCI); Interaction paradigms-Mixed/augmented reality; HCI design and evaluation methods; User studies; IMITATION;
D O I
10.1109/ISMAR59233.2023.00050
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Augmented reality (AR) has been used to guide users in multi-step tasks, providing information about the current step (cueing) or future steps (precueing). However, existing work exploring cueing and precueing a series of rigid-body transformations requiring rotation has only examined one-degree-of-freedom (DoF) rotations alone or in conjunction with 3DoF translations. In contrast, we address sequential tasks involving 3DoF rotations and 3DoF translations. We built a testbed to compare two types of visualizations for cueing and precueing steps. In each step, a user picks up an object, rotates it in 3D while translating it in 3D, and deposits it in a target 6DoF pose. Action-based visualizations show the actions needed to carry out a step and goal-based visualizations show the desired end state of a step. We conducted a user study to evaluate these visualizations and the efficacy of precueing. Participants performed better with goal-based visualizations than with action-based visualizations, and most effectively with goal-based visualizations aligned with the Euler axis. However, only a few of our participants benefited from precues, most likely because of the cognitive load of 3D rotations.
引用
收藏
页码:356 / 365
页数:10
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