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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.
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Every “Body” Gets a Say: An Augmented Optimization Metric to Preserve Body Pose During Avatar Adaptation in Mixed/Augmented Reality
- Award ID(s):
- 2225890
- PAR ID:
- 10603537
- Publisher / Repository:
- Institute of Electrical and Electronics Engineers
- Date Published:
- Journal Name:
- IEEE Transactions on Visualization and Computer Graphics
- Volume:
- 31
- Issue:
- 7
- ISSN:
- 1077-2626
- Format(s):
- Medium: X Size: p. 3897-3912
- Size(s):
- p. 3897-3912
- Sponsoring Org:
- National Science Foundation
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