Reactive Video

Clarke, Christopher; Cavdir, Doga; Chiu, Patrick; Denoue, Laurent; Kimber, Don

doi:10.1145/3379337.3415591

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2024

Publication Types

Select...

Article2

Other2

Book1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 19 publications

References 51 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Training Support Method with Loudness Changes in Music

Wang,

Huang,

Jin

et al. 2024

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Training Support Method with Loudness Changes in Music

Wang,

Huang,

Jin

et al. 2024

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Visual Cue Based Corrective Feedback for Motor Skill Training in Mixed Reality: A Survey

Diller

Scheuermann²,

Wiebel

2024

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

When learning a motor skill it is helpful to get corrective feedback from an instructor. This will support the learner to execute the movement correctly. With modern technology, it is possible to provide this feedback via mixed reality. In most cases, this involves visual cues to help the user understand the corrective feedback. We analyzed recent research approaches utilizing visual cues for feedback in mixed reality. The scope of this paper is visual feedback for motor skill learning, which involves physical therapy, exercise, rehabilitation etc. While some of the surveyed literature discusses therapeutic effects of the training, this paper focuses on visualization techniques. We categorized the literature from a visualization standpoint, including visual cues, technology and characteristics of the feedback. This provided insights into how visual feedback in mixed reality is applied in the literature and how different aspects of the feedback are related. The insights obtained can help to better adjust future feedback systems to the target group and their needs. This paper also provides a deeper understanding of the characteristics of the visual cues in general and promotes future, more detailed research on this topic.

show abstract