How to Evaluate Object Selection and Manipulation in VR? Guidelines from 20 Years of Studies

要旨

The VR community has introduced many object selection and manipulation techniques during the past two decades. Typically, they are empirically studied to establish their benefits over the state-of-the-art. However, the literature contains few guidelines on how to conduct such studies; standards developed for evaluating 2D interaction often do not apply. This lack of guidelines makes it hard to compare techniques across studies, to report evaluations consistently, and therefore to accumulate or replicate findings. To build such guidelines, we review 20 years of studies on VR object selection and manipulation. Based on the review, we propose recommendations for designing studies and a checklist for reporting them. We also identify research directions for improving evaluation methods and offer ideas for how to make studies more ecologically valid and rigorous.

受賞
Best Paper
著者
Joanna Bergström
University of Copenhagen, Copenhagen, Denmark
Tor-Salve Dalsgaard
University of Copenhagen, Copenhagen, Denmark
Jason Alexander
University of Bath, Bath, United Kingdom
Kasper Hornbæk
University of Copenhagen, Copenhagen, Denmark
DOI

10.1145/3411764.3445193

論文URL

https://doi.org/10.1145/3411764.3445193

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: XR/VR/360°

[A] Paper Room 15, 2021-05-11 17:00:00~2021-05-11 19:00:00 / [B] Paper Room 15, 2021-05-12 01:00:00~2021-05-12 03:00:00 / [C] Paper Room 15, 2021-05-12 09:00:00~2021-05-12 11:00:00
Paper Room 15
12 件の発表
2021-05-11 17:00:00
2021-05-11 19:00:00
日本語まとめ
読み込み中…