Point- and Volume-Based Multi-object Acquisition in VR
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Multi-object acquisition is indispensable for many VR applications. Commonly, users select a group of objects of interest to perform further transformation or analysis. In this paper, we present three multi-object selection techniques that were derived based on a two-dimensional design space. The primary design dimension concerns whether a technique acquires targets through point-based methods (selecting one object at a time) or volume-based methods (selecting a set of objects within a selection volume). The secondary design dimension examines the mechanisms of selection and deselection (cancel the selection of unwanted objects). We compared these techniques through a user study, emphasizing on scenarios with more randomly distributed objects. We discovered, for example, that the point-based technique was more efficient and robust than the volume-based techniques in environments where the targets did not follow a specific layout. We also found that users applied the deselection mechanism mostly for error correction. We provide an in-depth discussion of our findings and further distill design implications for future applications that leverage multi-object acquisition techniques in VR.
Original language | English |
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Title of host publication | Human-Computer Interaction – INTERACT 2023 - 19th IFIP TC13 International Conference, Proceedings |
Editors | José Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno, Marco Winckler |
Number of pages | 23 |
Publisher | Springer |
Publication date | 2023 |
Pages | 20-42 |
ISBN (Print) | 9783031422799 |
DOIs | |
Publication status | Published - 2023 |
Event | 19th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2023 - York, United Kingdom Duration: 28 Aug 2023 → 1 Sep 2023 |
Conference
Conference | 19th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2023 |
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Land | United Kingdom |
By | York |
Periode | 28/08/2023 → 01/09/2023 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14142 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Multiple targets, Object selection, Virtual Reality
Research areas
ID: 390399228