The DOI matches its Crossref record; 29 of the 30 references it cites were found in a registry or an index.
A handle bar metaphor for virtual object manipulation with mid-air interaction
Abstract
Commercial 3D scene acquisition systems such as the Microsoft Kinect sensor can reduce the cost barrier of realizing mid-air interaction. However, since it can only sense hand position but not hand orientation robustly, current mid-air interaction methods for 3D virtual object manipulation often require contextual and mode switching to perform translation, rotation, and scaling, thus preventing natural continuous gestural interactions. A novel handle bar metaphor is proposed as an effective visual control metaphor between the user's hand gestures and the corresponding virtual object manipulation operations. It mimics a familiar situation of handling objects that are skewered with a bimanual handle bar. The use of relative 3D motion of the two hands to design the mid-air interaction allows us to provide precise controllability despite the Kinect sensor's low image resolution. A comprehensive repertoire of 3D manipulation operations is proposed to manipulate single objects, perform fast constrained rotation, and pack/align multiple objects along a line. Three user studies were devised to demonstrate the efficacy and intuitiveness of the proposed interaction techniques on different virtual manipulation scenarios.
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“These indirect manipulation techniques are either more precise [36,37] or fast to use [32,37].”
From Trade-Off between Task Accuracy, Task Completion Time and Naturalness for Direct Object Manipulation in Virtual Reality (2022) · cites this paper as [32]
In the citing paper
“However, these techniques suffer from either hand tiredness [32] or increased learning curve [35,36] which are important for medical context.”
From Trade-Off between Task Accuracy, Task Completion Time and Naturalness for Direct Object Manipulation in Virtual Reality (2022) · cites this paper as [32]
Citations
Cites
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Nancel, M., Wagner, J., Pietriga, E., Chapuis, O., & Mackay, W. E. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1978969 · Cited by 219
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Hilliges, O., Izadi, S., Wilson, A. D., Hodges, S. E., Garcia-Mendoza, A., & Butz, A. M. (2009) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/1622176.1622203 · Cited by 210
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Hinckley, K., Pausch, R. F., Proffítt, D. R., & Kassell, N. F. (1998) · ACM Transactions on Computer-Human Interaction · doi:10.1145/292834.292849 · Cited by 205
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Research works printed but not linked: 4
- 10.1109/VR.2006.119 · DOI
- S. Kolarić , A. Raposo , and M. Gattass . Direct 3D manipulation using vision-based recognition of uninstrumented hands . In X Symposium on Virtual and Augmented Reality , pages 212 -- 220 , 2008 . S. Kolarić, A. Raposo, and M. Gattass. Direct 3D manipulation using vision-based recognition of uninstrumented hands. In X Symposium on Virtual and Augmented Reality, pages 212--220, 2008.
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- 10.5555/580521.835829 · DOI
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Sorted by citations
A Survey on 3D Virtual Object Manipulation: From the Desktop to Immersive Virtual Environments
Mendes, D., Caputo, A., Giachetti, A., Ferreira, A., & Jorge, J. A. (2018) · Computer Graphics Forum · doi:10.1111/cgf.13390 · Cited by 197
Surale, H. B., Gupta, A., Hancock, M., & Vogel, D. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300243 · Cited by 126
The State of the Art of Spatial Interfaces for 3D Visualization
Besançon, L., Ynnerman, A., Keefe, D. F., Yu, L., & Tobias Isenberg, A. (2021) · Computer Graphics Forum · doi:10.1111/cgf.14189 · Cited by 121
3D Object Manipulation Techniques in Handheld Mobile Augmented Reality Interface: A Review
Su, G. E., Sunar, M. S., & Ismail, A. W. (2019) · IEEE Access · doi:10.1109/access.2019.2906394 · Cited by 119
Empirical Research in Mid-Air Interaction: A Systematic Review
Koutsabasis, P., & Vogiatzidakis, P. (2019) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2019.1572352 · Cited by 117
Metadata
- Authors
- Song, P., Goh, W. B., Hutama, W., Fu, C.-W., & Liu, X.
- Affiliations
- Nanyang Technological University (SG)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2012-05-05
- Pages
- 1297-1306
- OpenAlex
- W2102284405
- Cited by
- 210
- References
- 30
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 11 · 2023: 17 · 2022: 18 · 2021: 17 · 2020: 14 · 2019: 17 · 2018: 16 · 2017: 16 · 2016: 16 · 2015: 18 · 2014: 20 · 2013: 12 · 2012: 3
- FWCI
- 11.92
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Keywords
- mid-air interaction, virtual object manipulation, hand gestures, Kinect sensor, bimanual interaction, object alignment, gesture-based interaction
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