Analysis of Proximity-Based Multimodal Feedback for 3D Selection in Immersive Virtual Environments

Proceedings of IEEE Virtual Reality (VR), page (accepted) - 2018
Interaction tasks in virtual reality (VR) such as threedimensional (3D) selection or manipulation of objects often suffer from reduced performance due to missing or different feedback provided by VR systems than during corresponding realworld interactions. Vibrotactile and auditory feedback have been suggested as additional perceptual cues complementing the visual channel to improve interaction in VR. However, it has rarely been shown that multimodal feedback improves performance or reduces errors during 3D object selection. Only little research has been conducted in the area of proximitybased multimodal feedback, in which stimulus intensities depend on spatiotemporal relations between input device and the virtual target object. In this paper, we analyzed the effects of unimodal and bimodal feedback provided through the visual, auditory and tactile modalities, while users perform 3D object selections in VEs, by comparing both binary and continuous proximitybased feedback. We conducted a Fitts’ Law experiment and evaluated the different feedback approaches. The results show that the feedback types affect ballistic and correction phases of the selection movement, and significantly influence the user performance.

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BibTex references

@InProceedings\{ABKS18,
  author       = "Ariza, Oscar and Bruder, Gerd and Katzakis, Nicholas and Steinicke, Frank",
  title        = "Analysis of Proximity-Based Multimodal Feedback for 3D Selection in Immersive Virtual Environments",
  booktitle    = "Proceedings of IEEE Virtual Reality (VR)",
  pages        = "(accepted)",
  year         = "2018",
  organization = "Hamburg Universität",
  address      = "Vogt-Kölln-Str. 30",
  url          = "http://basilic.informatik.uni-hamburg.de/Publications/2018/ABKS18"
}

Other publications in the database

» Oscar Ariza
» Gerd Bruder
» Nicholas Katzakis
» Frank Steinicke