Analysis of Proximity-Based Multimodal Feedback for 3D Selection in Immersive Virtual Environments
| Autor: | Nicholas Katzakis, Oscar Ariza, Gerd Bruder, Frank Steinicke |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Auditory feedback
Computer science media_common.quotation_subject 05 social sciences 020207 software engineering Input device 02 engineering and technology Virtual reality Stimulus (physiology) Visualization Human–computer interaction Perception 0202 electrical engineering electronic engineering information engineering Immersion (virtual reality) Task analysis 0501 psychology and cognitive sciences 050107 human factors media_common |
| Zdroj: | VR |
| DOI: | 10.1109/vr.2018.8446317 |
| Popis: | Interaction tasks in virtual reality (VR) such as three-dimensional (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 proximity-based 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 proximity-based 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. |
| Databáze: | OpenAIRE |
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