Self-Characterstics and Sound in Immersive Virtual Reality: Estimating Avatar Weight from Footstep Sounds

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskningpeer review

2 Citationer (Scopus)

Resumé

This experiment aimed to investigate whether a user controlling a full body avatar via real time motion tracking in an immersive virtual reality setup, would estimate the weight of the virtual avatar differently if the footstep sounds are manipulated using three different audio filter settings. The visual appearance of the avatar was available in two sizes. The subjects performed six walks with each audio configuration active once over two ground types. After completing each walk, the participants were asked to estimate the weight of the virtual avatar and the suitability of the audio feedback.
The results indicate that the filters amplifying the two lower center frequencies altered the subjects estimates of the weight of the avatar body towards being heavier than when compared with the filter with the higher center frequency. There were no significant differences between the weight estimates of the two groups using the different avatar bodies.
OriginalsprogEngelsk
Publikationsdato2015
Antal sider2
DOI
StatusUdgivet - 2015
Begivenhed2015 IEEE Virtual Reality Conference (VR) - Arles, Frankrig
Varighed: 23 mar. 201527 mar. 2015

Konference

Konference2015 IEEE Virtual Reality Conference (VR)
LandFrankrig
ByArles
Periode23/03/201527/03/2015

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Virtual reality
Acoustic waves
Feedback
Experiments

Citer dette

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title = "Self-Characterstics and Sound in Immersive Virtual Reality: Estimating Avatar Weight from Footstep Sounds",
abstract = "This experiment aimed to investigate whether a user controlling a full body avatar via real time motion tracking in an immersive virtual reality setup, would estimate the weight of the virtual avatar differently if the footstep sounds are manipulated using three different audio filter settings. The visual appearance of the avatar was available in two sizes. The subjects performed six walks with each audio configuration active once over two ground types. After completing each walk, the participants were asked to estimate the weight of the virtual avatar and the suitability of the audio feedback.The results indicate that the filters amplifying the two lower center frequencies altered the subjects estimates of the weight of the avatar body towards being heavier than when compared with the filter with the higher center frequency. There were no significant differences between the weight estimates of the two groups using the different avatar bodies.",
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year = "2015",
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Self-Characterstics and Sound in Immersive Virtual Reality : Estimating Avatar Weight from Footstep Sounds. / Sikström, Erik; Götzen, Amalia De; Serafin, Stefania.

2015. Poster præsenteret på 2015 IEEE Virtual Reality Conference (VR), Arles, Frankrig.

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskningpeer review

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