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001-es BibID:	BIBFORM111911
035-os BibID:	(cikkazonosító)2253 (WoS)000997807000001 (Scopus)85160610166
Első szerző:	Guzsvinecz Tibor (mérnök)
Cím:	Analyzing Accurate Egocentric Distance Estimates of University Students in Virtual Environments with a Desktop Display and Gear VR Display / Tibor Guzsvinecz, Erika Perge, Judit Szűcs
Dátum:	2023
ISSN:	2079-9292
Megjegyzések:	The perception of distances is crucial in both the real world and virtual environments. However, distances can be incorrectly estimated in the latter one, and they can be affected by technological and human factors. We created a virtual environment to take a step toward understanding this phenomenon. We assessed the egocentric distance estimation skills of 239 university students at 10 various distances between 25 cm and 160 cm at 15 cm intervals. A desktop display was used by 157 students, while the Gear VR display was used by 72 students. The effects of the following factors were analyzed: gender, height, dominant arm, previous VR experience, gaming hours per week, whether the participants wore glasses, their field of study, and display device. Logistic regression analysis was performed to assess their influences on the probabilities of accurate distance estimates, while linear regression analysis was conducted to examine their effects on estimation times. The results show that except for the factors of whether the participants wore glasses and their field of study, the probabilities of accurate distance estimates can be affected along with estimation times themselves.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk desktop display egocentric distance estimation Gear VR human-computer interaction immersion virtual environment
Megjelenés:	Electronics (Switzerland). - 12 : 10 (2023), p. 1-24. -
További szerzők:	Perge Erika (1972-) (informatikus) Szűcs Judit
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM109892
035-os BibID:	(cikkazonosító)3138 (WoS)000960105600001 (Scopus)85151210632
Első szerző:	Guzsvinecz Tibor (mérnök)
Cím:	Examining the Results of Virtual Reality-Based Egocentric Distance Estimation Tests Based on Immersion Level / Tibor Guzsvinecz, Erika Perge, Judit Szűcs
Dátum:	2023
ISSN:	1424-8220
Megjegyzések:	Depth perception as well as egocentric distance estimation can be trained in virtual spaces, although incorrect estimates can occur in these environments. To understand this phenomenon, a virtual environment with 11 changeable factors was created. Egocentric distance estimation skills of 239 participants were assessed with it in the range [25 cm, 160 cm]. One hundred fifty-seven people used a desktop display and seventy-two the Gear VR. According to the results, these investigated factors can have various effects combined with the two display devices on distance estimation and its time. Overall, desktop display users are more likely to accurately estimate or overestimate distances, and significant overestimations occur at 130 and 160 cm. With the Gear VR, distances in the range [40 cm, 130 cm] are significantly underestimated, while at 25 cm, they are significantly overestimated. Estimation times are significantly decreased with the Gear VR. When developing future virtual environments that require depth perception skills, developers should take these results into account.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk desktop display egocentric distance estimation depth perception Gear VR headmounted display human-computer interaction immersion virtual reality
Megjelenés:	Sensors. - 23 : 6 (2023), p.1-19. -
További szerzők:	Perge Erika (1972-) (informatikus) Szűcs Judit
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: