The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
The challenges of entering the metaverse: An experiment on the effect of extended reality on workload
Open accessAbstract
Information technologies exist to enable us to either do things we have not done before or do familiar things more efficiently. Metaverse (i.e. extended reality: XR) enables novel forms of engrossing telepresence, but it also may make mundate tasks more effortless. Such technologies increasingly facilitate our work, education, healthcare, consumption and entertainment; however, at the same time, metaverse bring a host of challenges. Therefore, we pose the question whether XR technologies, specifically Augmented Reality (AR) and Virtual Reality (VR), either increase or decrease the difficulties of carrying out everyday tasks. In the current study we conducted a 2 (AR: with vs. without) × 2 (VR: with vs. without) between-subject experiment where participants faced a shopping-related task (including navigating, movement, hand-interaction, information processing, information searching, storing, decision making, and simple calculation) to examine a proposed series of hypotheses. The NASA Task Load Index (NASA-TLX) was used to measure subjective workload when using an XR-mediated information system including six sub-dimensions of frustration, performance, effort, physical, mental, and temporal demand. The findings indicate that AR was significantly associated with overall workload, especially mental demand and effort, while VR had no significant effect on any workload sub-dimensions. There was a significant interaction effect between AR and VR on physical demand, effort, and overall workload. The results imply that the resources and cost of operating XR-mediated realities are different and higher than physical reality.
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Cites
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Cited by
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102542 · Cited by 2,753
Blockchain for the metaverse: A Review
Huynh-The, T., Gadekallu, T. R., Wang, W., Yenduri, G., Ranaweera, P., Pham, Q.-V., da Costa, D. B., & Liyanage, M. (2023) · Future Generation Computer Systems · doi:10.1016/j.future.2023.02.008 · Cited by 771
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
Chengoden, R., Victor, N., Huynh-The, T., Yenduri, G., Jhaveri, R. H., Alazab, M., Bhattacharya, S., Hegde, P., Maddikunta, P. K. R., & Gadekallu, T. R. (2023) · IEEE Access · doi:10.1109/access.2023.3241628 · Cited by 508
Development of metaverse for intelligent healthcare
Wang, G., Badal, A., Jia, X., Maltz, J. S., Mueller, K., Myers, K. J., Niu, C., Vannier, M., Yan, P., Yu, Z., et al. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00549-6 · Cited by 423
Metaverse governance: an empirical analysis of voting within Decentralized Autonomous Organizations
Goldberg, M., & Schär, F. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113764 · Cited by 155
Metadata
- Authors
- Xi, N., Chen, J., Gama, F., Riar, M., & Hamari, J.
- Venue
- Information Systems Frontiers
- Published
- 2022-02-12
- Volume
- 25
- Issue
- 2
- Pages
- 659-680
- ISSN
- 1387-3326 (ISSN-L)
- 1572-9419
- OpenAlex
- W4211228497
- Cited by
- 423
- References
- 106
- FWCI
- 46.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
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