The challenges of entering the metaverse: An experiment on the effect of extended reality on workload
By Nannan Xi, Juan Chen, Filipe Gama, Marc Riar, Juho Hamari. Information Systems Frontiers, 2022
360 citations recorded by the source corpus.
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.
Subfields: Computer Vision and Pattern Recognition, Social Psychology, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/1bb2f2f1f2bc38e4a31687bd505ae50d822732c4
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In Computer Vision and Pattern Recognition
Citations in the corpus
- Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions (2022, background): “It is being used in an increasing number of industries, from healthcare to manufacturing [76].”
- Blockchain for the Metaverse: A Review (2022, background): “Hence, massive amounts of heterogeneous data will be generated [33].”
- The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics (2022, background): “However, it is considered to be an inevitable risk that young learners, who lack self-discipline and self-control, may fall into a state of addiction, which may lead to potential damage to their physical and mental health (Xi et al., 2022).”