Authors :
Dr. T. Amalraj Victoire; R. Ramakrishnan; Pavitirakumaran. C
Volume/Issue :
Volume 9 - 2024, Issue 5 - May
Google Scholar :
https://tinyurl.com/2p8xtazu
Scribd :
https://tinyurl.com/mr24j3zu
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAY1258
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Mixed reality (MR) environments offer a
potential boon for multitasking, but the influence of task
complexity remains unexplored. This study investigates
how individual task difficulty impacts performance in
MR. We examine the interplay between cognitive
workload, attention allocation during task switching, and
overall success on both primary and secondary tasks.
Participants will complete tasks of varying difficulty
within a controlled MR environment. We hypothesize
that increased task difficulty will lead to higher cognitive
load, hindering attention shifting and negatively
impacting performance on both tasks. Understanding
this relationship is crucial for optimizing human-
computer interaction in MR. The findings will inform
the design of MR interfaces that facilitate efficient
multitasking by minimizing cognitive strain and
optimizing attention allocation based on task complexity.
References :
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- Chen, J. Y., Lin, C. J., & Yu, T. L. (2019). The effects of task complexity and user experience on cognitive load in virtual reality environments. Computers & Education, 130, 168-180.
- Geiger, S. C., Brigham, F. J., & Jernstedt, G. L. (2007). Task difficulty and divided attention in virtual reality environments. Human Factors: The Journal of the Human Factors and Ergonomics Society, 49(1), 179-190.
- Giglia, E., & Reiner, M. (2018). The role of attention in virtual reality: User experience and applications. Frontiers in Robotics and AI, 5, 13.
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- Lee, E. L., & Kim, W. S. (2018). The effects of augmented reality on task performance and cognitive load. Ergonomics, 61(7), 983-991.
- McMahan, R. P., & Bowman, D. A. (2009). Evaluating interaction techniques for augmented reality. Computers & Graphics, 33(5), 545-553.
- Park, B., Kim, J. Y., & Sohn, J. (2021). User acceptance of mixed reality applications: A systematic review of influencing factors. International Journal of Human-Computer Studies, 155, 102688.
- Schubert, T., Friese, M., & Bois, D. (2000). Affect and cognitive load as determinants of attention allocation in information processing. Journal of Experimental Psychology: Applied, 6(1), 15-30.
- Waller, D., McDaniel, B., & Poulton, E. C. (2000). Working memory and auditory selective attention. **Journal of Experimental Psychology: Human Perception and Performance.
Mixed reality (MR) environments offer a
potential boon for multitasking, but the influence of task
complexity remains unexplored. This study investigates
how individual task difficulty impacts performance in
MR. We examine the interplay between cognitive
workload, attention allocation during task switching, and
overall success on both primary and secondary tasks.
Participants will complete tasks of varying difficulty
within a controlled MR environment. We hypothesize
that increased task difficulty will lead to higher cognitive
load, hindering attention shifting and negatively
impacting performance on both tasks. Understanding
this relationship is crucial for optimizing human-
computer interaction in MR. The findings will inform
the design of MR interfaces that facilitate efficient
multitasking by minimizing cognitive strain and
optimizing attention allocation based on task complexity.