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

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 :

1. Bowman, D. A., & McMahan, R. P. (2007). Going beyond desktop VR: A framework for virtual reality as a general purpose user interface. International Journal of Human-Computer Studies, 65(9), 732-745.
2. 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.
3. 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.
4. Giglia, E., & Reiner, M. (2018). The role of attention in virtual reality: User experience and applications. Frontiers in Robotics and AI, 5, 13.
5. Jensen, O.-C., & Rollins, A. T. (1994). A measure of mental workload for complex cognitive tasks. Acta Psychologica, 86(1-2), 101-121.
6. Lee, E. L., & Kim, W. S. (2018). The effects of augmented reality on task performance and cognitive load. Ergonomics, 61(7), 983-991.
7. McMahan, R. P., & Bowman, D. A. (2009). Evaluating interaction techniques for augmented reality. Computers & Graphics, 33(5), 545-553.
8. 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.
9. 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.
10. Waller, D., McDaniel, B., & Poulton, E. C. (2000). Working memory and auditory selective attention. **Journal of Experimental Psychology: Human Perception and Performance.