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Effects of interactivity and 3D-motion on mental rotation brain activity in an immersive virtual environment
Abstract
The combination of virtual reality (VR) and brain measurements is a promising development of HCI, but the maturation of this paradigm requires more knowledge about how brain activity is influenced by parameters of VR applications. To this end we investigate the influence of two prominent VR parameters, 3d-motion and interactivity, while brain activity is measured for a mental rotation task, using functional MRI (fMRI). A mental rotation network of brain areas is identified, matching previous results. The addition of interactivity increases the activation in core areas of this network, with more profound effects in frontal and preparatory motor areas. The increases from 3d-motion are restricted to primarily visual areas. We relate these effects to emerging theories of cognition and potential applications for brain-computer interfaces (BCIs). Our results demonstrate one way to provoke increased activity in task-relevant areas, making it easier to detect and use for adaptation and development of HCI.
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While some work showed feasible accuracy, other work argues that other modalities are superior.
“While some work showed feasible accuracy [182,202], other work argues that other modalities are superior [87,201].”
From A Survey on Measuring Cognitive Workload in Human-Computer Interaction (2023) · cites this paper as [202]
Measurements of EDA and derived metrics have been successfully applied, including user experience evaluation tools, detecting office workload, and driver-related tasks.
“Measurements of EDA and derived metrics have been successfully applied, including, e.g., user experience evaluation tools [76], detecting office workload [216] and driver-related tasks [202,217,224].”
From A Survey on Measuring Cognitive Workload in Human-Computer Interaction (2023) · cites this paper as [202]
Citations
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STRUCTURE AND FUNCTION OF VISUAL AREA MT
Born, R. T., & Bradley, D. C. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131052 · Cited by 1,023 · cited 1×
“It seems reasonable that the areas that do show a significant increase in activity are more related to the perception of motion and moving visual stimuli in general, with the strongest activation in MT/V5, an area well documented as sensitive to motion [6].”
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Blanke, O., & Arzy, S. (2005) · The Neuroscientist · doi:10.1177/1073858404270885 · Cited by 469 · cited 1×
“…activation in the right angular gyrus is of some interest since this location is close to the temporoparietal junction (TPJ), an area previously related to the multisensory integration of body-related information, out-of-body experiences [5] and the related impact on the sense of presence [26].”
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A Survey on Measuring Cognitive Workload in Human-Computer Interaction
Kosch, T., Karolus, J., Zagermann, J., Reiterer, H., Schmidt, A., & Woźniak, P. W. (2023) · ACM Computing Surveys · doi:10.1145/3582272 · Cited by 304
Metadata
- Authors
- Sjölie, D., Bodin, K., Elgh, E., Eriksson, J., Janlert, L.-E., & Nyberg, L.
- Affiliations
- Umeå University (SE)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2010-04-10
- Pages
- 869-878
- OpenAlex
- W1964894161
- Cited by
- 19
- References
- 4
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 2 · 2017: 3 · 2016: 1 · 2014: 2 · 2013: 2
- FWCI
- 0.73
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- virtual reality, mental rotation, brain activity, interactivity, three-dimensional motion, immersive virtual environments, frontal cortex, motor areas, visual cortex, brain-computer interface, human-computer interaction
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