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A Literature Review on a Neuro-Psychological Approach to Immersive Technology Research

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Augmented Cognition (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12776))

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Abstract

One of the challenges of immersive technology research is that its increasing system complexity makes evaluating the user experience difficult. The use of an electroencephalogram (EEG) has been suggested as a promising approach to understanding the user’s cognitive, emotional, and behavioral responses to immersive technology. However, the translation of this method into clear applications for user research remains challenging. To address this challenge, this paper outlines a systematic literature review to identify the applications of EEG measures currently adopted in immersive technology research. The full range of journal articles and major conference proceedings that reference the adoption of EEG measures to address immersive technology usage issues were searched. Based on rigorous inclusion and exclusion criteria, 84 relevant papers were identified and reviewed in the study. This literature review involves analysis of bibliometric data, research contexts, EEG analysis methods, and EEG stimuli. Presented in this paper are research gaps identified and opportunities for future research recommended based on the analysis results. This study contributes to advancing our knowledge about how to collect and analyze EEG data in immersive technology research.

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Authors and Affiliations

  1. BBK Education Electronics, Shenzhen, China

    Guan Wang

  2. Business School, Sungkyunkwan University, Seoul, Korea

    Ayoung Suh

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  1. Guan Wang
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  2. Ayoung Suh
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Correspondence to Ayoung Suh .

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    Dylan D. Schmorrow

  2. Design Interactive, Inc., Orlando, FL, USA

    Cali M. Fidopiastis

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Wang, G., Suh, A. (2021). A Literature Review on a Neuro-Psychological Approach to Immersive Technology Research. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Augmented Cognition. HCII 2021. Lecture Notes in Computer Science(), vol 12776. Springer, Cham. https://doi.org/10.1007/978-3-030-78114-9_8

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