IEEE Access (Jan 2023)

Influencer-Based Virtual Reality Stroop Task

  • Edoardo Battegazzorre,
  • Francesco Strada,
  • Lucia De Francesco,
  • Alessandro Mazza,
  • Olga Dal Monte,
  • Andrea Bottino

DOI
https://doi.org/10.1109/ACCESS.2023.3324554
Journal volume & issue
Vol. 11
pp. 126420 – 126435

Abstract

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Computerized Stroop tasks have proven to be valuable tools in experimental and clinical psychology, providing reliable and reproducible assessments of cognitive processes. This paper presents the Influencer-Based Virtual Reality Stroop Test (IB-VRST), an innovative application that allows users to perform an immersive Stroop test while exposed to various virtual influencers. These influencers are categorized as task-related and non-task-related distractors, and elements of social presence implemented through competitive and collaborative virtual avatars. To validate this application and analyze the effects of these influencers on performance and stress levels, we conducted two experiments where we collected quantitative data using application logs and biometric sensors, and qualitative data using pre- and post-experiment questionnaires and self-reported stress ratings. Results show that IB-VRST successfully creates an immersive and intuitive experience that prompts the Stroop effect. While distractors generally impair performance and increase stress levels, social presence elements generally improve performance and reduce stress, except when participants compete against a more skilled opponent. This study adds to the existing literature by providing a comprehensive examination of the effects of virtual influencing factors on immersive Stroop tasks, thereby supporting the development of more engaging, immersive, and effective virtual Stroop tests.

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