Perceived Restorativeness and Meditation Depth for Virtual Reality Supported Mindfulness Interventions

Mark R. Costa, Dessa Bergen-Cico, Rachel Razza, Leanne Hirshfield, Qiu Wang

Research output: Chapter in Book/Entry/PoemConference contribution

5 Scopus citations


Novice meditators often find it difficult to tune out external distractions which hinders their ability to engage in mindfulness practice. The problem is further exacerbated by stress and directed attention fatigue. Researchers and tech companies are experimenting with nature-inspired themes to improve the meditation session quality. In this paper, we discuss our pilot experiment, using nature inspired virtual reality themes to create an idealized space for meditation. Our results indicate that the participants found the space restorative and that the perceived restorativeness was positively correlated with the perception of the depth or quality of the meditation session. We also found that a majority of participants experienced a reduction in baseline tonic electrodermal activity as well as frequency of skin conductance responses; however, neither electrodermal measure of arousal was significantly correlated with any of the self-report measures.

Original languageEnglish (US)
Title of host publicationHCI International 2020 – Late Breaking Papers
Subtitle of host publicationCognition, Learning and Games - 22nd HCI International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Don Harris, Wen-Chin Li, Dylan D. Schmorrow, Cali M. Fidopiastis, Panayiotis Zaphiris, Andri Ioannou, Andri Ioannou, Xiaowen Fang, Robert A. Sottilare, Jessica Schwarz
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9783030601270
StatePublished - 2020
Event22nd International Conference on Human-Computer Interaction,HCII 2020 - Copenhagen, Denmark
Duration: Jul 19 2020Jul 24 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12425 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference22nd International Conference on Human-Computer Interaction,HCII 2020

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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