Effects of Voluntary Heart Rate Control on User Engagement in Virtual Reality

Houzangbe, Samory; Christmann, Olivier; Gorisse, Geoffrey; Richir, Simon

doi:10.1109/vr.2019.8797759

Cited by 7 publications

(2 citation statements)

References 6 publications

(7 reference statements)

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“…Physiological measures can also be used as explicit game features. For example, progress may be denied if a player is unable to adjust their heart rate to a certain level (Houzangbe et al, 2019;Mosquera et al, 2019). Additionally, the field of view in a horror game can be adjusted depending on the heartbeat (Houzangbe et al, 2018).…”

Section: Entertainmentmentioning

confidence: 99%

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

Halbig

Latoschik

2021

Front. Virtual Real.

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Measurements of physiological parameters provide an objective, often non-intrusive, and (at least semi-)automatic evaluation and utilization of user behavior. In addition, specific hardware devices of Virtual Reality (VR) often ship with built-in sensors, i.e. eye-tracking and movements sensors. Hence, the combination of physiological measurements and VR applications seems promising. Several approaches have investigated the applicability and benefits of this combination for various fields of applications. However, the range of possible application fields, coupled with potentially useful and beneficial physiological parameters, types of sensor, target variables and factors, and analysis approaches and techniques is manifold. This article provides a systematic overview and an extensive state-of-the-art review of the usage of physiological measurements in VR. We identified 1,119 works that make use of physiological measurements in VR. Within these, we identified 32 approaches that focus on the classification of characteristics of experience, common in VR applications. The first part of this review categorizes the 1,119 works by field of application, i.e. therapy, training, entertainment, and communication and interaction, as well as by the specific target factors and variables measured by the physiological parameters. An additional category summarizes general VR approaches applicable to all specific fields of application since they target typical VR qualities. In the second part of this review, we analyze the target factors and variables regarding the respective methods used for an automatic analysis and, potentially, classification. For example, we highlight which measurement setups have been proven to be sensitive enough to distinguish different levels of arousal, valence, anxiety, stress, or cognitive workload in the virtual realm. This work may prove useful for all researchers wanting to use physiological data in VR and who want to have a good overview of prior approaches taken, their benefits and potential drawbacks.

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Section: Entertainmentmentioning

confidence: 99%

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

Halbig

Latoschik

2021

Front. Virtual Real.

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“…learn to voluntarily control their electrodermal activity, heart rate variability, brain activity or respiration, among others. Recently, VR has been combined and tested with biofeedback of electroencephalographic oscillations (e.g., Berger and Davelaar 2018;Kosunen et al 2016), electrodermal activity (e.g., Gromala et al 2015;Hølledig and Petersen 2018;Rockstroh et al 2020), heart rate (e.g., Gradl et al 2018;Houzangbe et al 2019) and heart rate variability (e.g., Rockstroh et al 2019;Blum et al 2019).…”

Section: Virtual Reality Biofeedbackmentioning

confidence: 99%

A mobile VR-based respiratory biofeedback game to foster diaphragmatic breathing

2020

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Virtual reality (VR) has become popular in mental health research. Several studies have explored the use of VR in the context of biofeedback protocols. In the present paper, we report on the development and evaluation of a VR-based respiratory biofeedback game to foster diaphragmatic breathing. The game integrates respiratory biofeedback, restorative VR and gamification. The game is designed to run on a mobile, all-in-one VR headset. Notably, an integrated VR hand controller is utilized as a sensor to detect respiration-induced movements of the diaphragm. In a longitudinal within-subjects study, we explored the feasibility of the game and tested the effectiveness of six training sessions. Participants reported a pleasant user experience. Moreover, the results show that the brief VR-based breathing training increased perceived breath awareness, improved diaphragmatic breathing, increased relaxation, decreased perceived stress, reduced symptoms of burnout and boosted relaxation-related self-efficacy. Future studies need to address the generalizability and long-term stability of the results, compare the approach with existing treatments and fine-tune the training components.

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Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022)

da Silveira,

Lima de Souza,

Ghinea

et al. 2024

International Journal of Human–Computer Interaction

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Effects of Voluntary Heart Rate Control on User Engagement in Virtual Reality

Cited by 7 publications

References 6 publications

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

A mobile VR-based respiratory biofeedback game to foster diaphragmatic breathing

Physiological Data for User Experience and Quality of Experience: A Systematic Review (2018–2022)

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