Combining Virtual Reality and Biofeedback to Foster Empathic Abilities in Humans

Schoeller, Félix; Bertrand, Philippe; Gerry, Lynda Joy; Jain, Abhinandan; Horowitz, Adam Haar; Zenasni, Franck

doi:10.3389/fpsyg.2018.02741

Cited by 36 publications

(27 citation statements)

References 61 publications

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“…For that discussion see https://virtualrealitypop.com/measuring-empathy-in-virtualreality-678dd02eac61 (accessed January 11, 2020). (Bertrand et al, 2018;Schoeller et al, 2019). By "share" we do not mean experiencing exactly the same feeling, but having at least an "image" or a "sensuous representation" of what the other person is feeling (Persson and Savulescu, 2018, p. 186).…”

Section: Virtual Reality As An "Empathy Machine"mentioning

confidence: 99%

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Virtual Reality and Empathy Enhancement: Ethical Aspects

Rueda

Lara

2020

Front. Robot. AI

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The history of humankind is full of examples that indicate a constant desire to make human beings more moral. Nowadays, technological breakthroughs might have a significant impact on our moral character and abilities. This is the case of Virtual Reality (VR) technologies. The aim of this paper is to consider the ethical aspects of the use of VR in enhancing empathy. First, we will offer an introduction to VR, explaining its fundamental features, devices and concepts. Then, we will approach the characterization of VR as an “empathy machine,” showing why this medium has aroused so much interest and why, nevertheless, we do not believe it is the ideal way to enhance empathy. As an alternative, we will consider fostering empathy-related abilities through virtual embodiment in avatars. In the conclusion, however, we will examine some of the serious concerns related to the ethical relevance of empathy and will defend the philosophical case for a reason-guided empathy, also suggesting specific guidelines for possible future developments of empathy enhancement projects through VR embodied experiences.

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Section: Virtual Reality As An "Empathy Machine"mentioning

confidence: 99%

“…Bertrand et al (2018) also argued that the embodied dimension is crucial for the potential to learn empathy-related abilities in VR. They speak about the use of immersive embodied virtual reality (EVR) for this purpose Schoeller et al (2019). also use the EVR acronym.Frontiers in Robotics and AI | www.frontiersin.org…”

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confidence: 99%

Virtual Reality and Empathy Enhancement: Ethical Aspects

Rueda

Lara

2020

Front. Robot. AI

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“…GARAFED can assist the definition of emotion origin to design the affective system underlying a virtual reality setups for stimulating emotional states to improve mental health, relationships, well-being, empathy (Schoeller et al, 2019 );…”

Section: The Garafed Methodsmentioning

confidence: 99%

Toward Emotion Recognition From Physiological Signals in the Wild: Approaching the Methodological Issues in Real-Life Data Collection

et al. 2020

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Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for decades. In particular, physiological signals are widely used to detect and classify affective states in lab conditions. However, physiological reactions to emotional stimuli have been found to differ in laboratory and natural settings. Thanks to recent technological progress (e.g., in wearables) the creation of EMSR systems for a large number of consumers during their everyday activities is increasingly possible. Therefore, datasets created in the wild are needed to insure the validity and the exploitability of EMSR models for real-life applications. In this paper, we initially present common techniques used in laboratory settings to induce emotions for the purpose of physiological dataset creation. Next, advantages and challenges of data collection in the wild are discussed. To assess the applicability of existing datasets to real-life applications, we propose a set of categories to guide and compare at a glance different methodologies used by researchers to collect such data. For this purpose, we also introduce a visual tool called Graphical Assessment of Real-life Application-Focused Emotional Dataset (GARAFED). In the last part of the paper, we apply the proposed tool to compare existing physiological datasets for EMSR in the wild and to show possible improvements and future directions of research. We wish for this paper and GARAFED to be used as guidelines for researchers and developers who aim at collecting affect-related data for real-life EMSR-based applications.

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“…Another emerging approach in the treatment of anxiety disorders is the use of VR biofeedback systems ( Fernández-Álvarez et al., 2020 ; Schoeller et al., 2019 ).…”

Section: Clinical Applications and Recommendations ∗mentioning

confidence: 99%

Virtual Reality in Clinical Psychology

Riva

2022

Comprehensive Clinical Psychology

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Combining Virtual Reality and Biofeedback to Foster Empathic Abilities in Humans

Cited by 36 publications

References 61 publications

Virtual Reality and Empathy Enhancement: Ethical Aspects

Virtual Reality and Empathy Enhancement: Ethical Aspects

Toward Emotion Recognition From Physiological Signals in the Wild: Approaching the Methodological Issues in Real-Life Data Collection

Virtual Reality in Clinical Psychology

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