Exploring the Role of Self-efficacy in Biofeedback Video Games

Weerdmeester, Joanneke; Rooij, Marieke van; Harris, Owen; Smit, Niki; Engels, Rutger C. M. E.; Granic, Isabela

doi:10.1145/3130859.3131299

Cited by 26 publications

(31 citation statements)

References 48 publications

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“…Breeze uses the results from the breathing phases detection to facilitate a gamified, biofeedback-guided visualization for slow-paced breathing training. In line with prior work [12,18,59,81], gamification elements are used to increase the experiential value (e.g., enjoyment) of this training [50]. It is assumed that this experiential value increases the reach of slow-paced breathing training in population groups with lower prevalence rates of usage, such as males, less-educated, or physically inactive individuals [11].…”

Section: Design Of the Gamified Biofeedback-guided Visualizationmentioning

confidence: 99%

“…Breeze therefore offers the benefits of biofeedback without requiring additional equipment due to recent advancements in smartphone-based acoustic signal processing [6,12,44,54]. Moreover, gamified biofeedback in Breeze (e.g., a successful slow-paced breathing increases the speed of a sailboat) targets experiential outcomes (e.g., enjoyment) in addition to instrumental outcomes of strengthening cardiac functioning or psychological well-being [12,18,50,59,81]. This experiential value of Breeze can be used to reach those who are less motivated to perform slow-paced breathing training [11].…”

Section: Introductionmentioning

confidence: 99%

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Breeze

Shih

Tomita

Lukic

et al. 2019

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Slow-paced biofeedback-guided breathing training has been shown to improve cardiac functioning and psychological wellbeing. Current training options, however, attract only a fraction of individuals and are limited in their scalability as they require dedicated biofeedback hardware. In this work, we present Breeze, a mobile application that uses a smartphone's microphone to continuously detect breathing phases, which then trigger a gamified biofeedback-guided breathing training. Circa 2.76 million breathing sounds from 43 subjects and control sounds were collected and labeled to train and test our breathing detection algorithm. We model breathing as inhalation-pause-exhalation-pause sequences and implement a phase-detection system with an attention-based LSTM model in conjunction with a CNN-based breath extraction module. A biofeedback-guided breathing training with Breeze takes place in real-time and achieves 75.5% accuracy in breathing phases detection. Breeze was also evaluated in a pilot study with 16 new subjects, which demonstrated that the majority of subjects prefer Breeze over a validated active control condition in its usefulness, enjoyment, control, and usage intentions. Breeze is also effective for strengthening users' cardiac functioning by increasing high-frequency heart rate variability. The results of our study suggest that Breeze could potentially be utilized in clinical and self-care activities. Sailboat In h a le P a u se E xh a le P a u se … Nose Mouth R e p e a te d a co u st ic b re a th in g se q u e n ce Fig. 1. Overview of Breeze, a mobile gamified biofeedback breathing training.

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Section: Design Of the Gamified Biofeedback-guided Visualizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Breeze

Shih

Tomita

Lukic

et al. 2019

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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“…Table 2 shows the results for the risk of bias assessment. All the studies included in this review reported the sampling method [41][42][43][44][45][46][47][48][49][50][51], although the performance and the detection biases during blinding phase were unclear for all but one [41]. Concerning the outcomes, only two studies [45,47] presented high risk of bias for missing data handled appropriately or for missing a match between methods and results.…”

Section: Risk Of Biasmentioning

confidence: 99%

“…Among other risks, we reported a high risk of bias for a small sample size with a range from eight to fifteen participants in three studies [44,47,51]. We considered important to report also a high risk of bias for lacking a control group for an experimental comparison [44,45,[47][48][49][50][51]. Lastly, only one study addressed to patients have reported a high risk for no homogeneous clinical sample due to differences in clinical diseases and their specific characteristics [44] that might affect the interpretation of the outcomes.…”

Section: Risk Of Biasmentioning

confidence: 99%

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The Benefits of emotion Regulation Interventions in Virtual Reality for the Improvement of Wellbeing in Adults and Older Adults: A Systematic Review

Montana

Matamala-Gomez

Maisto

et al. 2020

JCM

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The impact of emotion regulation interventions on wellbeing has been extensively documented in literature, although only in recent years virtual reality (VR) technologies have been incorporated in the design of such interventions, in both clinical and non-clinical settings. A systematic search, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, was therefore carried out to explore the state of the art in emotion regulation interventions for wellbeing using virtual reality. The literature on this topic was queried, 414 papers were screened, and 11 studies were included, covering adults and older adults. Our findings offer an overview of the current use of VR technologies for the enhancement of emotion regulation (ER) and wellbeing. The results are promising and suggest that VR-based emotion regulation training can facilitate the promotion of wellbeing. An overview of VR-based training interventions is crucial for better understanding how to use these tools in the clinical settings. This review offers a critical debate on the structure of such intervention protocols. It also analyzes and highlights the crucial role played by the selection of the objective and subjective wellbeing assessment measures of said intervention protocols.

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Virtual reality for the enhancement of emotion regulation

Colombo

Díaz-García

Fernández‐Álvarez

et al. 2021

Clin Psychology and Psychoth

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In recent decades, a growing body of literature has focused on emotion regulation (ER), which refers to the ability to implement strategies in order to modulate emotional responses and reach desirable goals. To date, impaired ER (i.e., emotion dysregulation) has been identified as a transdiagnostic factor across a wide range of psychopathological conditions, which shows the importance of improving patients' ability to regulate negative and positive emotions in clinical practice. In addition to the increasing evidence showing its efficacy in the treatment of several clinical conditions, virtual reality (VR) has recently emerged as a potentially powerful tool for enhancing ER, thus breaking new ground in the development of cutting-edge transdiagnostic interventions. In the present narrative review, we will provide an overview of the existing evidence about VR-based interventions in the field of ER, emphasizing the promising findings and the barriers that still have to be addressed. To this aim, the available VR-based literature will be analysed in relation to four categories of ER strategies: situational strategies, attentional strategies, cognitive strategies, and response modulation strategies. Furthermore, new emerging fields of research targeting innovative aspects of ER will be highlighted, including the use of VR to promote positive emotions and interpersonal ER skills. Besides, its cost-effectiveness will be discussed, taking into account the costs for both developers (e.g., clinicians and researchers) and end-users. Finally, future directions in this promising field of research will be outlined.

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Exploring the Role of Self-efficacy in Biofeedback Video Games

Cited by 26 publications

References 48 publications

Breeze

Breeze

The Benefits of emotion Regulation Interventions in Virtual Reality for the Improvement of Wellbeing in Adults and Older Adults: A Systematic Review

Virtual reality for the enhancement of emotion regulation

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