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2020
DOI: 10.2196/17823
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Biosensor Real-Time Affective Analytics in Virtual and Mixed Reality Medical Education Serious Games: Cohort Study

Abstract: Background The role of emotion is crucial to the learning process, as it is linked to motivation, interest, and attention. Affective states are expressed in the brain and in overall biological activity. Biosignals, like heart rate (HR), electrodermal activity (EDA), and electroencephalography (EEG) are physiological expressions affected by emotional state. Analyzing these biosignal recordings can point to a person’s emotional state. Contemporary medical education has progressed extensively towards … Show more

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Cited by 45 publications
(47 citation statements)
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References 92 publications
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“…External sensors may include, for example, additional devices that measure body movement and posture. Biosensors, such as electrodermal activity (EDA) sensors used to record emotional arousal, cardiovascular activity sensors that are used as markers for both mental and physical states and even electroencephalography (EEG) that records the electrical activity of the brain [ 60 , 65 ] are another prominent example. Synchronization between the data of the built-in sensors and the external sensors can be done in a post hoc manner based on time fields.…”
Section: Using Virtual Reality To Study Human Behavior and Mobilitmentioning
confidence: 99%
“…External sensors may include, for example, additional devices that measure body movement and posture. Biosensors, such as electrodermal activity (EDA) sensors used to record emotional arousal, cardiovascular activity sensors that are used as markers for both mental and physical states and even electroencephalography (EEG) that records the electrical activity of the brain [ 60 , 65 ] are another prominent example. Synchronization between the data of the built-in sensors and the external sensors can be done in a post hoc manner based on time fields.…”
Section: Using Virtual Reality To Study Human Behavior and Mobilitmentioning
confidence: 99%
“…Most studies (19 out of 27) first separated the signal into tonic and phasic components, but there was no consensus on which component to use. Six studies used both tonic and phasic components to further analyze the EDA signal [ 52 , 53 , 56 , 58 , 61 , 69 ]. Additionally, six studies used tonic components, i.e., skin conductance level (SCL) only [ 39 , 40 , 49 , 55 , 63 , 65 ], and seven studies used phasic components, i.e., skin conductance response (SCR) only [ 33 , 36 , 50 , 60 , 64 , 66 , 68 ].…”
Section: Resultsmentioning
confidence: 99%
“…Regarding the processing of the EDA signal, nine studies did not report information about cleaning or filtering [ 40 , 46 , 53 , 57 , 60 , 61 , 62 , 67 , 68 ].…”
Section: Resultsmentioning
confidence: 99%
“…Virtual patients, and virtual/augmented/mixed reality (VR/AR/MR) have been shown to improve both the educational and affective states of healthcare students [5]- [8], thus increasing interest. These technologies' sensory immediacy results in an intuitive anchoring of the core information to the learner and facilitates model construction based on solid science evidence [9], [10].…”
Section: Timeliness and Relevancementioning
confidence: 99%
“…He has authored more than 40 scientific publications in journals and conferences several of which are in the field of technology enabled educational content creation and repurposing. From evaluating web based VP experiences [22] to VP ports in MUVEs [23] and recently to augmented [24] and mixed reality [5], along with devising participatory methodologies for these media [16] PA will provide the current technologist's/practitioner's view on the challenges of bridging the gap between the educational narrative and the technological realities of immersive media. His practical, implementation based viewpoint will also allow him to facilitate both the hands-on storyboarding session and the overall panel.…”
Section: Panelist Contributionsmentioning
confidence: 99%