e.g. mhealth
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Skip search results from other journals and go to results- 5 Journal of Medical Internet Research
- 4 JMIR Formative Research
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One crucial limitation common to all currently available VR interventions for SUDs remains that the environments used are predefined situations and dialogues are not in real time with an avatar. The scenarios could consequently not be personalized to the patient’s needs.
To improve the effectiveness of CUD treatments for people with SMD, our research team has developed the avatar intervention for CUD.
JMIR Ment Health 2024;11:e58499
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The patient was very quick to adopt the product and was intuitively able to choose her avatar, engage with the clinician, as well as proceed with selecting the clinician’s avatar. The patient was also given the opportunity to choose her scene selection for this case study only.
The scenes used for the 2 D experience were Alpine, Forest, Shrine, and Tundra. TF-CBT interventions used were affective modulation and cognitive coping.
JMIR Form Res 2023;7:e34346
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Pino et al [32] concluded that children with autism experience less difficulties with recognizing emotions expressed by avatars as opposed to real images, and through eye tracking it was discovered that avatar faces were more explored than real faces. However, creating avatars with ecological valid expressions remains a possible challenge. Emotion expressions in general or specific populations do not necessarily differ per se.
JMIR Form Res 2023;7:e44632
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In short, the participants had to steer an owl avatar on a predefined path made up of stars by the isolated movement of 1 selected target joint. The path consisted of upward and downward curves, lasted 30 seconds, and was presented on a screen placed in front of the participants (Figures 1 A and 1 B). Six pairs of 3 D accelerometers were positioned bilaterally over the hip, knee, and ankle joints (Reha-Stim Medtec AG; Figure 1 C).
JMIR Rehabil Assist Technol 2022;9(4):e39687
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As the spatial immersion into the IVR avatar and implementation of plausible actions (eg, controls) can evoke realistic behaviors [16], we decided to look into three important components for embodiment illusions: (1) avatar appearance, (2) controller-based locomotion, and (3) object manipulation.
In the following sections, we examine related studies concerning (1) avatar immersion, (2) controller-based locomotion, and (3) object manipulation.
JMIR Serious Games 2022;10(4):e39966
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The point-cloud data were then simplified into 3 D geometry and texture of each participant’s face, and then their 3 D face model was merged with an existing virtual avatar body. Finally, the participants’ body sizes were applied to a virtual avatar’s body to produce a personalized avatar. Figure 2 shows the process of the avatar creation.
Procedure for avatar creation. (A) 300 facial image data of diverse angles in 4 K resolution are acquired through a mobile device.
JMIR Serious Games 2022;10(4):e40119
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Importantly, observing a self-resembling avatar modeling an activity (eg, exercise) within a VR environment, as opposed to a generic avatar, differentially positively influences real-world behavior, thus increasing actual engagement with the activity [29,36].
JMIR Form Res 2022;6(10):e36275
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Participants could personalize their avatar during the sign-up process to ensure that the avatar best resembled themselves, in order to increase personal relevance and to positively impact health behavior change [52]. The avatar was depicted using a cartoon-style unanimated 2 D design to avoid feelings of eeriness and repulsion as described by the uncanny valley effect [53].
J Med Internet Res 2022;24(7):e32487
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[#a11.2]
Integration of all values on one avatar. [#47.2]
Information simplified by Visual-Patient-avatar. [#13.2]
Overview of relevant parameters at a glance through Visual-Patient-avatar. [#25.2]
The blood pressure feature was not easy to understand for me. [#24.2]
Visual-Patient-avatar: head too large in contrast to heart and lung. [#25.1]
Visual-Patient-avatar takes some time getting used to; not entirely intuitive at first. [#29.2]
At the moment still difficult but with potential. [#38.1]
Numbers and ranks
JMIR Hum Factors 2022;9(1):e34677
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EQQUAL also employs another exciting innovation in digital tobacco treatment: an avatar guide designed to make the program more engaging and effective. The original avatar-led Flexiquit program (not sexual and gender minority–targeted) showed great promise in motivating cessation in a pilot randomized controlled trial with young adults in Cyprus, with a 29% posttreatment quit rate for Flexiquit versus 11% for the waitlist [7].
JMIR Form Res 2021;5(7):e30241
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