Digital health technology has been widely applied to mental health interventions worldwide. Using digital phenotyping to identify an individual\'s mental health status has become particularly important. However, many technologies other than digital phenotyping are expected to become more prevalent in the future. The systematization of these technologies is necessary to accurately identify trends in mental health interventions. However, no consensus on the technical classification of digital health technologies for mental health interventions has emerged. Thus, we conducted a review of systematic review articles on the application of digital health technologies in mental health while attempting to systematize the technology using the Delphi method. To identify technologies used in digital phenotyping and other digital technologies, we included 4 systematic review articles that met the inclusion criteria, and an additional 8 review articles, using a snowballing approach, were incorporated into the comprehensive review. Based on the review results, experts from various disciplines participated in the Delphi process and agreed on the following 11 technical categories for mental health interventions: heart rate estimation, exercise or physical activity, sleep estimation, contactless heart rate/pulse wave estimation, voice and emotion analysis, self-care/cognitive behavioral therapy/mindfulness, dietary management, psychological safety, communication robots, avatar/metaverse devices, and brain wave devices. The categories we defined intentionally included technologies that are expected to become widely used in the future. Therefore, we believe these 11 categories are socially implementable and useful for mental health interventions.

BACKGROUND: One in four Americans report experiencing harassment online via social media and interactive gaming, which includes physical threats, stalking, sexual harassment, and sustained harassment.
OBJECTIVE: The aim of this study was to gain understanding of the state of the science surrounding young adults and sexual violence/harassment harms in virtual reality (VR) as well as possible uses of VR to heal and intervene.
METHODS: A scoping review was conducted in early 2023 using the Ovid Synthesis Clinical Evidence Manager and the MEDLINE database. Forty-seven articles met inclusion criteria.
RESULTS: Our review found a growing body of evidence exploring incidents, effects, possible predictors, and initial strategies to prevent sexual violence in VR and to use the modality to positively intervene. Limited research addresses the effects of harms incurred in VR on (re)traumatization of survivors as well as the development and testing of VR tools used to educate, deliver bystander interventions, transform biases and perceptions via embodiment, and promote healing among survivors.
CONCLUSIONS: Research addressing sexual violence in VR is needed and should build on the existing peripheral science on gaming and social media environments. Forensic nursing is well positioned to advance strategies of health and safety in VR, just as in the physical world. Incorporating forensic nursing avatars in VR and deploying diverse resources targeted for college-age young adults to prevent harms in VR should be explored safely and ethically. Forensic nurses are also positioned to assess for VR-related harms among patients and to work with private and government sectors to influence regulations and policies.

A conversational agent powered by artificial intelligence, commonly known as a chatbot, is one of the most recent innovations used to provide information and services during the COVID-19 pandemic. However, the multitude of conversational agents explicitly designed during the COVID-19 pandemic calls for characterization and analysis using rigorous technological frameworks and extensive systematic reviews.
This study aims to describe the general characteristics of COVID-19 chatbots and examine their system designs using a modified adapted design taxonomy framework.
We conducted a systematic review of the general characteristics and design taxonomy of COVID-19 chatbots, with 56 studies included in the final analysis. This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to select papers published between March 2020 and April 2022 from various databases and search engines.
Results showed that most studies on COVID-19 chatbot design and development worldwide are implemented in Asia and Europe. Most chatbots are also accessible on websites, internet messaging apps, and Android devices. The COVID-19 chatbots are further classified according to their temporal profiles, appearance, intelligence, interaction, and context for system design trends. From the temporal profile perspective, almost half of the COVID-19 chatbots interact with users for several weeks for >1 time and can remember information from previous user interactions. From the appearance perspective, most COVID-19 chatbots assume the expert role, are task oriented, and have no visual or avatar representation. From the intelligence perspective, almost half of the COVID-19 chatbots are artificially intelligent and can respond to textual inputs and a set of rules. In addition, more than half of these chatbots operate on a structured flow and do not portray any socioemotional behavior. Most chatbots can also process external data and broadcast resources. Regarding their interaction with users, most COVID-19 chatbots are adaptive, can communicate through text, can react to user input, are not gamified, and do not require additional human support. From the context perspective, all COVID-19 chatbots are goal oriented, although most fall under the health care application domain and are designed to provide information to the user.
The conceptualization, development, implementation, and use of COVID-19 chatbots emerged to mitigate the effects of a global pandemic in societies worldwide. This study summarized the current system design trends of COVID-19 chatbots based on 5 design perspectives, which may help developers conveniently choose a future-proof chatbot archetype that will meet the needs of the public in the face of growing demand for a better pandemic response.

There is a lack of studies to determine if avatar-based protocols could be considered an efficient and accurate strategy to improve psychological well-being in oncology patients, even though it represents a growing field of research. To the best of our knowledge, this is the first systematic review addressing the effectiveness of avatar-based treatments to enhance quality of life (QoL) and psychological well-being in breast cancer patients. The purpose of this study was to review the scientific literature of those studies involving avatar-based technology and breast cancer patients in order to answer the following questions. (1) Are avatar-based strategies useful to im-prove QoL and psychological well-being (anxiety and depression symptoms) in breast cancer patients? (2) Which is the best way to develop avatar-based protocols for breast cancer patients? We conducted a systematic review of the peer-reviewed literature from EBSCO, Ovid, PubMed, Scopus, and Web of Science (WOS), following the PRISMA statements and using \"avatar + breast cancer\" or \"avatar + cancer\" as keywords. Studies which were published in either English or Spanish and which addressed QoL and psychological well-being in breast cancer patients were reviewed. The results will contribute to developing innovative avatar-based strategies focused on breast cancer patients.

As an artificial space extended from the physical environment, the virtual environment (VE) provides more possibilities for humans to work and be entertained with less physical restrictions. Benefiting from anonymity, one of the important features of VEs, users are able to receive visual stimuli that might differ from the physical environment through digital representations presented in VEs. Avatars and contextual cues in VEs can be considered as digital representations of users and contexts. In this article, we analyzed 21 articles that examined the creativity-boosting effects of different digital user and contextual representations. We summarized the main effects induced by these two digital representations, notably the effect induced by the self-similar avatar, Proteus effect, avatar with Social Identity Cues, priming effect induced by contextual representation, and embodied metaphorical effect. In addition, we examined the influence of immersion on creativity by comparing non-immersive and immersive VEs (i.e., desktop VE and headset VE, respectively). Last, we discussed the roles of embodiment and presence in the creativity in VEs, which were overlooked in the past research.

BACKGROUND: Telecare can be an effective way to deliver healthcare to patients\' homes. Avatar or virtual agent-equipped technologies have the potential to increase user engagement and adherence to telecare. This study aimed to identify telecare interventions assisted by avatars/virtual agents, reflect the concepts of telecare and give an overview on its outcomes.
METHODS: A scoping review guided by the PRISMA-ScR checklist was conducted. MEDLINE, CINAHL, PsycINFO and grey literature were searched through 12 July 2022. Studies were included if patients were remotely cared for by healthcare professionals and received telecare interventions assisted by avatars/virtual agents in their homes. Studies underwent quality appraisal, and were synthesized along the dimensions \'study characteristics\', \'intervention\' and \'outcomes\'.
RESULTS: Out of 535 records screened, 14 studies were included, reporting the effects of avatar/virtual agent-assisted telecare interventions, tailored to specific patient groups. Telecare interventions mainly focused on teletherapy and telemonitoring. Telecare services were rehabilitative, preventive, palliative, promotive and curative. Modes of communication were asynchronous, synchronous or a mix of both. Tasks of the implemented avatars/virtual agents comprised delivering health interventions, monitoring, assessment, guidance and strengthening agency. Telecare interventions led to improved clinical outcomes and higher adherence. Most studies reported sufficient system usability and high satisfaction among participants.
CONCLUSIONS: Telecare interventions were overall target group related and integrated in a service model. This combined with the use of avatars and virtual agents leads to improved adherence to telecare in the home setting. Further studies could account for relatives\' experiences with telecare.

To our knowledge, no systematic reviews have examined the effectiveness of virtual reality (VR) interventions across all smoking, nutrition, alcohol, physical activity, and/or obesity (SNAPO) risk factors. This systematic review assessed the effectiveness of VR interventions on reducing SNAPO risks compared to control groups or other interventions. MEDLINE, EMBASE, Scopus, PsycINFO, and CENTRAL were searched to identify eligible studies published to 7 October 2021. Two reviewers independently completed screening, data extraction and quality assessment. Twenty-six studies were included, five on smoking, twelve on physical activity (PA), six on obesity, one on PA and obesity, one on obesity and nutrition, and one on obesity, nutrition and PA. VR was effective for smoking cessation in three studies and for smoking reduction in four studies. Seven studies had significantly higher PA in the VR group, and one study found significantly higher PA in a comparator group. Two studies showed VR was more effective at reducing BMI or weight than comparators. Three multiple health risks studies showed mixed results. The remaining studies found no significant difference between VR and control/comparators. VR appears promising for the treatment of smoking, nutrition, PA, and obesity risks; however, further randomised trials are needed.

This article presents VoicingHan project as a new form of life-review mediated by digital avatars promoting the reconstruction of self and identity through performativity. Whereas traditional life-review uses interview as primary means of the therapeutic process, VoicingHan is mediated by virtual bodies with self-guided participation in one\'s own life stories through embodied storytelling performance. VoicingHan enrolled 12-patients receiving outpatient palliative care at VCU Massey cancer center. The storytelling performances were recorded via avatar video format and distributed to participants for review and/or sharing. The present study considered the avatar videos as qualitative data emerging from these individually constructed life review narratives. In this article, the benefits of VoicngHan life-review were demonstrated by analyzing the avatar video narratives, based on theoretical and developmental frameworks. Through the lens of Social Constructivism, this qualitative study deepens our understanding of human-avatar interactions to engage life review process, within the liminal space of life-threatening illnesses.

The high demand for health care services and the growing capability of artificial intelligence have led to the development of conversational agents designed to support a variety of health-related activities, including behavior change, treatment support, health monitoring, training, triage, and screening support. Automation of these tasks could free clinicians to focus on more complex work and increase the accessibility to health care services for the public. An overarching assessment of the acceptability, usability, and effectiveness of these agents in health care is needed to collate the evidence so that future development can target areas for improvement and potential for sustainable adoption.
This systematic review aims to assess the effectiveness and usability of conversational agents in health care and identify the elements that users like and dislike to inform future research and development of these agents.
PubMed, Medline (Ovid), EMBASE (Excerpta Medica dataBASE), CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science, and the Association for Computing Machinery Digital Library were systematically searched for articles published since 2008 that evaluated unconstrained natural language processing conversational agents used in health care. EndNote (version X9, Clarivate Analytics) reference management software was used for initial screening, and full-text screening was conducted by 1 reviewer. Data were extracted, and the risk of bias was assessed by one reviewer and validated by another.
A total of 31 studies were selected and included a variety of conversational agents, including 14 chatbots (2 of which were voice chatbots), 6 embodied conversational agents (3 of which were interactive voice response calls, virtual patients, and speech recognition screening systems), 1 contextual question-answering agent, and 1 voice recognition triage system. Overall, the evidence reported was mostly positive or mixed. Usability and satisfaction performed well (27/30 and 26/31), and positive or mixed effectiveness was found in three-quarters of the studies (23/30). However, there were several limitations of the agents highlighted in specific qualitative feedback.
The studies generally reported positive or mixed evidence for the effectiveness, usability, and satisfactoriness of the conversational agents investigated, but qualitative user perceptions were more mixed. The quality of many of the studies was limited, and improved study design and reporting are necessary to more accurately evaluate the usefulness of the agents in health care and identify key areas for improvement. Further research should also analyze the cost-effectiveness, privacy, and security of the agents.
RR2-10.2196/16934.

Background: Life review, a narrative-based intervention, helps individuals organize memories into a meaningful whole, providing a balanced view of the past, present, and future. Examining how the content of memories contributes to life\'s meaning improves some clinical outcomes for oncology patients. Combining life review with other modalities may enhance therapeutic efficacy. We hypothesized a life review intervention might be enhanced when combined with a kinetic, digital representation (avatar) chosen by the patient. Our goal was to determine the feasibility of an avatar-based intervention for facilitating life review in patients with advanced cancer. Methods: We conducted an observational, feasibility trial in a supportive care clinic. Motion capture technology was used to synchronize voice and movements of the patient onto an avatar in a virtual environment. Semistructured life review questions were adapted to the stages of child, teenager, adult, and elder. Outcome measures included adherence, recruitment, comfort of study procedure, patients\' perceived benefits, and ability to complete questionnaires, including the Edmonton Symptom Assessment System (ESAS) and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale (FACIT-Sp). Results: Seventeen patients were approached, with 11/12 completing the intervention. The total visit time of a single intervention averaged 67 minutes. The post-intervention survey found all patients agreed or strongly agreed (Likert Scale 1-5) they would participate again, would recommend it to others, and found the experience beneficial. After one month, ESAS scores were either unchanged or improved in 80% of patients. Conclusion: An avatar-facilitated life review was feasible with a high rate of adherence, completion, and acceptability by patients. The findings support the need for a clinical trial to test the efficacy of this novel intervention. Clinical Trial Number NCT03996642.