Using Avatars to Model Weight Loss Behaviors: Participant Attitudes and Technology Development

Napolitano, Melissa A.; Hayes, Sharon; Russo, Giuseppe; Muresu, Debora; Giordano, Antonio; Foster, Gary D.

doi:10.1177/193229681300700430

Cited by 44 publications

(51 citation statements)

References 49 publications

(74 reference statements)

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“…Additional hand review of these articles produced two more articles for consideration, for a total of 28 articles reviewed. Authors CYO and CRL excluded one of these articles because the technology-based solution was not designed specifically for people with diabetes, per se, and was therefore not tested with that user group [8]. These authors then excluded three more articles because the technology-based solution collected and transmitted patient data to providers (i.e., telemonitoring) without offering either a patient-facing component that allowed patients to track self-care or a close-looped system in which patient data was then used to educate or provide patients with self-care support [9–11].…”

Section: Methodsmentioning

confidence: 99%

Getting a Technology-Based Diabetes Intervention Ready for Prime Time: a Review of Usability Testing Studies

2014

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Consumer health technologies can educate patients about diabetes and support their self-management, yet usability evidence is rarely published even though it determines patient engagement, optimal benefit of any intervention, and an understanding of generalizability. Therefore, we conducted a narrative review of peer-reviewed articles published from 2009–2013 that tested the usability of a web- or mobile-delivered system/application designed to educate and support patients with diabetes. Overall, the 23 papers included in our review used mixed (n=11), descriptive quantitative (n=9), and qualitative methods (n=3) to assess usability, such as documenting which features performed as intended and how patients rated their experiences. More sophisticated usability evaluations combined several complementary approaches to elucidate more aspects of functionality. Future work pertaining to the design and evaluation of technology-delivered diabetes education/support interventions should aim to standardize the usability testing processes, and publish usability findings to inform interpretation of why an intervention succeeded or failed, and for whom.

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Section: Methodsmentioning

confidence: 99%

Getting a Technology-Based Diabetes Intervention Ready for Prime Time: a Review of Usability Testing Studies

2014

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“…Previously, VR interventions primarily involved delivery of traditional face-to-face treatment in a virtual environment with group leaders and patients attending and participating in avatar form. 10,11 The avatars were customized with a patient's appearance to demonstrate basic weight management behaviors (eg, walking on a treadmill at medium intensity), 9 or using VR as an adjunct to face-to-face treatment to reinforce skills training and change weightrelated cognitions. 13 Because the ES system is automated, requires no special equipment (eg, goggles), and is designed for web-based delivery, it may someday be possible to provide experiential training in weight management skills to large numbers of patients at low cost via technology they already own (eg, PCs, tablets, smartphones).…”

Section: Discussionmentioning

confidence: 99%

“…7,8 A few early studies showed that VR could be used for these purposes, but most relied on a human counselor to guide the experience, thus limiting their reach and increasing cost. [9][10][11] The goal of the Experience Success (ES) project was to develop a system for creating and deploying automated VR scenarios for online training in BWL skills, and collect feedback from test users with an initial social eating scenario.…”

Section: Obesity Technologymentioning

confidence: 99%

Development of and Feedback on a Fully Automated Virtual Reality System for Online Training in Weight Management Skills

Thomas

Spitalnick

Hadley

et al. 2014

J Diabetes Sci Technol

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Virtual reality (VR) technology can provide a safe environment for observing, learning, and practicing use of behavioral weight management skills, which could be particularly useful in enhancing minimal contact online weight management programs. The Experience Success (ES) project developed a system for creating and deploying VR scenarios for online weight management skills training. Virtual environments populated with virtual actors allow users to experiment with implementing behavioral skills via a PC-based point and click interface. A culturally sensitive virtual coach guides the experience, including planning for real-world skill use. Thirty-seven overweight/obese women provided feedback on a test scenario focused on social eating situations. They reported that the scenario gave them greater skills, confidence, and commitment for controlling eating in social situations.

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“…Studies in the area have shown that users have a better understanding of how their choices can affect their health, leading to changes in behavior and having an impact on obesity, for instance. Also, studies that assess the use of new technologies by elderly people reveal that this population is also capable of learning how to use these resources, with positive effects on cognition and quality of life [11][12][13].…”

Section: Texto Em Portuguêsmentioning

confidence: 99%

“…Estudos na área tem mostrado que os usuários entendem melhor como as escolhas podem afetar a sua saúde, resultando em modificação de comportamentos e tendo impacto sobre a obesidade, por exemplo. Ainda, estudos que avaliam o uso das novas tecnologias pelos idosos mostram que essa população também tem condições de assimilar o uso desses recursos, inclusive com efeitos positivos na cognição e na qualidade de vida [11][12][13].…”

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Intervenções tecnológicas na síndrome metabólica: novos rumos para os profissionais da saúde

Feóli

Gottlieb

2016

Sci Med

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Este artigo está licenciado sob forma de uma licença Creative Commons Atribuição 4.0 Internacional, que permite uso irrestrito, distribuição e reprodução em qualquer meio, desde que a publicação original seja corretamente citada. RESUMONas últimas décadas, as mudanças no perfil epidemiológico das populações e o surgimento e aprimoramento de novas tecnologias têm culminado em estratégias diversificadas de atenção à saúde. Na prevenção e no manejo da síndrome metabólica, intervenções com abordagem interdisciplinar por profissionais das áreas da saúde já vêm mostrando resultados relevantes. Além disso, diversos recursos tecnológicos surgem agora como aliados de profissionais e pacientes na busca por melhor qualidade de vida e redução dos desfechos adversos dessa condição clínica tão prevalente. Contudo, o cenário atual das tecnologias em saúde traz consigo desafios adicionais em termos de interdisciplinaridade, já que aproxima campos heterogêneos (saúde, informática e comunicação). Assim, cabe a pergunta: estamos preparados para lidar com essas novas formas de intervenção em saúde?DESCRITORES: síndrome X metabólica; tecnologia; gestão de ciência, tecnologia e inovação em saúde; comunicação interdisciplinar. ABSTRACTIn recent decades, changes in the epidemiological profile of populations and the development and improvement of new technologies have given rise to several strategies targeted at healthcare. In the prevention and management of metabolic syndrome, interdisciplinary interventions by health professionals have already yielded relevant results. Besides this, several technological resources now emerged as a staunch ally of professionals and patients in the quest for better quality of life and reduction of the adverse outcomes of this highly prevalent clinical condition. Notwithstanding, the present health technology scenario takes on additional challenges in terms of interdisciplinarity, as it involves heterogeneous fields of knowledge (health, computer science, and communication). So, the question is: are we prepared to handle these new forms of health intervention?KEY WORDS: metabolic syndrome X; health sciences, technology and innovation management; interdisciplinary communication. [Full English text after the Portuguese text]

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Using Avatars to Model Weight Loss Behaviors: Participant Attitudes and Technology Development

Abstract: Abbreviations: (BMI) body mass index, (SD) standard deviation, (VR) virtual realityKeywords: eating behavior, exercise behavior, intervention, models, obesity, overweight

Cited by 44 publications

References 49 publications

Getting a Technology-Based Diabetes Intervention Ready for Prime Time: a Review of Usability Testing Studies

Getting a Technology-Based Diabetes Intervention Ready for Prime Time: a Review of Usability Testing Studies

Development of and Feedback on a Fully Automated Virtual Reality System for Online Training in Weight Management Skills

Intervenções tecnológicas na síndrome metabólica: novos rumos para os profissionais da saúde

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