Toward Health Information Technology that Supports Overweight/Obese Women in Addressing Emotion- and Stress-Related Eating

Barbarin, Andrea; Saslow, Laura R.; Ackerman, Mark S.; Veinot, Tiffany C.

doi:10.1145/3173574.3173895

Cited by 20 publications

(4 citation statements)

References 46 publications

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“…Setting personalized and realistic self-tracking goals and showing progress towards those goals can help encourage healthy behaviors (e.g., [21,22,63]). However, current tools often fail to support the personalized and evolving goals individuals want to pursue [8,52,55]. Gulotta et al found current tools generally fail to support setting, pursuing, reflecting on, and modifying goals [37].…”

Section: Self-tracking and Healthmentioning

confidence: 99%

“…Individuals may also have different goals for condition management, depending on their habits, priorities, behaviors, experiences, and approaches. For example, a study with overweight and obese women found a need for tools to support personalized goals rather than emphasizing weight loss (e.g., more energy, better stamina, consistent exercise routines, myriad definitions of healthier eating) [8]. We investigate how explicit support for defining, pursuing, and lapsing in tracking towards personalized goals can better facilitate an individual's condition management.…”

Section: Self-tracking and Healthmentioning

confidence: 99%

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Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management

Schroeder

Karkar

Murinova

et al. 2019

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Although self-tracking offers potential for a more complete, accurate, and longer-term understanding of personal health, many people struggle with or fail to achieve their goals for health-related self-tracking. This paper investigates how to address challenges that result from current self-tracking tools leaving a person's goals for their data unstated and lacking explicit support. We examine supporting people and health providers in expressing and pursuing their tracking-related goals via goal-directed self-tracking, a novel method to represent relationships between tracking goals and underlying data. Informed by a reanalysis of data from a prior study of migraine tracking goals, we created a paper prototype to explore whether and how goal-directed self-tracking could address current disconnects between the goals people have for data in their chronic condition management and the tools they use to support such goals. We examined this prototype in interviews with 14 people with migraine and 5 health providers. Our findings indicate the potential for scaffolding goal-directed self-tracking to: 1) elicit different types and hierarchies of management and tracking goals; 2) help people prepare for all stages of self-tracking towards a specific goal; and 3) contribute additional expertise in patient-provider collaboration. Based on our findings, we present implications for the design of tools that explicitly represent and support an individual's specific self-tracking goals.

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Section: Self-tracking and Healthmentioning

confidence: 99%

Section: Self-tracking and Healthmentioning

confidence: 99%

Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management

Schroeder

Karkar

Murinova

et al. 2019

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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“…However, recent studies have shown that this level of personalization is insufficient to sustain weight loss behavior change and that some form of emotional support is required [ 56 ]. This is because of the common weight loss–related experiences of stigmatization, self-loathing, and social shaming, which evoke negative emotions such as guilt, shame, self-reproach, regret, depression, anxiety, low self-esteem, and stress [ 47 , 57 , 58 ]. Such negative emotions could also create a vicious cycle of increasing weight gain, as one copes with such negative emotions by seeking comfort in food.…”

Section: Discussionmentioning

confidence: 99%

The Use of Artificial Intelligence–Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations

Chew¹

2022

JMIR Med Inform

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Background Overweight and obesity have now reached a state of a pandemic despite the clinical and commercial programs available. Artificial intelligence (AI) chatbots have a strong potential in optimizing such programs for weight loss. Objective This study aimed to review AI chatbot use cases for weight loss and to identify the essential components for prolonging user engagement. Methods A scoping review was conducted using the 5-stage framework by Arksey and O’Malley. Articles were searched across nine electronic databases (ACM Digital Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO, PubMed, Scopus, and Web of Science) until July 9, 2021. Gray literature, reference lists, and Google Scholar were also searched. Results A total of 23 studies with 2231 participants were included and evaluated in this review. Most studies (8/23, 35%) focused on using AI chatbots to promote both a healthy diet and exercise, 13% (3/23) of the studies used AI chatbots solely for lifestyle data collection and obesity risk assessment whereas only 4% (1/23) of the studies focused on promoting a combination of a healthy diet, exercise, and stress management. In total, 48% (11/23) of the studies used only text-based AI chatbots, 52% (12/23) operationalized AI chatbots through smartphones, and 39% (9/23) integrated data collected through fitness wearables or Internet of Things appliances. The core functions of AI chatbots were to provide personalized recommendations (20/23, 87%), motivational messages (18/23, 78%), gamification (6/23, 26%), and emotional support (6/23, 26%). Study participants who experienced speech- and augmented reality–based chatbot interactions in addition to text-based chatbot interactions reported higher user engagement because of the convenience of hands-free interactions. Enabling conversations through multiple platforms (eg, SMS text messaging, Slack, Telegram, Signal, WhatsApp, or Facebook Messenger) and devices (eg, laptops, Google Home, and Amazon Alexa) was reported to increase user engagement. The human semblance of chatbots through verbal and nonverbal cues improved user engagement through interactivity and empathy. Other techniques used in text-based chatbots included personally and culturally appropriate colloquial tones and content; emojis that emulate human emotional expressions; positively framed words; citations of credible information sources; personification; validation; and the provision of real-time, fast, and reliable recommendations. Prevailing issues included privacy; accountability; user burden; and interoperability with other databases, third-party applications, social media platforms, devices, and appliances. Conclusions AI chatbots should be designed to be human-like, personalized, contextualized, immersive, and enjoyable to enhance user experience, engagement, behavior change, and weight loss. These require the integration of health metrics (eg, based on self-reports and wearable trackers), personality and preferences (eg, based on goal achievements), circumstantial behaviors (eg, trigger-based overconsumption), and emotional states (eg, chatbot conversations and wearable stress detectors) to deliver personalized and effective recommendations for weight loss.

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“…Watching and Emotional Adjustment Eating has often been considered as a way to relieve stress [40]. Some of our participants watched foodshow to relieve stress while avoiding the risk of gaining weight.…”

Section: Foodshowmentioning

confidence: 99%

"I Prefer an Everyday Style and Dislike Big Food Fighters": Integrating Foodshow into Everyday Life

Zhou¹,

Ding²,

Tang³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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In this paper, we examine a genre of User Generated Videos (UGV) centering around food which we term "foodshow". While Korean mukbang 1 features streamers eat large quantities of food, foodshow features mundane activities in life. Toward understanding unique watching practices of foodshow given its difference from mukbang, we interviewed 12 foodshow viewers in China, uncovering active and life-oriented watching of foodshow -viewers actively choose and watch foodshow which walks a fine line between authenticity and attractiveness, reflecting everyday existence and involving moderate performance at the same time. With these unique features, foodshow watching is integrated into viewers' daily life, and helps in eating, sleeping, and emotional adjustment, in addition to entertainment. Based on the findings, we suggest design implications for healthier and more beneficial foodshow.

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Toward Health Information Technology that Supports Overweight/Obese Women in Addressing Emotion- and Stress-Related Eating

Cited by 20 publications

References 46 publications

Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management

Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management

The Use of Artificial Intelligence–Based Conversational Agents (Chatbots) for Weight Loss: Scoping Review and Practical Recommendations

"I Prefer an Everyday Style and Dislike Big Food Fighters": Integrating Foodshow into Everyday Life

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