SLOWBot (chatbot) Lifestyle Assistant

Gabrielli, Silvia; Marie, Kate; Corte, Carolina Della

doi:10.1145/3240925.3240953

Cited by 12 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chatbots for promoting physical activity and a healthy diet are designed to achieve behavior change goals, such as walking for certain times and/or distances and following healthy meal plans [ 25 - 29 ]. Although no systematic review of chatbots for lifestyle modification programs has been published, there are several reviews on chatbots covering health care issues ranging from mental health support and smoking cessation to disease diagnosis [ 16 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Zhang¹,

Oh²,

Lange³

et al. 2020

J Med Internet Res

198

116

View full text Add to dashboard Cite

Background Chatbots empowered by artificial intelligence (AI) can increasingly engage in natural conversations and build relationships with users. Applying AI chatbots to lifestyle modification programs is one of the promising areas to develop cost-effective and feasible behavior interventions to promote physical activity and a healthy diet. Objective The purposes of this perspective paper are to present a brief literature review of chatbot use in promoting physical activity and a healthy diet, describe the AI chatbot behavior change model our research team developed based on extensive interdisciplinary research, and discuss ethical principles and considerations. Methods We conducted a preliminary search of studies reporting chatbots for improving physical activity and/or diet in four databases in July 2020. We summarized the characteristics of the chatbot studies and reviewed recent developments in human-AI communication research and innovations in natural language processing. Based on the identified gaps and opportunities, as well as our own clinical and research experience and findings, we propose an AI chatbot behavior change model. Results Our review found a lack of understanding around theoretical guidance and practical recommendations on designing AI chatbots for lifestyle modification programs. The proposed AI chatbot behavior change model consists of the following four components to provide such guidance: (1) designing chatbot characteristics and understanding user background; (2) building relational capacity; (3) building persuasive conversational capacity; and (4) evaluating mechanisms and outcomes. The rationale and evidence supporting the design and evaluation choices for this model are presented in this paper. Conclusions As AI chatbots become increasingly integrated into various digital communications, our proposed theoretical framework is the first step to conceptualize the scope of utilization in health behavior change domains and to synthesize all possible dimensions of chatbot features to inform intervention design and evaluation. There is a need for more interdisciplinary work to continue developing AI techniques to improve a chatbot’s relational and persuasive capacities to change physical activity and diet behaviors with strong ethical principles.

show abstract

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Zhang¹,

Oh²,

Lange³

et al. 2020

J Med Internet Res

198

116

View full text Add to dashboard Cite

show abstract

“…Another app is Weight Mentor, which provides self-help motivation for weight loss maintenance and allows for open conversation without being affected by emotions [ 47 ]. Health Hero (Health Hero, Inc), Tasteful Bot (Facebook, Inc), Forksy (Facebook, Inc), and SLOWbot (iaso heath, Inc) guide users to make informed decisions on food choices to change unhealthy eating habits [ 48 , 49 ]. The effectiveness of these apps cannot be concluded, as a more rigorous analysis of the development, evaluation, and implementation is required.…”

Section: Resultsmentioning

confidence: 99%

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

Xu¹,

Sanders²,

Li³

et al. 2021

JMIR Cancer

241

View full text Add to dashboard Cite

Background Chatbot is a timely topic applied in various fields, including medicine and health care, for human-like knowledge transfer and communication. Machine learning, a subset of artificial intelligence, has been proven particularly applicable in health care, with the ability for complex dialog management and conversational flexibility. Objective This review article aims to report on the recent advances and current trends in chatbot technology in medicine. A brief historical overview, along with the developmental progress and design characteristics, is first introduced. The focus will be on cancer therapy, with in-depth discussions and examples of diagnosis, treatment, monitoring, patient support, workflow efficiency, and health promotion. In addition, this paper will explore the limitations and areas of concern, highlighting ethical, moral, security, technical, and regulatory standards and evaluation issues to explain the hesitancy in implementation. Methods A search of the literature published in the past 20 years was conducted using the IEEE Xplore, PubMed, Web of Science, Scopus, and OVID databases. The screening of chatbots was guided by the open-access Botlist directory for health care components and further divided according to the following criteria: diagnosis, treatment, monitoring, support, workflow, and health promotion. Results Even after addressing these issues and establishing the safety or efficacy of chatbots, human elements in health care will not be replaceable. Therefore, chatbots have the potential to be integrated into clinical practice by working alongside health practitioners to reduce costs, refine workflow efficiencies, and improve patient outcomes. Other applications in pandemic support, global health, and education are yet to be fully explored. Conclusions Further research and interdisciplinary collaboration could advance this technology to dramatically improve the quality of care for patients, rebalance the workload for clinicians, and revolutionize the practice of medicine.

show abstract

“…Guides in making informed decisions around food choices to change unhealthy eating habits Health Hero [48] Guides in making informed decisions around food choices to change unhealthy eating habits Tasteful Bot [48] Guides in making informed decisions around food choices to change unhealthy eating habits Forksy [48] Guides in making informed decisions around food choices to change unhealthy eating habits SLOWbot [49]…”

Section: Healthy Eatingmentioning

confidence: 99%

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review (Preprint)

Chow¹,

Xu²

2021

Preprint

View full text Add to dashboard Cite

BACKGROUND Chatbot is a timely topic applied in various fields, including medicine and healthcare, for human-like knowledge transfer and communication. Machine learning (ML), a subset of artificial intelligence (AI), has been proven particularly applicable in healthcare with the ability for complex dialogue management and conversational flexibility. OBJECTIVE This review article reports on the recent advances and applications of chatbot technology in medicine. METHODS To provide a comprehensive background, a brief historical overview along with the developmental progress and design characteristics are first introduced. The focus will be in regards to cancer therapy with in-depth discussions and examples for diagnosis, treatment, monitoring, patient support, workflow efficiency, and health promotion. Similar with all forms of technology, risks and challenges will arise before their universal adoption in healthcare. Thus, this paper will explore limitations and areas of concern highlighting ethical, moral, security, technical, regulatory standards, and evaluation issues to explain the hesitancy of implementation. RESULTS Even after addressing these issues and establishing the safety or efficacy of chatbots, the human element in healthcare will not be replaceable. Therefore, chatbots have the potential to be integrated into clinical practice by working alongside health practitioners to reduce costs, refine workflow efficiencies, and improve patient outcomes. Other applications in pandemic support, global health, and education are yet to be fully explored. CONCLUSIONS Further research and interdisciplinary collaboration could advance this technology to dramatically improve the quality of care for patients, rebalance workload for clinicians, and revolutionize the practice of medicine.

show abstract

SLOWBot (chatbot) Lifestyle Assistant

Cited by 12 publications

References 5 publications

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review (Preprint)

Contact Info

Product

Resources

About