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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Exploring Obese Adults' Preferences for a Physical Activity Chatbot: Qualitative Study.

Dillys Larbi1,2, Rolf Wynn2, Eirik Årsand1,3

  • 1Norwegian Centre for E-Health Research, Tromsø, Norway.

Studies in Health Technology and Informatics
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Social media chatbots show promise for increasing physical activity in obese adults. This study explores user preferences to develop effective chatbot interventions for behavior change.

Keywords:
ChatbotObesityPhysical activityQualitative researchSocial media

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Area of Science:

  • Health Technology
  • Behavioral Science
  • Obesity Research

Background:

  • Obesity is a significant public health concern requiring innovative interventions.
  • Digital health solutions, like chatbots, offer scalable approaches to promote behavior change.
  • Understanding user preferences is crucial for designing effective health technology.

Purpose of the Study:

  • To explore preferences of obese adults for a social media physical activity chatbot.
  • To gather insights for developing a chatbot that motivates increased physical activity.
  • To inform the design of user-centered digital interventions for obesity management.

Main Methods:

  • Qualitative study employing individual and focus group interviews.
  • Interviews conducted with obese adults to understand their needs and preferences.
  • Pilot testing of the interview guide to ensure data quality.

Main Results:

  • Preferences for chatbot features, content, and interaction styles will be identified.
  • Key motivators and barriers to physical activity engagement via chatbots will be elucidated.
  • Data will directly inform the iterative development of a physical activity chatbot.

Conclusions:

  • Social media chatbots represent a potential tool to enhance physical activity in obese populations.
  • User-centered design, informed by participant preferences, is essential for chatbot efficacy.
  • This research will contribute to the development of novel digital health strategies for obesity.