Walking is the most ubiquitous physical activity. Natural walking and other physical activity opportunities, however, have been declining in developed societies. This decline has been linked to the rise of obesity. Smartphone health and fitness apps aim to reverse this trend by motivating people to be more physically active. The core philosophy in many of these applications is to either promote user competition or set universal goals and overwhelm the user with information. We present a physical activity app design that is closer to a goal oriented approach but with a twist. This new design is based on minimalism, where simple targets are set in a personalized manner and social comparison takes a secondary role. Specifically, the app gives to the user a daily caloric goal to consume by walking or biking. The formula that computes this goal is based on the user's food intake, Basal Metabolic Rate (BMR), and Body Mass Index (BMI). Our hypothesis is that methods emphasizing simple and precise personalized directions have better chance than pure competition methods to keep users engaged. Results from a pilot comparative study render initial support to this hypothesis.

Effects of simple personalized goals on the usage of a physical activity app

Tsiamyrtzis P.;
2016-01-01

Abstract

Walking is the most ubiquitous physical activity. Natural walking and other physical activity opportunities, however, have been declining in developed societies. This decline has been linked to the rise of obesity. Smartphone health and fitness apps aim to reverse this trend by motivating people to be more physically active. The core philosophy in many of these applications is to either promote user competition or set universal goals and overwhelm the user with information. We present a physical activity app design that is closer to a goal oriented approach but with a twist. This new design is based on minimalism, where simple targets are set in a personalized manner and social comparison takes a secondary role. Specifically, the app gives to the user a daily caloric goal to consume by walking or biking. The formula that computes this goal is based on the user's food intake, Basal Metabolic Rate (BMR), and Body Mass Index (BMI). Our hypothesis is that methods emphasizing simple and precise personalized directions have better chance than pure competition methods to keep users engaged. Results from a pilot comparative study render initial support to this hypothesis.
2016
Conference on Human Factors in Computing Systems - Proceedings
9781450340823
Energy expenditure; Obesity; Personalized goal; Physical activity monitoring; Social competition; Walking app; Weight loss
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1116505
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