Department of Computer Science at UH

University of Houston

Department of Computer Science

In Partial Fulfillment of the Requirements for the Degree of
Master of Science

Ashik Khatri

Will defend his thesis


Effects of Prescriptive Design on the Usage of a Walking App

Abstract

Walking is the most ubiquitous physical activity. Natural walking opportunities, however, have been declining in developed societies. This decline has been linked to the rise of obesity. iPhone and Android 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 overwhelm the user with information and promote user competition.

In this thesis, we present a walking app design that is antithetical to the main trends. This new design is based on minimalism, where targets are set in a prescriptive manner and competition takes a secondary role. Specifically, the app gives to the user a daily caloric goal to consume via walking. 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 authoritative directions conveyed with single-minded simplicity have better chance than prevailing methods to keep the user engaged. Results from a comparative study render support to this hypothesis.

 

Date: Monday, April 20, 2015
Time: 12:00 PM
Place: HBS 302

Faculty, students, and the general public are invited.
Advisor: Prof. Ioannis Pavlidis