FITNESS WHILE TRAVELING
User Experience Research
Course: HCI 445- Inquiry Methods and User Analysis
Team Members: Vicky Moreira, Cathy Liewen, Laurie Penalber, Taylor Greene
To understand how travelers who exercise (three or more times per week) regularly stay committed to their exercise goals while traveling.
StormBoard.com, Old Saturated App, Qualtrics, Microsoft Word, Google Docs, Photoshop, and inDesign.
I collaborated with my team members to conduct research and analyses and ultimately report our findings in a deliverable.
Observations, interviews, and surveys
How do active travelers stay fit?
We first framed early ideas in order to generate the following wo hyphotheses:
H1: People who exercise more frequently are more likely to stay fit while traveling than people who exercise less frequently.For this hypothesis, we define “more frequently” as exercising at least 3 times per week and “less frequently” as exercising less than three times per week.
H2: People who put significant effort in preparing for a trip in advance are more likely to continue their exercise routine while traveling.
We first conducted five observations to understand how our target audience prepare for trips in order to stay active. We observed five participants pack for an upcoming trip.
To further investigate how people commit to exercise while traveling, we interviewed 5 participants.
Old Saturate App
Following our interviews, we completed our research with a survey to explore patterns in our previous findings. We also wanted to understand why people stay fit while traveling.
Using Stormboard.com, an online collaboration tool, we divided the information among five categories: pre-packing, fitness packing, general packing, nutrition, and fitness. After reviewing these categories, two strong themes emerged: planning and travel.
We created two personas to represent significant findings from our observations, interviews, and surveys.
EXPERIENCE MAP AND FEATURE MATRIX
The Feature Matrix below summarizes solutions, which can motivate users to exercise while traveling through a preparation plan, tracking features, and more. The feature list is ordered by priority and and is based on users experiences and feedback.
High-frequency exercises are more likely to stay fit while traveling than low-frequency exercisers.
High-frequency exercises are more likely to stay fit while traveling than low-frequency exercisers.Preparation is positively correlated with activity level while traveling (weak)
Making long-term commitments to fitness and healthBeing adaptable to new situations when travelingResearch location, fitness accommodations, and weatherBudget your timePack fitness-related items
Look into observing active travelers during their journey, instead of limiting our data to packing and preparation.
Investigate solutions to help travelers find their fitness needs (i.e., a fitness-focused hotel booking tool that details gym equipment/gear rental).
Whether or not travel negatively affects workout routines over timeWe initially wanted to look at nutrition, in addition to fitness.
People who work out are often health-conscious. Looking at their food choices would help improve our understanding of discipline and healthy habits while traveling.
Course Project: HCI 511 Accessibility and Design for Diverse Users