University of St. Gallen
Sankt Gallen, 9000, Switzerland
NCT Number: NCT04505124
This study is a randomized controlled trial (RCT) which investigates the effect of a Future-Self Avatar intervention (FutureMe App) on physical activity (PA) and nutrition. The Health Action Process Approach (HAPA) and principles from consumer behavior theory were used to guide the development of the intervention.
The study investigates the impact of avatar-based interventions on PA and food purchasing behavior and aims to understand if avatars can help increase the stand-alone effectiveness of mHealth interventions.
Looking for future studies?
Notify Me18 year and older
All sexes
Interventional
Not applicable
Sankt Gallen, 9000, Switzerland
Consumer behavior is a key determinant for chronic disease risk. Mobile health (mHealth) technologies are promising in addressing the rise in risky lifestyle behaviors, as they can be leveraged in large population samples without high human resource or monetary requirements. However, research shows that mHealth technologies are less effective when used stand-alone, meaning without intervention components that require human to human interaction. Leveraging virtual reality in mHealth applications could help increase their stand-alone effectiveness.
Building on behavioral biases, and the health-action-process approach (HAPA), this trial investigates the use of a future-self avatar smartphone intervention (FutureMe app) on consumers' physical activity and food purchasing behavior. A 12-week field experiment aims to show that avatar-based health applications can support behavior change towards more active lifestyles and healthier food choices.
The FutureMe trial has the following objectives:
The study participants recruitment process is supported by a large Swiss health insurance company. The insurer only provides access to potential study participants and is not involved in the design or execution of the study. The insurer has no access to participant study data. Participants are randomized into two groups and either receive the innovative FutureMe intervention or a control intervention consisting of a more conventional nutrition and physical activity tracking app (numeric feedback). Participants will download the respective apps to their personal mobile phone.
Step counts and food purchasing data is collected continuously throughout the trial. The respective psychological constructs (see outcome overview) are collected at baseline and after 12 weeks (end of intervention) via an online questionnaire.
The results of this study enable the evidence-based development of scalable interventions for sustainable physical activity and nutrition behavior change and advance the understanding of the psychological processes behind health behavior change.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The FutureMe app provides visual and consequential feedback through a future-self avatar, meaning that the avatar changes its body shape and some additional characteristics based on the participants' activity and food purchasing behaviors. The app tracks participants physical activity behavior (steps) by means of their smartphone (integration to GoogleFit and AppleHealth) and motivates them to increase their step counts. The app also connects to participants' grocery loyalty cards to evaluate their food shopping behavior leveraging the Nutri-score concept. The app motivates participants to improve their food purchases through concrete shopping tips provided in-app.
The Control Conventional Tracking app provides numeric and factual feedback through conventional data-dashboards. The app tracks participants physical activity behavior (steps) by means of their smartphone (integration to GoogleFit and AppleHealth) and motivates them to increase their step counts. The app also connects to participants' grocery loyalty cards to evaluate their food shopping behavior leveraging the Nutri-score concept. The app motivates participants to improve their food purchases through concrete shopping tips provided in-app.
Time frame: 12 weeks
Steps will be measured daily via the GoogleFit or Apple Health application using the Smartphone's built-in accelerometer.
Time frame: 12 weeks
Nutri-Score calculated based on total food purchases; Minimum Value: -15 (A=Very Good), Maximum Value: 40 (E=Very Bad). Nutriscore will be measured by shopping basket, continuously over 12 weeks.
Time frame: 12 weeks
Salt in grams (g) per 100g food purchases (based on loyalty card data). Salt purchases will be measured by shopping basket, continuously over 12 weeks.
Time frame: Continuous measurement during study (12 weeks)
Proteins in grams (g) per 100g food purchases (based on loyalty card data). Protein purchases will be measured by shopping basket, continuously over 12 weeks.
Time frame: Continuous measurement during study (12 weeks)
Fibers in grams (g) per 100g food purchases (based on loyalty card data). Fiber purchases will be measured by shopping basket, continuously over 12 weeks.
Time frame: Continuous measurement during study (12 weeks)
Saturated Fats in grams (g) per 100g food purchases (based on loyalty card data). Saturated fat purchases will be measured by shopping basket, continuously over 12 weeks.
Time frame: 12 weeks from beginning to end of intervention
Number of app openings during 12 week intervention period. App openings will be measured daily directly via tracking mechanisms in the app.
Time frame: 12 weeks from beginning to end of intervention
Time spent in app measured in seconds during 12 week intervention period. Time spent in app will be measured daily directly via tracking mechanisms in the app.
Time frame: 12 weeks
Fruits and Vegetables in grams (g) per 100g food purchases (based on loyalty card data). Fruit and Vegetable purchases will be measured by shopping basket, continuously over 12 weeks.
Time frame: 12 weeks
Sugar in grams (g) per 100g food purchases (based on loyalty card data). Sugar purchases will be measured by shopping basket, continuously over 12 weeks.
Time frame: 12 weeks
Motivational Self-Efficacy scale adjusted from Schwarzer et al. 2007; Minimum Value: 1 (totally disagree), Maximum Value: 7 (totally agree)
Time frame: 12 weeks
Recovery Self-Efficacy scale adjusted from Schwarzer et al. 2007; Minimum Value: 1 (totally disagree), Maximum Value: 7 (totally agree)
Time frame: 12 weeks
Perceived behavior-related control scale adjusted from Renner and Schwarzer, 2005; Minimum Value: 1 (totally disagree), Maximum Value: 7 (totally agree)
Time frame: 12 weeks
Treatment Self-Regulation Questionnaire (TSRQ); Minimum Value: 1 (totally disagree), Maximum Value: 7 (totally agree)
Time frame: 12 weeks
Treatment Self-Regulation Questionnaire (TSRQ); Minimum Value: 1 (totally disagree), Maximum Value: 7 (totally agree)
Annette Mönninghoff
Other
The Effect of a Future-Self Avatar mHealth Intervention on Physical Activity and Nutrition: the FutureMe Randomized Controlled Trial
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06967714
Behavior, Healthy
Brussels, Belgium
View Trial DetailsNCT07276464
Behavior, Colitis
Bruz, Britanny, France
View Trial DetailsNCT03886558
Aging, Behavior
Pontevedra, Spain
View Trial DetailsNCT03876314
Alzheimer Disease, Behavior
Greensboro, North Carolina, United States
View Trial Details