As indicated by the E.U. [1], in the western countries the increase of the aging population is an issue. Even though we live longer, the sedentary lifestyle and unhealthy habits the modern way of living promotes, leads to chronic diseases. Aging healthily requires early behavior change. However, behavior change is difficult, probably because it is not easy to see the results of the change which is to sustain our health. It is difficult to evaluate any kind of progress if there is not any point of comparison [2]. Thus, the visualization of our data in relation to others, can not only promote competition but also cooperation and support. That can be used as a motivating factor in behavior change. There are many technological applications using social influence to motivate people to change and sustain habits. However, design guidelines are missing on how these applications can implement social influence focused on showing the relationship between an individual’s data and that of others. Design guidelines for IT applications that promote health behavior change through social influence focused on visualization of the relation between the data of an individual and that of others. Vasiliki Mylonopoulou ESR6 This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 676201 Research Outline Literature review: Investigation on how technology has been designed to support behavior change by visualizing the relation between the data of an individual and that of others. F ield research: Through a short scale study, which will use quantitative, and qualitative data collected with diaries and interviews, it will be understood which data the users are interested in. Interviews with practitioners who work in the design process of healthcare applications will give a broader view on how the design teams rationalize around the social features. Through action research in the Spanish company Salumedia Technologies, the way design teams work on creating healthcare applications will be investigated. Knowledge will be transferred to the health field from the field of environmental sustainability by following the design process of an ecological behavior change application through action research. Expected Outcomes Design guidelines for IT health behavior change applications will be created by combining the previous five points. The guidelines will be focused on social influence and the visualization of the relationship between the data of an individual and that of others. References 1. European Union. 2010. Europe 2020 – for a healthier EU. Retrieved April 14, 2016 http:// ec.europa.eu/health/europe_2020_en.htm 2. Festinger, L. 1954. A theory of social comparison processes. Human relations 7, 117-140.

Vasiliki esr 6 CHESS Orientation poster

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Page 1: Vasiliki esr 6 CHESS Orientation poster

It is difficult to evaluate any kind of progressif there is not any point of comparison [2].Thus, the visualization of our data inrelation to others, can not only promotecompetition but also cooperation andsupport. That can be used as a motivatingfactor in behavior change. There are manytechnological applications using socialinfluence to motivate people to change andsustain habits. However, design guidelinesare missing on how these applications canimplement social influence focused onshowing the relationship between anindividual’s data and that of others.

Design guidelines for IT applications that

promote health behavior change through

social influence focused on visualization

of the relation between the data of an

individual and that of others.

Vasiliki Mylonopoulou

ESR6

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the

Marie Sklodowska-Curie grant agreement No 676201

Research Outline

Literature review:

Investigation on how technology hasbeen designed to support behavior changeby visualizing the relation between the dataof an individual and that of others.

Field research:

Through a short scale study, whichwill use quantitative, and qualitative

data collected with diaries and interviews, itwill be understood which data the users areinterested in.

Interviews with practitioners whowork in the design process of healthcareapplications will give a broader view on howthe design teams rationalize around thesocial features.

Through action research in theSpanish company Salumedia Technologies,the way design teams work on creatinghealthcare applications will be investigated.

Knowledge will be transferred to thehealth field from the field of environmentalsustainability by following the designprocess of an ecological behavior changeapplication through action research.

Expected Outcomes

Design guidelines for IT health behaviorchange applications will be created bycombining the previous five points. Theguidelines will be focused on socialinfluence and the visualization of therelationship between the data of anindividual and that of others.

References

1. European Union. 2010. Europe 2020 – for a healthier EU. Retrieved

April 14, 2016 http://ec.europa.eu/health/europe_2020_en.htm

2. Festinger, L. 1954. A theory of social comparison processes. Human

relations 7, 117-140.

http://ec.europa.eu/health/europe_2020_en.htm