Determining the Determinants of Health Behaviour Change through an Online Social Network

The ABC framework provides determinants for leveraging the motivational power of online social networks with the determinants for promoting health behaviour changes. We designed VivoSpace, a medium fidelity prototype of an online social network to promote healthy behaviour changes based on the guidelines for incorporating these determinants. We evaluated the determinants of appeal, belonging and commitment using both direct and indirect methods with 36 adult subjects. Indirect evaluation methods included a helping game experiment, adopted from experimental behavioural economics to measure indirect reciprocity evoked by VivoSpace, which is an important factor in developing belonging. Similarly, an in-group experiment was adopted to evaluate group commitment. Our results show that VivoSpace's design based on the ABC framework result in a strong degree of agreement with the appeal determinants with evidence for the promotion of belonging and commitment. Thus, we have evidence for the effectiveness of design elements for evoking behaviour change to improve health using an online social network.

[1]  A. Bandura.  Health Promotion by Social Cognitive Means , 2004, Health education & behavior : the official publication of the Society for Public Health Education.

[2]  David W. McDonald,et al.  Goal-setting considerations for persuasive technologies that encourage physical activity , 2009, Persuasive '09.

[3]  John P. Meyer,et al.  The measurement and antecedents of affective, continuance and normative commitment to the organization , 1990 .

[4]  Howard Leventhal,et al.  Illness cognition: Using common sense to understand treatment adherence and affect cognition interactions , 1992, Cognitive Therapy and Research.

[5]  N. Christakis,et al.  The Spread of Obesity in a Large Social Network Over 32 Years , 2007, The New England journal of medicine.

[6]  David W. McDonald,et al.  Theory-driven design strategies for technologies that support behavior change in everyday life , 2009, CHI.

[7]  A. Schram,et al.  Social status and group norms: Indirect reciprocity in a repeated helping experiment , 2006 .

[8]  M. Nowak,et al.  Evolution of indirect reciprocity by image scoring , 1998, Nature.

[9]  S. Kiesler,et al.  Applying Common Identity and Bond Theory to Design of Online Communities , 2007 .

[10]  Kendall Ho,et al.  Online social networks for personal informatics to promote positive health behavior , 2010, WSM@MM.

[11]  James A. Landay,et al.  Design requirements for technologies that encourage physical activity , 2006, CHI.

[12]  R. Bagozzi,et al.  A Social Influence Model of Consumer Participation in Network- and Small-Group-Based Virtual Communities , 2004 .

[13]  Bertjan Doosje,et al.  Sticking Together or Falling Apart: In-Group Identification as a Psychological Determinant of Group Commitment Versus Individual Mobility , 1997 .

[14]  Lena Mamykina,et al.  Constructing identities through storytelling in diabetes management , 2010, CHI.

[15]  Alcides Velasquez,et al.  Motivations to participate in online communities , 2010, CHI.

[16]  I. Ajzen.  The theory of planned behavior , 1991 .

[17]  Sean A. Munson,et al.  Facebook for health: opportunities and challenges for driving behavior change , 2011, CHI EA '11.

[18]  W. Velicer,et al.  The Transtheoretical Model of Health Behavior Change , 1997, American journal of health promotion : AJHP.

[19]  M. Becker,et al.  The Health Belief Model: A Decade Later , 1984, Health education quarterly.