Potential and effects of personalizing gameful fitness applications using behavior change intentions and Hexad user types

[1]  Kiemute Oyibo,et al.  Investigation of the Persuasiveness of Social Influence in Persuasive Technology and the Effect of Age and Gender , 2017, PPT@PERSUASIVE.

[2]  Yunan Chen,et al.  When Fitness Meets Social Networks: Investigating Fitness Tracking and Social Practices on WeRun , 2017, CHI.

[3]  Juho Hamari,et al.  Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification , 2014, 2014 47th Hawaii International Conference on System Sciences.

[4]  Marc Busch,et al.  The Gamification User Types Hexad Scale , 2016, CHI PLAY.

[5]  D. C. Howell.  Statistical Methods for Psychology , 1987 .

[6]  G. Borg.  Perceived Exertion Scale , 2018 .

[7]  Silvia Lindtner,et al.  Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game , 2006, UbiComp.

[8]  Srinivas Sampalli,et al.  Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review , 2020, Frontiers in Artificial Intelligence.

[9]  Anthony J Bishara,et al.  Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches. , 2012, Psychological methods.

[10]  M. Csíkszentmihályi.  Finding Flow: The Psychology of Engagement with Everyday Life , 1997 .

[11]  Antonio Krüger,et al.  Extending a Gamified Mobile App with a Public Display to Encourage Walking , 2018, MindTrek.

[12]  Gustavo Fortes Tondello,et al.  A Theory of Gamification Principles Through Goal-Setting Theory , 2018, HICSS.

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

[14]  Xing Yu,et al.  Designing Leaderboards for Gamification: Perceived Differences Based on User Ranking, Application Domain, and Personality Traits , 2017, CHI.

[15]  Elke E. Mattheiss,et al.  Player Type Models: Towards Empirical Validation , 2016, CHI Extended Abstracts.

[16]  E. Deci,et al.  Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.

[17]  Luca Chittaro,et al.  Adaptation of Graphics and Gameplay in Fitness Games by Exploiting Motion and Physiological Sensors , 2007, Smart Graphics.

[18]  Antonio Krüger,et al.  Investigating Gamification for Seniors Aged 75+ , 2018, Conference on Designing Interactive Systems.

[19]  Thomas Grechenig,et al.  Gamification of Online Surveys: Design Process, Case Study, and Evaluation , 2015, INTERACT.

[20]  Juho Hamari,et al.  Gamification of physical activity: A systematic literature review of comparison studies , 2019, GamiFIN.

[21]  Regan L. Mandryk,et al.  Age-Based Preferences and Player Experience: A Crowdsourced Cross-sectional Study , 2017, CHI PLAY.

[22]  Elke E. Mattheiss,et al.  Using Player Type Models for Personalized Game Design - An Empirical Investigation , 2016, IxD&A.

[23]  Klaus Opwis,et al.  Negative Emotion, Positive Experience?: Emotionally Moving Moments in Digital Games , 2016, CHI.

[24]  Regan L. Mandryk,et al.  BrainHex: A neurobiological gamer typology survey , 2014, Entertain. Comput..

[25]  Antonio Krüger,et al.  Combining Behavior Change Intentions and User Types to Select Suitable Gamification Elements for Persuasive Fitness Systems , 2019, PERSUASIVE.

[26]  R. Niaura,et al.  Self-efficacy and the stages of exercise behavior change. , 1992, Research quarterly for exercise and sport.

[27]  Lennart E. Nacke,et al.  Empirical validation of the Gamification User Types Hexad scale in English and Spanish , 2019, Int. J. Hum. Comput. Stud..

[28]  David W. McDonald,et al.  Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays , 2008, UbiComp.

[29]  Kathrin Maria Gerling,et al.  Design Strategies for Gamified Physical Activity Applications for Older Adults , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[30]  Pascal Lessel,et al.  The Importance of Social Relations for Well-Being Change in Old Age - Do Game Preferences Change As Well? , 2017, PGW@CHI PLAY.

[31]  Julita Vassileva,et al.  Modeling the efficacy of persuasive strategies for different gamer types in serious games for health , 2014, User Modeling and User-Adapted Interaction.

[32]  Gregory D. Abowd,et al.  Storyboarding: an empirical determination of best practices and effective guidelines , 2006, DIS '06.

[33]  Susanne Boll,et al.  ActiStairs: Design and Acceptance of a Technology-Based Intervention to Advocate Stair-Climbing in Public Spaces , 2018, HealthMedia@MM.

[34]  Tatsuo Nakajima,et al.  Designing motivation using persuasive ambient mirrors , 2011, Personal and Ubiquitous Computing.

[35]  Brian Caulfield,et al.  The effects of visual feedback in therapeutic exergaming on motor task accuracy , 2011, 2011 International Conference on Virtual Rehabilitation.

[36]  B. Gersh.  Adherence to Healthy Lifestyle Habits in US Adults, 1988-2006 , 2010 .

[37]  Julita Vassileva,et al.  Gender, Age, and Responsiveness to Cialdini's Persuasion Strategies , 2015, PERSUASIVE.

[38]  Rita Orji,et al.  Personalizing Persuasive Strategies in Gameful Systems to Gamification User Types , 2018, CHI.

[39]  D. A. Walker,et al.  JMASM9: Converting Kendall’s Tau For Correlational Or Meta-Analytic Analyses , 2003 .

[40]  David W. McDonald,et al.  Activity sensing in the wild: a field trial of ubifit garden , 2008, CHI.

[41]  Keith Phalp,et al.  Goal Setting for Persuasive Information Systems: Five Reference Checklists , 2019, PERSUASIVE.

[42]  Alexandre N. Tuch,et al.  Towards understanding the effects of individual gamification elements on intrinsic motivation and performance , 2017, Comput. Hum. Behav..

[43]  Laura A. Dabbish,et al.  Designing games with a purpose , 2008, CACM.

[44]  Julita Vassileva,et al.  Tailoring persuasive health games to gamer type , 2013, CHI.

[45]  Bin Xu,et al.  Personality-targeted Gamification: A Survey Study on Personality Traits and Motivational Affordances , 2016, CHI.

[46]  J. M. Carroll,et al.  On the bipolarity of positive and negative affect. , 1999, Psychological bulletin.

[47]  G. Borg.  Perceived exertion as an indicator of somatic stress. , 2019, Scandinavian journal of rehabilitation medicine.

[48]  R. McCrae,et al.  An introduction to the five-factor model and its applications. , 1992, Journal of personality.

[49]  Richard A Armstrong,et al.  When to use the Bonferroni correction , 2014, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[50]  Gustavo Fortes Tondello,et al.  Elements of Gameful Design Emerging from User Preferences , 2017, CHI PLAY.

[51]  R. Ryan,et al.  Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. , 1982 .

[52]  Terry E. Duncan,et al.  Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. , 1989, Research quarterly for exercise and sport.

[53]  Harri Oinas-Kukkonen,et al.  Exploring Perceived Persuasiveness of a Behavior Change Support System: A Structural Model , 2012, PERSUASIVE.

[54]  Brian Caulfield,et al.  Design considerations in therapeutic exergaming , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[55]  Veronika Koller.  Missions and Empires: Religious and Political Metaphors in Corporate Discourse , 2009 .

[56]  Jodi Forlizzi,et al.  A stage-based model of personal informatics systems , 2010, CHI.

[57]  Michel C. A. Klein,et al.  Active2Gether: A Personalized m-Health Intervention to Encourage Physical Activity , 2017, Sensors.

[58]  Sean A. Munson,et al.  A lived informatics model of personal informatics , 2015, UbiComp.

[59]  Arch G Mainous,et al.  Adherence to healthy lifestyle habits in US adults, 1988-2006. , 2009, The American journal of medicine.

[60]  Elisa D. Mekler,et al.  Self-Determination Theory in HCI Games Research: Current Uses and Open Questions , 2020, CHI.

[61]  Florian Mueller,et al.  Watch your steps: designing a semi-public display to promote physical activity , 2013, IE.

[62]  Kiemute Oyibo,et al.  Investigation of the Moderating Effect of Culture on Users' Susceptibility to Persuasive Features in Fitness Applications , 2019, Inf..

[63]  Oren Zuckerman,et al.  Deconstructing gamification: evaluating the effectiveness of continuous measurement, virtual rewards, and social comparison for promoting physical activity , 2014, Personal and Ubiquitous Computing.

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

[65]  Lennart E. Nacke,et al.  From game design elements to gamefulness: defining "gamification" , 2011, MindTrek.

[66]  Tiffany Barnes,et al.  Astrojumper: Designing a virtual reality exergame to motivate children with autism to exercise , 2010, 2010 IEEE Virtual Reality Conference (VR).

[67]  Josephine Arendt,et al.  Health in a 24-h society , 2001, The Lancet.

[68]  M. McHugh.  Interrater reliability: the kappa statistic , 2012, Biochemia medica.

[69]  Chrysanne Di Marco,et al.  Towards Personality-driven Persuasive Health Games and Gamified Systems , 2017, CHI.

[70]  Katerina Pramatari,et al.  Employee Profiles and Preferences towards Workplace Gamification for Energy Conservation , 2018, Int. J. Serious Games.

[71]  I. Olkin,et al.  Using pedometers to increase physical activity and improve health: a systematic review. , 2007, JAMA.

[72]  Juho Hamari,et al.  Do Persuasive Technologies Persuade? - A Review of Empirical Studies , 2014, PERSUASIVE.

[73]  D. Markland,et al.  Variations in Self-Determination Across the Stages of Change for Exercise in Adults , 1997 .

[74]  K. Werbach,et al.  For the Win: How Game Thinking Can Revolutionize Your Business , 2012 .

[75]  Pearl Pu,et al.  HealthyTogether: exploring social incentives for mobile fitness applications , 2014, Chinese CHI '14.

[76]  Jean-Charles Marty,et al.  Factors to Consider for Tailored Gamification , 2019, CHI PLAY.

[77]  Thad Starner,et al.  AstroWheelie: A wheelchair based exercise game , 2008, 2008 12th IEEE International Symposium on Wearable Computers.

[78]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[79]  Andrea G. Parker,et al.  Spaceship Launch: Designing a Collaborative Exergame for Families , 2015, CSCW.

[80]  Andrew K. Przybylski,et al.  The Motivational Pull of Video Games: A Self-Determination Theory Approach , 2006 .

[81]  Torin Monahan,et al.  Benefits of ‘observer effects’: lessons from the field , 2010, Qualitative research : QR.

[82]  Deborah I. Fels,et al.  Gamification in theory and action: A survey , 2015, Int. J. Hum. Comput. Stud..

[83]  Gustavo Fortes Tondello,et al.  Dynamic Personalization of Gameful Interactive Systems , 2019 .

[84]  E. A. Locke,et al.  Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. , 2002, The American psychologist.

[85]  Adnan R. Manzoor,et al.  The Use and Effects of an App-Based Physical Activity Intervention “Active2Gether” in Young Adults: Quasi-Experimental Trial , 2020, JMIR formative research.

[86]  Joan Arnedo-Moreno,et al.  Effect of personalized gameful design on student engagement , 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).

[87]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[88]  Andrew D. Miller,et al.  StepStream: a school-based pervasive social fitness system for everyday adolescent health , 2014, CHI.

[89]  J. Prochaska,et al.  A Consumer Education Programme Based on the Transtheoretical Model of Change , 2004 .

[90]  Julie A. Kientz,et al.  Personality and Persuasive Technology: An Exploratory Study on Health-Promoting Mobile Applications , 2010, PERSUASIVE.

[91]  Pawel W. Wozniak,et al.  Supporting Meaningful Personal Fitness: the Tracker Goal Evolution Model , 2018, CHI.