Published on in Vol 4, No 2 (2016): Apr-Jun

Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis

Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis

Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis

Journals

  1. Adebesin F, Mwalugha R. The Mediating Role of Organizational Reputation and Trust in the Intention to Use Wearable Health Devices: Cross-Country Study. JMIR mHealth and uHealth 2020;8(6):e16721 View
  2. Wong-Parodi G, Dias M, Taylor M. Effect of Using an Indoor Air Quality Sensor on Perceptions of and Behaviors Toward Air Pollution (Pittsburgh Empowerment Library Study): Online Survey and Interviews. JMIR mHealth and uHealth 2018;6(3):e48 View
  3. Chen Y, Yang L, Zhang M, Yang J. Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets. International Journal of Medical Informatics 2018;116:33 View
  4. Davergne T, Pallot A, Dechartres A, Fautrel B, Gossec L. Use of Wearable Activity Trackers to Improve Physical Activity Behavior in Patients With Rheumatic and Musculoskeletal Diseases: A Systematic Review and Meta‐Analysis. Arthritis Care & Research 2019;71(6):758 View
  5. Ryan J, Edney S, Maher C. Anxious or empowered? A cross-sectional study exploring how wearable activity trackers make their owners feel. BMC Psychology 2019;7(1) View
  6. Fagherazzi G, El Fatouhi D, Bellicha A, El Gareh A, Affret A, Dow C, Delrieu L, Vegreville M, Normand A, Oppert J, Severi G. An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices. Journal of Medical Internet Research 2017;19(10):e363 View
  7. Dragoni M, Donadello I, Eccher C. Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artificial Intelligence in Medicine 2020;105:101840 View
  8. Lynch C, Bird S, Lythgo N, Selva-Raj I. Changing the Physical Activity Behavior of Adults With Fitness Trackers: A Systematic Review and Meta-Analysis. American Journal of Health Promotion 2020;34(4):418 View
  9. Wang Y, Wang Y, Greene B, Sun L. An analysis and evaluation of quality and behavioral change techniques among physical activity apps in China. International Journal of Medical Informatics 2020;133:104029 View
  10. Kloek C, Bossen D, Spreeuwenberg P, Dekker J, de Bakker D, Veenhof C. Effectiveness of a Blended Physical Therapist Intervention in People With Hip Osteoarthritis, Knee Osteoarthritis, or Both: A Cluster-Randomized Controlled Trial. Physical Therapy 2018;98(7):560 View
  11. Ding E, Ensom E, Hafer N, Buchholz B, Picard M, Dunlap D, Rogers E, Lawton C, Koren A, Lilly C, Fitzgibbons T, McManus D. Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering 2019;11:58 View
  12. Gruwez A, Libert W, Ameye L, Bruyneel M. Reliability of commercially available sleep and activity trackers with manual switch-to-sleep mode activation in free-living healthy individuals. International Journal of Medical Informatics 2017;102:87 View
  13. Shingler E, Hackshaw-McGeagh L, Robles L, Persad R, Koupparis A, Rowe E, Shiridzinomwa C, Bahl A, Martin R, Lane J. The feasibility of the Prostate cancer: Evidence of Exercise and Nutrition Trial (PrEvENT) dietary and physical activity modifications: a qualitative study. Trials 2017;18(1) View
  14. Hartman S, Nelson S, Weiner L. Patterns of Fitbit Use and Activity Levels Throughout a Physical Activity Intervention: Exploratory Analysis from a Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(2):e29 View
  15. Mohammadi R, Atif M, Centi A, Agboola S, Jethwani K, Kvedar J, Kamarthi S. Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study. JMIR mHealth and uHealth 2020;8(9):e18142 View
  16. Lynn R, Pfitzer R, Rogers R, Ballmann C, Williams T, Marshall M. Step-Counting Validity of Wrist-Worn Activity Monitors During Activities With Fixed Upper Extremities. Journal for the Measurement of Physical Behaviour 2020;3(3):197 View
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  18. Olsen S, Saperstein S, Gold R. Content and Feature Preferences for a Physical Activity App for Adults with Physical Disabilities: Focus Group Findings (Preprint). JMIR mHealth and uHealth 2019 View
  19. Kanstrup A, Bertelsen P, Jensen M. Contradictions in digital health engagement: An activity tracker’s ambiguous influence on vulnerable young adults’ engagement in own health. DIGITAL HEALTH 2018;4:205520761877519 View
  20. McFadden C, Li Q. Motivational Readiness to Change Exercise Behaviors: An Analysis of the Differences in Exercise, Wearable Exercise Tracking Technology, and Exercise Frequency, Intensity, and Time (FIT) Values and BMI Scores in University Students. American Journal of Health Education 2019;50(2):67 View
  21. Tinschert P, Jakob R, Barata F, Kramer J, Kowatsch T. The Potential of Mobile Apps for Improving Asthma Self-Management: A Review of Publicly Available and Well-Adopted Asthma Apps. JMIR mHealth and uHealth 2017;5(8):e113 View
  22. Fleck R, Cecchinato M, Cox A, Harrison D, Marshall P, Na J, Skatova A. Life-swap: how discussions around personal data can motivate desire for change. Personal and Ubiquitous Computing 2020;24(5):669 View
  23. de Korte E, Wiezer N, Bakhuys Roozeboom M, Vink P, Kraaij W. Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment. JMIR mHealth and uHealth 2018;6(10):e167 View
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  25. Wen D, Zhang X, Liu X, Lei J. Evaluating the Consistency of Current Mainstream Wearable Devices in Health Monitoring: A Comparison Under Free-Living Conditions. Journal of Medical Internet Research 2017;19(3):e68 View
  26. Ehn M, Johansson A, Revenäs Å. Technology-Based Motivation Support for Seniors’ Physical Activity—A Qualitative Study on Seniors’ and Health Care Professionals’ Views. International Journal of Environmental Research and Public Health 2019;16(13):2418 View
  27. Cadmus-Bertram L. Using Fitness Trackers in Clinical Research: What Nurse Practitioners Need to Know. The Journal for Nurse Practitioners 2017;13(1):34 View
  28. Rozanski G, Aqui A, Sivakumaran S, Mansfield A. Consumer Wearable Devices for Activity Monitoring Among Individuals After a Stroke: A Prospective Comparison. JMIR Cardio 2018;2(1):e1 View
  29. Friel C, Garber C. An Examination of the Relationship Between Motivation, Physical Activity, and Wearable Activity Monitor Use. Journal of Sport and Exercise Psychology 2020;42(2):153 View
  30. Lamont R, Daniel H, Payne C, Brauer S. Accuracy of wearable physical activity trackers in people with Parkinson’s disease. Gait & Posture 2018;63:104 View
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  36. Espinoza J, Chen A, Orozco J, Deavenport-Saman A, Yin L. Effect of personal activity trackers on weight loss in families enrolled in a comprehensive behavioral family-lifestyle intervention program in the federally qualified health center setting: A randomized controlled trial. Contemporary Clinical Trials Communications 2017;7:86 View
  37. Koo S. Consumer Differences in the United States and India on Wearable Trackers. Family and Consumer Sciences Research Journal 2017;46(1):40 View
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  39. Sullivan A, Lachman M. Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity. Frontiers in Public Health 2017;4 View
  40. Kooiman T, Dijkstra A, Kooy A, Dotinga A, van der Schans C, de Groot M. The Role of Self-Regulation in the Effect of Self-Tracking of Physical Activity and Weight on BMI. Journal of Technology in Behavioral Science 2020;5(2):206 View
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  44. Hosseinpour M, Terlutter R. Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Medicine 2019;49(9):1425 View
  45. Leonidas C, Nazar B, Munguía L, Santos M. How do we target the factors that maintain anorexia nervosa? A behaviour change taxonomical analysis. International Review of Psychiatry 2019;31(4):403 View
  46. Macridis S, Johnston N, Johnson S, Vallance J, Jan Y. Consumer physical activity tracking device ownership and use among a population-based sample of adults. PLOS ONE 2018;13(1):e0189298 View
  47. Wieringa F, Broers N, Kooman J, Van Der Sande F, Van Hoof C. Wearable sensors: can they benefit patients with chronic kidney disease?. Expert Review of Medical Devices 2017;14(7):505 View
  48. Ehn M, Eriksson L, Åkerberg N, Johansson A. Activity Monitors as Support for Older Persons’ Physical Activity in Daily Life: Qualitative Study of the Users’ Experiences. JMIR mHealth and uHealth 2018;6(2):e34 View
  49. Abedtash H, Holden R. Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs). Journal of the American Medical Informatics Association 2017;24(5):1002 View
  50. Davergne T, Rakotozafiarison A, Servy H, Gossec L. Wearable Activity Trackers in the Management of Rheumatic Diseases: Where Are We in 2020?. Sensors 2020;20(17):4797 View
  51. Hartz J, Yingling L, Powell-Wiley T. Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus. Current Cardiology Reports 2016;18(12) View
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  53. Wright S, Hall Brown T, Collier S, Sandberg K. How consumer physical activity monitors could transform human physiology research. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 2017;312(3):R358 View
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  56. Kononova A, Li L, Kamp K, Bowen M, Rikard R, Cotten S, Peng W. The Use of Wearable Activity Trackers Among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change. JMIR mHealth and uHealth 2019;7(4):e9832 View
  57. Buchan K, Morgan H. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841 View
  58. Hotwani K, Sharma K, Nagpal D, Lamba G, Chaudhari P. Smartphones and tooth brushing: content analysis of the current available mobile health apps for motivation and training. European Archives of Paediatric Dentistry 2020;21(1):103 View
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  64. Feng Y, Li K, Agosto D. Healthy users' personal health information management from activity trackers: The perspective of gym‐goers. Proceedings of the Association for Information Science and Technology 2017;54(1):71 View
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  124. Alnes S, Lærum-Onsager E, Bye A, Vistven A, Franzén E, Holst M, Brovold T. Mobile health technology, exercise adherence and optimal nutrition post rehabilitation among people with Parkinson’s Disease (mHEXANUT) – a randomized controlled trial protocol. BMC Neurology 2023;23(1) View
  125. Ma J, Floegel T, Li L, Leese J, De Vera M, Beauchamp M, Taunton J, Liu-Ambrose T, Allen K. Tailored physical activity behavior change interventions: challenges and opportunities. Translational Behavioral Medicine 2021;11(12):2174 View
  126. Halttu K, Oinas-Kukkonen H. Need for Cognition Among Users of Self-Monitoring Systems for Physical Activity: Survey Study. JMIR Formative Research 2021;5(10):e23968 View
  127. Agher D, Sedki K, Despres S, Albinet J, Jaulent M, Tsopra R. Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality. Journal of Medical Internet Research 2022;24(1):e25384 View
  128. Keats M, Yu X, Sweeney Magee M, Forbes C, Grandy S, Sweeney E, Dummer T. Use of Wearable Activity-Monitoring Technologies to Promote Physical Activity in Cancer Survivors: Challenges and Opportunities for Improved Cancer Care. International Journal of Environmental Research and Public Health 2023;20(6):4784 View
  129. Dobbie L, Tahrani A, Alam U, James J, Wilding J, Cuthbertson D. Exercise in Obesity—the Role of Technology in Health Services: Can This Approach Work?. Current Obesity Reports 2021;11(3):93 View
  130. Domingos C, Picó-Pérez M, Magalhães R, Moreira M, Sousa N, Pêgo J, Santos N. Free-Living Physical Activity Measured With a Wearable Device Is Associated With Larger Hippocampus Volume and Greater Functional Connectivity in Healthy Older Adults: An Observational, Cross-Sectional Study in Northern Portugal. Frontiers in Aging Neuroscience 2021;13 View
  131. AlSwayied G, Guo H, Rookes T, Frost R, Hamilton F. Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature. JMIR mHealth and uHealth 2022;10(12):e40271 View
  132. Grimshaw S, Taylor N, Conyers R, Shields N. Promoting positive physical activity behaviors for children and adolescents undergoing acute cancer treatment: Development of the CanMOVE intervention using the Behavior Change Wheel. Frontiers in Pediatrics 2022;10 View
  133. Festic N, Latzer M, Smirnova S. Algorithmic Self-Tracking for Health: User Perspectives on Risk Awareness and Coping Strategies. Media and Communication 2021;9(4):145 View
  134. Hardcastle S, Maxwell-Smith C, Cavalheri V, Boyle T, Román M, Platell C, Levitt M, Saunders C, Sardelic F, Nightingale S, McCormick J, Lynch C, Cohen P, Bulsara M, Hince D. A randomized controlled trial of Promoting Physical Activity in Regional and Remote Cancer Survivors (PPARCS). Journal of Sport and Health Science 2024;13(1):81 View
  135. Tuominen M, Koski P, Axelin A, Stenholm S, Leskinen T. Acceptable, useful, and ineffective? Recent retirees’ experiences of a 12-month activity tracker-based physical activity intervention. DIGITAL HEALTH 2023;9:205520762211474 View
  136. Manning J, Blandford A, Edbrooke-Childs J. Digital Companion Choice to Support Teachers’ Stress Self-management: Systematic Approach Through Taxonomy Creation. JMIR Formative Research 2022;6(2):e32312 View
  137. Vargemidis D, Gerling K, Abeele V, Geurts L, Spiel K. Irrelevant Gadgets or a Source of Worry. ACM Transactions on Accessible Computing 2021;14(3):1 View
  138. Wlasak W, Zwanenburg S, Paton C. Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment. JMIR Formative Research 2023;7:e38500 View
  139. Chatterjee A, Pahari N, Prinz A, Riegler M. Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation. Scientific Reports 2022;12(1) View
  140. Rausch Osthoff A, Vliet Vlieland T, Meichtry A, van Bodegom-Vos L, Topalidis B, Büchi S, Nast I, Ciurea A, Niedermann K. Lessons learned from a pilot implementation of physical activity recommendations in axial spondyloarthritis exercise group therapy. BMC Rheumatology 2022;6(1) View
  141. Larsen L, Lauritzen M, Sinkjaer M, Kjaer T. A multi-component intervention to affect physical activity, sleep length and stress levels in office workers. Smart Health 2021;22:100219 View
  142. Leung W, Shi L, Jung J. Are individuals with disabilities using wearable devices? A secondary data analysis of 2017 BRFSS. Disability and Rehabilitation: Assistive Technology 2024;19(1):131 View
  143. Panicker R, Chandrasekaran B. “Wearables on vogue”: a scoping review on wearables on physical activity and sedentary behavior during COVID-19 pandemic. Sport Sciences for Health 2022;18(3):641 View
  144. Mateus N, Exel J, Santos S, Gonçalves B, Sampaio J. Effectiveness of wearable technology to optimize youth soccer players’ off-training behaviour and training responses: a parallel group randomized trial. Science and Medicine in Football 2023;7(4):384 View
  145. Freshwater M, Christensen S, Oshman L, Bays H. Behavior, motivational interviewing, eating disorders, and obesity management technologies: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022. Obesity Pillars 2022;2:100014 View
  146. Ráthonyi G, Takács V, Szilágyi R, Bácsné Bába É, Müller A, Bács Z, Harangi-Rákos M, Balogh L, Ráthonyi-Odor K. Your Physical Activity Is in Your Hand—Objective Activity Tracking Among University Students in Hungary, One of the Most Obese Countries in Europe. Frontiers in Public Health 2021;9 View
  147. Wang W, Cheng J, Song W, Shen Y. The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e32435 View
  148. Field L, Forshaw M, Poole H, Paine P, Fairclough G, Walton C. “The tonic’s not always in a bottle”: a qualitative study investigating a heart rate variability biofeedback coherence intervention for individuals with gastrointestinal disorders. Journal of Complexity in Health Sciences 2022;5(1):1 View
  149. Sui W, Morava A, Tsang J, Sui A, Rhodes R. Describing the use of behavior change techniques among the most popular home workout channels on YouTube: A quantitative content analysis. Journal of Health Psychology 2022;27(13):2951 View
  150. Alexander L, Christensen S, Richardson L, Ingersoll A, Burridge K, Golden A, Karjoo S, Cortez D, Shelver M, Bays H. Nutrition and physical activity: An Obesity Medicine Association (OMA) Clinical Practice Statement 2022. Obesity Pillars 2022;1:100005 View
  151. O’Brien J, Mason A, Cassarino M, Chan J, Setti A. Older Women’s Experiences of a Community-Led Walking Programme Using Activity Trackers. International Journal of Environmental Research and Public Health 2021;18(18):9818 View
  152. Strain T, Wijndaele K, Pearce M, Brage S. Considerations for the Use of Consumer-Grade Wearables and Smartphones in Population Surveillance of Physical Activity. Journal for the Measurement of Physical Behaviour 2022;5(1):8 View
  153. Kim H, Cho I, Kim M. Gamification Aspects of Fitness Apps: Implications of mHealth for Physical Activities. International Journal of Human–Computer Interaction 2023;39(10):2076 View
  154. McCormack G, Petersen J, Ghoneim D, Blackstaffe A, Naish C, Doyle-Baker P. Effectiveness of an 8-Week Physical Activity Intervention Involving Wearable Activity Trackers and an eHealth App: Mixed Methods Study. JMIR Formative Research 2022;6(5):e37348 View
  155. Creaser A, Frazer M, Costa S, Bingham D, Clemes S. The Use of Wearable Activity Trackers in Schools to Promote Child and Adolescent Physical Activity: A Descriptive Content Analysis of School Staff’s Perspectives. International Journal of Environmental Research and Public Health 2022;19(21):14067 View
  156. Kamps A, Clevering A, Nieuwdorp B, de Weger W, van Lente L. Asthma control is not associated with physical activity level in children with asthma during regular follow-up. Journal of Asthma 2022;59(10):1933 View
  157. Chevance G, Golaszewski N, Tipton E, Hekler E, Buman M, Welk G, Patrick K, Godino J. Accuracy and Precision of Energy Expenditure, Heart Rate, and Steps Measured by Combined-Sensing Fitbits Against Reference Measures: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35626 View
  158. Hicks J, Boswell M, Althoff T, Crum A, Ku J, Landay J, Moya P, Murnane E, Snyder M, King A, Delp S. Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective. Annual Review of Public Health 2023;44(1):131 View
  159. Fatima S, Augusto J, Moseley R, Urbonas P, Elliott A, Payne N. Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application. Entertainment Computing 2023;46:100571 View
  160. Estorff I, Notthoff N. Welche Motive für körperliche Aktivität verfolgen jüngere und ältere Personen bei der Nutzung von Aktivitätstrackern?. Zeitschrift für Sportpsychologie 2023;30(1):3 View
  161. Trumpf R, Schulte L, Schroeder H, Larsen R, Haussermann P, Zijlstra W, Fleiner T. Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicability. European Review of Aging and Physical Activity 2023;20(1) View
  162. Shih H, Quinn L, Morgan-Jones P, Long K, Schreier A, Friel C. Wearable activity monitors to support physical activity interventions in neurodegenerative disease: a feasibility study. Neurodegenerative Disease Management 2023;13(3):177 View
  163. Waalen J. Mobile Health and Preventive Medicine. Medical Clinics of North America 2023;107(6):1097 View
  164. Heizmann A, Chapelle C, Laporte S, Roche F, Hupin D, Le Hello C. Impact of wearable device-based interventions with feedback for increasing daily walking activity and physical capacities in cardiovascular patients: a systematic review and meta-analysis of randomised controlled trials. BMJ Open 2023;13(7):e069966 View
  165. Gupta N, Kumar P. Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine. Computers in Biology and Medicine 2023;162:107051 View
  166. Sigfstead S, Cheung C. The emerging role of wearables in cardiac care. University of Toronto Medical Journal 2023;100(2):22 View
  167. Peng S, Othman A, Khairani A, zeng G, Xiaogang Z, Fang Y. Effectiveness of pedometer- and accelerometer-based interventions in improving physical activity and health-related outcomes among college students: A systematic review and meta-analysis. DIGITAL HEALTH 2023;9 View
  168. El-Gayar O, Elnoshokaty A. Factors and Design Features Influencing the Continued Use of Wearable Devices. Journal of Healthcare Informatics Research 2023;7(3):359 View
  169. Berger M, Bertrand A, Robert T, Chèze L. Measuring objective physical activity in people with chronic low back pain using accelerometers: a scoping review. Frontiers in Sports and Active Living 2023;5 View
  170. Chatterjee A, Pahari N, Prinz A, Riegler M. AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach. BMC Medical Informatics and Decision Making 2023;23(1) View
  171. Signal N, Olsen S, Rashid U, McLaren R, Vandal A, King M, Taylor D. Haptic Nudging Using a Wearable Device to Promote Upper Limb Activity during Stroke Rehabilitation: Exploring Diurnal Variation, Repetition, and Duration of Effect. Behavioral Sciences 2023;13(12):995 View
  172. Manskow U, Sagelv E, Antypas K, Zanaboni P. Adoption, acceptability and sustained use of digital interventions to promote physical activity among inactive adults: a mixed-method study. Frontiers in Public Health 2024;11 View
  173. Kopp P, Möhler E, Gröpel P. Physical activity and mental health in school-aged children: a prospective two-wave study during the easing of the COVID-19 restrictions. Child and Adolescent Psychiatry and Mental Health 2024;18(1) View

Books/Policy Documents

  1. Mahloko L, Adebesin F. Responsible Design, Implementation and Use of Information and Communication Technology. View
  2. El-Gayar O, Ambati L, Nawar N. AI and Big Data’s Potential for Disruptive Innovation. View
  3. Caraban A, Karapanos E, Teixeira V, Munson S, Campos P. Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors. View
  4. Petsani D, Kostantinidis E, Diaz-Orueta U, Hopper L, Bamidis P. Information and Communication Technologies for Ageing Well and e-Health. View
  5. Kuru H. Current and Emerging mHealth Technologies. View
  6. Lemos A, Bitencourt E. The Internet and Health in Brazil. View
  7. Huppert F, Kranz M, Hoelzl G. Mobile Computing, Applications, and Services. View
  8. Abdul Hamid S, Ismail N, Abdul Razak F, Shahudin N. Enhancing Health and Sports Performance by Design. View
  9. Angkawinitwong U, Williams G. Electrospun Polymers and Composites. View
  10. Willemse B, Kaptein M, Batalas N, Hasaart F. Wireless Mobile Communication and Healthcare. View
  11. Schooley B, Akgun D, Duhoon P, Hikmet N. Advances in Computer Vision and Computational Biology. View
  12. Branin J. Quantifying Quality of Life. View