Tailoring real-time physical activity coaching systems: a literature survey and model

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Harm op den Akker, Valerie M. Jones, and Hermie J. Hermens, “Tailoring real-time physical activity coaching systems: a literature survey and model“, in User Modeling and User-Adapted Interaction, Vol. 24 (5), pages 351-392, 2014.

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  1. (Dijkstra, 2014) The persuasive effects of personalization through: name mentioning in a smoking cessation message
  2. (Masthoff et al., 2014) Preface to the special issue on personalization and behavior change
  3. (Hermens et al., 2014) Personalized Coaching Systems to support healthy behavior in people with chronic conditions
  4. (Kulyk et al., 2014) Personalized Virtual Coaching for Lifestyle Support: Principles for Design and Evaluation
  5. (Shoaib et al., 2015) A Survey of Online Activity Recognition Using Mobile Phones
  6. (Achterkamp et al, 2015) The influence of success experience on self-efficacy when providing feedback through technology
  7. (op den Akker et al., 2015) Tailored motivational message generation: A model and practical framework for real-time physical activity coaching
  8. (Cabrita et al., 2015) An Unobtrusive System to Monitor Physical Functioning of the Older Adults: Results of a Pilot Study
  9. (Masthoff & Vassileva, 2015) Tutorial on Personalization for Behaviour Change
  10. (Achterkamp et al., 2016) Strategies to improve effectiveness of physical activity coaching systems: Development of personas for providing tailored feedback
  11. (Esteban et al., 2016) An activity-centric argumentation framework for assistive technology aimed at improving health
  12. (Herrmanny et al., 2016) Using Psychophysiological Parameters to Support Users in Setting Effective Activity Goals
  13. (Achterkamp et al., 2016) The influence of vicarious experience provided through mobile technology on self-efficacy when learning new tasks
  14. (van Kleek et al., 2016) Computationally Mediated Pro-Social Deception
  15. (op den Akker et al., 2016) Virtual Coaches for Healthy Lifestyle
  16. (Herrmanny et al., 2016) Supporting Users in Setting Effective Goals in Activity Tracking
  17. (Bardus et al., 2016) A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management
  18. (Rutjes, 2016) Understanding Effective Coaching on Healthy Lifestyle by Combining Theory- and Data-driven Approaches
  19. (Nassabi et al., 2016) MyHealthFrame – Design and Evaluation of a Minimally Invasive Communication Platform for Telemedicine Services Aimed at Older Adults
  20. (Amato et al., 2016) Towards a coaching system for daily living activities: the use of kitchen objects and devices for cognitive impaired people
  21. (Reimer et al., 2016) Automatic User Adaptation for Behavior Change Support
  22. (Smith et al., 2016) Personalizing Reminders to Personality for Melanoma Self-checking
  23. (Timmerman et al., 2017) Ambulant monitoring and web-accessible home-based exercise program during outpatient follow-up for resected lung cancer survivors: actual use and feasibility in clinical practice
  24. (Subagdja et al., 2016) Coordinated Persuasion with Dynamic Group Formation for Collaborative Elderly Care
  25. (Amato & Coronato, 2017) An IoT-Aware Architecture for Smart Healthcare Coaching Systems
  26. (Stütz et al., 2017) An interactive 3D health app with multimodal information representation for frozen shoulder
  27. (Bhooshan, 2017) Review on Recognition of Human Activity through Smartphone Built-In Sensors
  28. (Bonaccorsi et al., 2017) ‘HighChest’: An Augmented Freezer Designed for Smart Food Management and Promotion of Eco-Efficient Behaviour
  29. (Stütz et al., 2017) Mobile Phone–Supported Physiotherapy for Frozen Shoulder: Feasibility Assessment Based on a Usability Study
  30. (Yoo et al., 2017) Towards a Long Term Model of Virtual Reality Exergame Exertion
  31. (Pasotti et al., 2017) Towards a formalisation of Action Identification Hierarchies
  32. (Saponaro et al., 2017) Towards Learning Efficient Intervention Policies for Wearable Devices
  33. (Baber et al., 2017) Creating Affording Situations: Coaching through Animate Objects
  34. (Lindgren et al., 2017) Towards a Multipurpose Goal Model for Personalised Digital Coaching
  35. (Baskar et al., 2017) A Multipurpose Goal Model for Personalised Digital Coaching
  36. (Liang et al., 2017) Explicit exercise coaching for health promotion based on bio-mechanics and ontology engineering
  37. (Baber et al., 2017) Coaching through smart objects
  38. (Reimer et al., 2017) A Self-learning Application Framework for Behavioral Change Support
  39. (Triantafyllidis et al., 2018) Computerised decision support in physical activity interventions: A systematic literature review
  40. (Dijkhuis et al., 2018) Personalized Physical Activity Coaching: A Machine Learning Approach
  41. (Konstanti & Karapanos, 2018) An Inquiry into Goal-Setting Practices with Physical Activity Trackers
  42. (Pajarito & Gould, 2018) Mapping Frictions Inhibiting Bicycle Commuting
  43. (Ng & Ryba, 2018) The Quantified Athlete: Associations of Wearables for High School Athletes
  44. (Subagdja et al., 2018) A coordination framework for multi-agent persuasion and adviser systems
  45. (Dallinga et al., 2018) Analysis of the Features Important for the Effectiveness of Physical Activity–Related Apps for Recreational Sports: Expert Panel Approach
  46. (Cabrita et al., 2018) Persuasive technology to support active and healthy ageing: An exploration of past, present, and future
  47. (Hamari et al., 2018) Gamification, quantified-self or social networking? Matching users’ goals with motivational technology
  48. (Hassan et al., 2019) How motivational feedback increases user’s benefits and continued use: A study on gamification, quantified-self and social networking
  49. (Grajales et al., 2019) Collaboration or competition: The impact of incentive types on urban cycling
  50. (van Velsen et al., 2019) Tailoring Persuasive Electronic Health Strategies for Older Adults on the Basis of Personal Motivation: Web-Based Survey Study
  51. (Kraaij et al., 2019) Personalized support for well-being at work: an overview of the SWELL project
  52. (Prayaga et al., 2019) Wearable Devices Data for Activity Prediction using Machine Learning Algorithms
  53. (Mejova & Kalimeri, 2019) Effect of Values and Technology Use on Exercise: Implications for Personalized Behavior Change Interventions
  54. (Gordon et al., 2019) Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal
  55. (Ghanvatkar et al., 2019) User Models for Personalized Physical Activity Interventions: Scoping Review
  56. (Rapp, 2019) Design fictions for behaviour change: exploring the long-term impacts of technology through the creation of fictional future prototypes
  57. (Signorelli et al., 2019) A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support
  58. (Stütz et al., 2019) (How) Can an App Support Physiotherapy for Frozen Shoulder Patients
  59. (Barna & Fodor, 2019) A Data-Driven Approach to Analyze User Behavior on a Personalized Gamification Platform