Goal Setting for Persuasive Information Systems: Five Reference Checklists

  • Sainabou ChamEmail author
  • Abdullah Algashami
  • John McAlaney
  • Angelos Stefanidis
  • Keith Phalp
  • Raian Ali
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11433)


The concept of goals is prominent in information systems and also artificial intelligence literature such as goal-oriented requirements engineering and self-adaptive systems. Digital motivation systems, e.g. gamification and persuasive technology, utilise the concept of behavioural goals which require a different mind-set on how to elicit and set them up, how to monitor deviation from such goals and how to ensure their completion. Behavioural goals are characterised by a range of factors which are not the main focus in classic information systems and AI literature such as self-efficacy, perceived usefulness. To engineer software supporting goal setting, a concretised taxonomy of goals would help a better-managed analysis and design process. In this paper, we provide a detailed classification of behavioural goals and their associated properties and elements (types, sources, monitoring, feedback, deviation and countermeasures). As a method, we review the literature on goal setting theory and its application in different disciplines. We subsequently develop five reference checklists which would act as a reference point for researchers and practitioners in persuasive and motivational systems.


Goal setting Persuasive systems Behavioural goals 



This work has been partially supported by the EROGamb project funded jointly by GambleAware and Bournemouth University.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sainabou Cham
    • 1
    Email author
  • Abdullah Algashami
    • 1
  • John McAlaney
    • 1
  • Angelos Stefanidis
    • 1
  • Keith Phalp
    • 1
  • Raian Ali
    • 1
  1. 1.Bournemouth UniversityPooleUK

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