Goal setting for persuasive information systems: Five reference checklists
Authors: Cham, S., Algashami, A., McAlaney, J., Stefanidis, A., Phalp, K. and Ali, R.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 11433 LNCS
Pages: 237-253
eISSN: 1611-3349
ISBN: 9783030172862
ISSN: 0302-9743
DOI: 10.1007/978-3-030-17287-9_20
Abstract: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.
http://eprints.bournemouth.ac.uk/32258/
Source: Scopus
Goal setting for persuasive information systems: Five reference checklists
Authors: Cham, S., Algashami, A., McAlaney, J., Stefanidis, A., Phalp, K. and Ali, R.
Conference: 14th International Conference on Persuasive Technology
Dates: 9-12 April 2019
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 11433 LNCS
Pages: 237-253
eISSN: 1611-3349
ISBN: 9783030172862
ISSN: 0302-9743
DOI: 10.1007/978-3-030-17287-9_20
Abstract: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.
http://eprints.bournemouth.ac.uk/32258/
Source: Manual
Preferred by: Raian Ali
Goal Setting for Persuasive Information Systems: Five Reference Checklists.
Authors: Cham, S., Algashami, A., McAlaney, J., Stefanidis, A., Phalp, K. and Ali, R.
Editors: Oinas-Kukkonen, H., Win, K.T., Karapanos, E., Karppinen, P. and Kyza, E.A.
Journal: PERSUASIVE
Volume: 11433
Pages: 237-253
Publisher: Springer
ISBN: 978-3-030-17286-2
http://eprints.bournemouth.ac.uk/32258/
https://doi.org/10.1007/978-3-030-17287-9
Source: DBLP