TY - GEN
T1 - Goal setting for persuasive information systems
T2 - 14th International Conference on Persuasive Technology, PERSUASIVE 2019
AU - Cham, Sainabou
AU - Algashami, Abdullah
AU - McAlaney, John
AU - Stefanidis, Angelos
AU - Phalp, Keith
AU - Ali, Raian
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Behavioural goals
KW - Goal setting
KW - Persuasive systems
UR - http://www.scopus.com/inward/record.url?scp=85064559555&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-17287-9_20
DO - 10.1007/978-3-030-17287-9_20
M3 - Conference Proceeding
AN - SCOPUS:85064559555
SN - 9783030172862
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 237
EP - 253
BT - Persuasive Technology
A2 - Win, Khin Than
A2 - Karapanos, Evangelos
A2 - Kyza, Eleni
A2 - Oinas-Kukkonen, Harri
A2 - Karppinen, Pasi
PB - Springer Verlag
Y2 - 9 April 2019 through 11 April 2019
ER -