TY - GEN
T1 - From Good Intentions to Behaviour Change
T2 - 22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019
AU - Kließ, Malte S.
AU - Stoelinga, Marielle
AU - van Riemsdijk, M. Birna
PY - 2019
Y1 - 2019
N2 - Behaviour support technology assists people in organising their daily activities and changing their behaviour. A fundamental notion underlying such supportive technology is that of compliance with behavioural norms: do people indeed perform the desired behaviour? Existing technology employs a rigid implementation of compliance: a norm is either satisfied or not. In practice however, behaviour change norms are less strict: E.g., is a new norm to do sports at least three times a week complied with if it is occasionally only done twice a week? To address this, in this paper we formally specify probabilistic norms through a variant of feature diagrams, enabling a hierarchical decomposition of the desired behaviour and its execution frequencies. Further, we define a new notion of probabilistic norm compliance using a formal hypothesis testing framework. We show that probabilistic norm compliance can be used in a real-world setting by implementing and evaluating our semantics with respect to an existing daily behaviour dataset.
AB - Behaviour support technology assists people in organising their daily activities and changing their behaviour. A fundamental notion underlying such supportive technology is that of compliance with behavioural norms: do people indeed perform the desired behaviour? Existing technology employs a rigid implementation of compliance: a norm is either satisfied or not. In practice however, behaviour change norms are less strict: E.g., is a new norm to do sports at least three times a week complied with if it is occasionally only done twice a week? To address this, in this paper we formally specify probabilistic norms through a variant of feature diagrams, enabling a hierarchical decomposition of the desired behaviour and its execution frequencies. Further, we define a new notion of probabilistic norm compliance using a formal hypothesis testing framework. We show that probabilistic norm compliance can be used in a real-world setting by implementing and evaluating our semantics with respect to an existing daily behaviour dataset.
UR - http://www.scopus.com/inward/record.url?scp=85076504438&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-33792-6_22
DO - 10.1007/978-3-030-33792-6_22
M3 - Conference contribution
AN - SCOPUS:85076504438
SN - 9783030337919
VL - 11873
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 354
EP - 369
BT - PRIMA 2019
A2 - Baldoni, Matteo
A2 - Dastani, Mehdi
A2 - Liao, Beishui
A2 - Sakurai, Yuko
A2 - Zalila Wenkstern, Rym
PB - Springer
Y2 - 28 October 2019 through 31 October 2019
ER -