TY - GEN
T1 - Sharing Online Cultural Experiences
T2 - 9th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2012
AU - Amgoud, Leila
AU - Confalonieri, Roberto
AU - De Jonge, Dave
AU - D'Inverno, Mark
AU - Hazelden, Katina
AU - Osman, Nardine
AU - Prade, Henri
AU - Sierra, Carles
AU - Yee-King, Matthew
N1 - This work was supported by the European framework ERA-Net CHIST-ERA, under contract CHRI-001-03, ACE project “Autonomic Software Engineering for online cultural experiences”.
Publisher copyright:
© 2012 Springer-Verlag Berlin Heidelberg
PY - 2012/10/18
Y1 - 2012/10/18
N2 - This paper proposes a system that allows a group of human users to share their cultural experiences online, like buying together a gift from a museum or browsing simultaneously the collection of this museum. We show that such application involves two multiple criteria decision problems for choosing between different alternatives (e.g. possible gifts): one at the level of each user, and one at the level of the group for making joint decisions. The former is made manually by the users via the WeShare interface. This interface displays an image with tags reflecting some features (criteria) of the image. Each user expresses then his opinion by rating the image and each tag. A user may change his choices in light of a report provided by his WeShare agent on the opinion of the group. Joint decisions are made in an automatic way. We provide a negotiation protocol which shows how they are reached. Both types of decisions are based on the notion of argument. Indeed, a tag which is liked by a user constitutes an argument pro the corresponding image whereas a tag which is disliked gives birth to a cons argument. These arguments may have different strengths since a user may express to what extent he likes/dislikes a given tag. Finally, the opinion analysis performed by a WeShare agent consists of aggregating the arguments of the users.
AB - This paper proposes a system that allows a group of human users to share their cultural experiences online, like buying together a gift from a museum or browsing simultaneously the collection of this museum. We show that such application involves two multiple criteria decision problems for choosing between different alternatives (e.g. possible gifts): one at the level of each user, and one at the level of the group for making joint decisions. The former is made manually by the users via the WeShare interface. This interface displays an image with tags reflecting some features (criteria) of the image. Each user expresses then his opinion by rating the image and each tag. A user may change his choices in light of a report provided by his WeShare agent on the opinion of the group. Joint decisions are made in an automatic way. We provide a negotiation protocol which shows how they are reached. Both types of decisions are based on the notion of argument. Indeed, a tag which is liked by a user constitutes an argument pro the corresponding image whereas a tag which is disliked gives birth to a cons argument. These arguments may have different strengths since a user may express to what extent he likes/dislikes a given tag. Finally, the opinion analysis performed by a WeShare agent consists of aggregating the arguments of the users.
KW - Decision Model
KW - Human User
KW - Aggregation Operator
KW - Joint Decision
KW - Negotiation Protocol
UR - http://www.scopus.com/inward/record.url?scp=84869467514&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34620-0_26
DO - 10.1007/978-3-642-34620-0_26
M3 - Conference proceeding
AN - SCOPUS:84869467514
SN - 9783642346194
T3 - Lecture Notes in Computer Science
SP - 282
EP - 293
BT - Modeling Decisions for Artificial Intelligence
A2 - Torra, Vicenç
A2 - Narukawa, Yasuo
A2 - López, Beatriz
A2 - Villaret, Mateu
PB - Springer Berlin Heidelberg
Y2 - 21 November 2012 through 23 November 2012
ER -
