Towards Community Browsing for Shared Experiences: The WeBrowse System
Publication Type:
Conference PaperSource:
The first International Conference on Agreement Technologies, Dubrovnik, Croatia (2012)Keywords:
shared browsingAbstract:
We introduce the new concept of community browsing: a group of people browsing the web together and simultaneously. Community browsing is part of the broader notion of shared experience, where individuals share the experience of an event. We have developed a prototype of a mobile application that enables community browsing, and involves new technologies such as a peer-to-peer Electronic Institution and bipolar preference aggregation.
Sharing online cultural experiences: An argument-based approach
Publication Type:
Conference PaperSource:
The 9th International Conference on Modeling Decisions for Artificial Intelligence, Springer-Verlag, Girona, Catalonia (2012)Keywords:
shared experiences; group decisions; argumentationAbstract:
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 re?ecting 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.
