Sharing Online Cultural Experiences: An Argument-Based Approach

Abstract

Abstract. 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 which has a particular form. 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.

Engineering multiuser museum interactives for shared cultural experiences

“…For example, the system could decide which artefact is worthy to be added to a group collection by merging user preferences [52]; or it could decide whether the artefact is collectively accepted by a group of users by considering user evaluations about certain criteria of the artefact itself like in multiple criteria decision making [44]; or assist users in reaching agreements by argument exchange like in argument-based negotiation [6]. These cases, that are essentially decision making problems, can be solved by defining different decision principles that take the preferences of the users into account and compute the decision of the group as a whole.…”

“…We validate our scene-based design and, consequently, our EI model, from the social behaviour of users that emerged naturally during the curation task. This paper unifies and develops the content of the conference papers [6,53,29] by describing the underlying peer-to-peer EI infrastructure and presenting an analysis of the decision making models employed by the agents. The evaluation is based on data collected from cultural exhibitions in which WeCurate was used as a supporting multiuser museum interactive.…”