Prototyping an intelligent agent through Wizard of Oz
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Interest based selection of user generated content for rich communication services
Journal of Network and Computer Applications
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This paper presents the results of a user study carried out to evaluate an application prototype in which an audio-visual chat conversation between two users is augmented by pictures related to the topics of that conversation. The prototype analyses the conversation and deducts the topic of conversation by means of a keyword tree, augmented by an ontology. Then it retrieves pictures from Flickr based on this topic, after which the pictures are shown to the users. This mechanism is called conversation-based image retrieval. 15 participants were recruited for this user study; the duration of one session was approximately 30 minutes. Eye tracking and questionnaires were used to evaluate participants' experiences. We found that participants value the use of pictures to augment an audio-visual chat application. Furthermore, participants claimed they would use it in a social context: talking to family, friends and acquaintances. One significant improvement over the prototype would be to use their own pictures (personal user-generated content) instead of just random pictures.