Year: 2006
Type: dissertation
Abstract: With digital cameras, camera phones, and camcorders connected to personal computers and the Internet, people are capturing, sharing, and storing more and more media created by themselves. This has created the organizing challenge called media management problem: how to browse and find media from the growing personal media collections. Metadata is seen as one of the most promising technologies to address this problem. Previous work on metadata design has focused on public or commercially produced media – not on media created by consumers for themselves or their social networks.\n\nTaking snapshot photography as a starting point, this dissertation looks into the media management problem from a user-centric design perspective. In this work, three consecutive systems were designed: MMM-1, MobShare, and PhotosToFriends. Each of these systems was evaluated in extensive user trials. The objective of the user trials was to provide a better understanding of the uses people have for mobile photos and metadata. The results gained from constructing the systems and the associated user trials are divided into three. First, they contribute to understanding social uses for mobile photographs: what was photographed, with whom were the photos shared, and what kind of social activity emerged. Second, the results can be applied into designing systems for photo sharing: the use of galleries, control over sharing, support for discussions, and social awareness and notifications. Third, what are the implications for metadata that the social uses and system design have.\n\nThe main implications are the inherent problem of personal photo information being contextual, dynamic, and highly semantic, and the strong coupling of metadata and its application. To address these problems we propose the concept of social metadata, which takes advantage of the social activity in photo sharing systems. The user-centric design approach also brings forth that content metadata generation should be approached from several angles – social metadata, user tagging and contextual information – in addition to the more traditional content-based analysis.
Source: Aaltodoc (Aalto University)
Author: Risto Sarvas
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2235751143