KMi Seminars
Digital resources in a complex web of perceptions
This event took place on Wednesday 13 October 2004 at 10:00

 
Dr. Anne Adams University College London Interaction Centre

This presentation provides an overview of several studies into the use of digital resources within the academic and health domains and a wide variety of communities of practice (e.g. computer and media studies, hospital and patient information). The findings present a complex web of issues resulting in users' poor awareness, usage and understanding of technology. A user's frustration with the technology e.g.

"It's like being given a Rolls Royce and only being able to sound the horn"

highlights interactions between social context, system design and implementation procedures.

The findings are viewed in the context of evolutionary and revolutionary approaches to design. The importance of 'communities of practice' and implementation strategies in informing design are also reviewed.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website