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Tech Report kmi-09-03 Abstract


Multi-Perspective Annotation of Digital Stories for Professional Knowledge Sharing within Health Care: Appendices
Techreport ID: kmi-09-03
Date: 2009
Author(s): Joanna Kwiat
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[We] dream in narrative, daydream in narrative, remember, anticipate, hope, despair, believe, doubt, plan, revise, criticize, construct, gossip, learn, hate, and love by narrative. Barbara Hardy, 1977.

This technical report contains supplementary data and findings from PhD research*, summarised in the abstract as follows:

"This thesis investigates the potential of narrative theory to inform the design of tools for sharing and annotating stories, in the context of professional knowledge sharing. It begins with a detailed review of the literature on modelling narrative, to establish the theoretical foundations for a narratologically-grounded annotation schema. Medicine is then selected for a tri-part study, since narrative-based approaches in healthcare education and practice are seen by many as significant.

The first part seeks evidence of narrative among medical professionals communicating spontaneously and informally online. The frequency and range of stories identified shows that this appears to be a common and valued mode of communication.

The second part envisions a Web story database (“storybase”) supporting flexible annotation grounded in a narratological metadata scheme. The model draws on various narrative structure theories, and in particular, point-structure. A story can be annotated via a graphical user interface on various dimensions, enabling multiple interpretations and dimensional weighting to facilitate the subsequent organisation, query and retrieval of stories.

The third part analyses users annotating representative samples of the stories abstracted from the corpus in part 1. Data is analysed quantitatively (annotation value clustering, questionnaire responses and task phase durations) coupled with a qualitative account of participant behaviour based on grounded theory video analysis. While this study has limitations, it validates both the expressiveness and usability of the story annotation schema, and shows that participants found the experience to be enjoyable and stimulating. Interaction analysis demonstrates the centrality of interface design in shaping annotation behaviour. This work motivates further storybase research, informing the design of future studies and storybase technologies."

This report also has three parts: Part A, B and C. Part A contains the stories identified in the first part of the tri-part study and may be read in conjunction with Chapter 4 of the thesis. Parts B and C contain respectively, users action and interaction data from the third part of this study; these may be read in conjunction with Chapters 8 and 9.

* Technical Report KMI-09-02, Knowledge Media Institute, The Open University, UK. http://kmi.open.ac.uk/publications/pdf/kmi-09-02.pdf

Publication(s):

Kwiat, J. (2009). Multi-Perspective Annotation of Digital Stories for Professional Knowledge Sharing within Health Care: Appendices. Technical Report KMI-09-03, Knowledge Media Institute, The Open University, UK. http://kmi.open.ac.uk/publications/pdf/kmi-09-03.pdf
 
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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.

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