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Tech Report kmi-96-02 Abstract


Supporting Evaluation in Design
Techreport ID: kmi-96-02
Date: 1996
Author(s): Nathalie Bonnardel and Tamara Sumner

Design problem-solving requires designers to be creative and to express evaluative judgments. Designers propose successive partial solutions and evaluate these solutions with respect to various criteria and constraints. Evaluation plays a major role in design because each successive evaluation step guides the course of design activity. However, evaluation of design solutions is difficult for both experienced and inexperienced designers because: (1) in complex domains, no single person can know all the relevant criteria and constraints, and (2) design solutions must be evaluated from multiple, and sometimes conflicting, perspectives. Domain-oriented design environments have been proposed as computational tools supporting designers to construct and evaluate design solutions. Critiquing systems embedded in these environments support evaluation activities by analysing design solutions for compliance with criteria and constraints encoded in the system's knowledge-base. To investigate the impact of such systems, we have designed, built, and evaluated a domain-oriented design environment for a specific area: phone-based interface design. Professional designers were observed using the design environment to solve a complex design task. Analyses of these design sessions enabled us to identify reactions common to all designers, as well as reactions depending on the designers' level of domain experience.

Publication(s):

Acta Psychologica 91, (1996) 221-244
 
KMi Publications 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.

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