An empirical study on the usability of an information navigation aid
Authors: 
David Ribeiro Lamas, 
Jennifer Jerrams-Smith, David Heathcote, Feliz Ribeiro GouveiaAuthors Info & Claims
Pages 151 - 152
Abstract
The Computer Aided Information Navigation (CAIN) project provides a method of adaptive navigation support that aims to increase the World Wide Web's value as a pedagogical tool. To examine whether the system's approach improves comprehension under specific conditions, an experiment compared CAIN with conventional web tools on three measures of performance: comprehension scores, task completion times and user satisfaction. Results revealed that comprehension scores were 30% greater with CAIN than with the conventional tools and indicated that task completion times can also be reduced without compromising user satisfaction.
References
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Benyon, D. & Murray, D. "Adaptive systems: from intelligent tutoring to autonomous agents", Knowledge- Based Systems, 6.4, (1993): pp. 197-219.
[2]
Eklund, J. & Brusilovsky, P. "The value of adaptivity in hypermedia learning environments: a short review of empirical evidence", On-line proceedings of the Second Workshop on Adaptive Hypertext and Hypermedia, http://wwwis.win.tue.nl/ah98/Eklund.html, Agosto 29, 1998.
[3]
Lamas, D. "Adaptivity on the Internet", University of Portsmouth research seminars, University of Portsmouth, UK, 1998.
[4]
Lassila, O. & Swick, R. "Resource description framework RDF model and syntax", http://www.w3.org/Tr/WD-rdf-syntax/, Janeiro 9, 1998.
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Weibel, S. & Lagoze, C. "An element set to support resource discovery: the state of the Dublin Core: January 1997", International Journal on Digital Libraries, 1.2, (1997): pp 176-186.
Index Terms
- An empirical study on the usability of an information navigation aid
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Sponsors
- American Library Association: American Library Association Office of Info. Systems Policy
- SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
- British HCI Group
- AFIHM: Ass. Francophone d'Interaction Homme-Machine
- USACM: United States Association for Computational Mechanics
- SIGIR: ACM Special Interest Group on Information Retrieval
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
- SIGACCESS: ACM Special Interest Group on Accessible Computing
- SIGCAS: ACM Special Interest Group on Computers and Society
- SIGDOC: ACM Special Interest Group for Design of Communications
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Association for Computing Machinery
New York, NY, United States
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Published: 01 November 2000
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