Abstract
This paper describes and discusses the application of various state-of-the-art techniques to improve the design and usability of a web application in the B2C area. It is illustrated by the ongoing project of developing an intelligent destination recommender system (DieToRecs). These techniques comprise four particular evaluation steps: 1. a concept test, 2. a cognitive walkthrough, 3. a heuristic evaluation, and 4. an experimental evaluation by system users. Each section (i.e. evaluation step) addresses three areas of interest: a) the starting situation and objective, b) a short description of the applied method and the procedure, c) a brief summary of the results and the lessons learned for the general use of evaluative techniques.
| Original language | English |
|---|---|
| Title of host publication | Conference Proceedings ENTER 2004 |
| Editors | Andrew J. Frew |
| Place of Publication | Wien, New York |
| Publisher | Springer Verlag |
| Pages | 249-259 |
| Number of pages | 11 |
| Volume | ENTER 2004 |
| ISBN (Print) | 3-211-20669-8 |
| Publication status | Published - Jan 2004 |
Publication series
| Name | Springer Computer Science |
|---|
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 16 Peace, Justice and Strong Institutions
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
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