| Autor: |
Eva-Maria Schön, Jens Hellmers, Jörg Thomaschewski |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 2, Iss 6, Pp 26-32 (2014) |
| Druh dokumentu: |
article |
| ISSN: |
1989-1660 |
| DOI: |
10.9781/ijimai.2014.263 |
| Popis: |
The internet provides a wide range of scientific information for different areas of research, used by the related scientific communities. Often the design or architecture of these web pages does not correspond to the mental model of their users. As a result the wanted information is difficult to find. Methods established by Usability Engineering and User Experience can help to increase the appeal of scientific internet information services by analyzing the users’ requirements. This paper describes a procedure to analyze and optimize scientific internet information services that can be accomplished with relatively low effort. It consists of a combination of methods that already have been successfully applied to practice: Personas, usability inspections, Online Questionnaire, Kano model and Web Analytics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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