- AutorIn
- Maxim Bakaev
- Prof. Martin Gaedke
- Sebastian Heil
- Titel
- Kansei Engineering Experimental Research with University Websites
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa-210231
- Schriftenreihe
- Chemnitzer Informatik-Berichte
- Bandnummer
- CSR-16-01
- Erstveröffentlichung
- 2016
- ISSN
- 0947-5125
- Abstract (EN)
- This technical report presents the data and some results of the experimental research in the field of Human-Computer Interaction (Kansei Engineering), undertaken jointly by Technische Universität Chemnitz (Germany) and Novosibirsk State Technical University (Russia) in Feb- March 2016. In the experiment, 82 Master and Bachelor students of both universities evaluated 21 website of selected German and Russian universities per 10 emotional and 5 quality scales.
- Andere Ausgabe
- Link: https://www.tu-chemnitz.de/informatik/service/ib/index.php
- Freie Schlagwörter (EN)
- Human–computer interaction (HCI) , Interaction Design , Evolutionary Algorithm
- Klassifikation (DDC)
- 000
- Normschlagwörter (GND)
- Evolutionärer Algorithmus, Mensch-Maschine-Kommunikation
- Publizierende Institution
- Technische Universität Chemnitz, Chemnitz
- Version / Begutachtungsstatus
- eingereichte Version / Preprint
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa-210231
- Veröffentlichungsdatum Qucosa
- 18.10.2016
- Dokumenttyp
- Forschungsbericht
- Sprache des Dokumentes
- Englisch