Prototype Testing for a Destination Recommender System: Steps, Procedures and Implications

Hildegard Rumetshofer, Erwin Schaumlechner, Andreas H. Zins, Fabio Del Missier, Nicole Mitsche, Francesco Ricci, Ulrike Bauernfeind

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

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 languageEnglish
Title of host publicationConference Proceedings ENTER 2004
Editors Andrew J. Frew
Place of PublicationWien, New York
PublisherSpringer Verlag
Pages249-259
Number of pages11
VolumeENTER 2004
ISBN (Print)3-211-20669-8
Publication statusPublished - Jan 2004

Publication series

NameSpringer Computer Science

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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