Tourism Information Systems Promoting Barrier-Free Tourism for People with Disabilities

Hildegard Rumetshofer, Wolfram Wöß

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

Abstract

Providing comprehensive accessibility is the major challenge for tourism service providers to address people with disabilities (and older people) as growing consumer groups. Information about accessibility of tourism objects (accomodation, sights, streets, parks, etc.) is equally important as barrier-free tourism information systems to support the booking and decision making process. Consequently, this paper introduces the extension of tourism information systems in a twofold way. First, each tourism object is provided with information about its accessibility realized by additional meta data information. Second, based on user profiles content presentation and user interface navigation are dynamically adapted to the user's individual needs in order to support appropriate search as well as presentation features.
Original languageEnglish
Title of host publicationComputers Helping People with Special Needs, 9th Int. Conference, ICCHP 2004, Paris , France, Proceedings
Editors Klaus Miesenberger, Joachim Klaus, Wolfgang Zagler, Dominique Burger
PublisherSpringer-Verlag Berlin Heidelberg New York
Pages280-286
Number of pages7
VolumeLNCS 3118
ISBN (Print)3-540-22334-7
Publication statusPublished - Jul 2004

Publication series

NameLecture Notes in Computer Science (LNCS)
ISSN (Print)0302-9743

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

Cite this