Cited by 87Mobile and Web ApplicationsUsability and User Interface DesignContext-Aware Activity Recognition Systems

Context-Based Adaptation of Mobile Applications in Tourism

Open access
Höpken, Wolfram, Fuchs, Matthias, Zanker, Markus, Beer, Thomas·2010·Information Technology & Tourism

Abstract

Mobile guides (based on PDAs, smart phones, or mobile phones) play an increasingly important role in tourism, giving tourists ubiquitous access to relevant information especially during their trip. Due to a more difficult access to mobile applications in a ubiquitous usage environment, based on time constraints, lighting conditions, bandwidth, etc., user acceptance of mobile applications strongly depends on the application adaptation to the concrete usage context. This article presents a framework for mobile applications in tourism, enabling a flexible implementation of adaptive, context-aware tourism applications. The framework especially provides approaches for user interface adaptation, content adaptation (recommendation), and interaction modality adaptation. The framework has been prototypically instantiated and evaluated in two different application scenarios, a city guide for the city of Innsbruck and a skiing guide for the ski resort DolomitiSuperski. Both application scenarios showed high usage rates and customer satisfaction and proved the applicability and effectiveness of the presented approach for developing adaptive mobile tourism applications.

Integrity signals

Registry

Crossref · 10.3727/109830510x12887971002783

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Social media interaction data can produce tailored tourism marketing messages that reflect tourists' internal context.

    “This data can be used to generate highly personalised tourism marketing messages based on their internal context (Hoepken et al., 2010).”

    From SoCoMo marketing for travel and tourism: Empowering co-creation of value (2015) · cites this paper as Hoepken et al., 2010

Cited by

Sorted by citations

Authors
Höpken, W., Fuchs, M., Zanker, M., & Beer, T.
Affiliations
  • University of Applied Sciences Ravensburg-Weingarten (DE)
  • University of Klagenfurt (AT)
Venue
Information Technology & Tourism
Published
2010-04-01
Volume
12
Issue
2
Pages
175-195
ISSN
1098-3058 (ISSN-L)
OpenAlex
W2094380528
Cited by
87
References
0
Citations by year
2026: 2 · 2024: 3 · 2023: 3 · 2022: 8 · 2021: 5 · 2020: 9 · 2019: 6 · 2018: 2 · 2017: 9 · 2016: 8 · 2015: 8 · 2014: 8 · 2013: 13 · 2012: 2
FWCI
14.36
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Information Technology & Tourism (publishedVersion)
  • Publications (Mid Sweden University) (submittedVersion, other-oa)
  • Open Research (University of Surrey) (submittedVersion)
Funders
Korea Environment Corporation
Topics
  • Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
context-aware mobile applications, adaptive user interfaces, content recommendation, ubiquitous computing, city guide, user acceptance, Innsbruck

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review