A Large-Scale Quantitative Survey of the German Geocaching Community in 2007

Joint Authors

Kr?ger, Antonio
Schöning, Johannes
Telaar, Daniel

Source

Advances in Human-Computer Interaction

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-26

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Mathematics

Abstract EN

We present a large-scale quantitative contextual survey of the geocaching community in Germany, one of the world’s largest geocaching communities.

We investigate the features, attitudes, interests, and motivations that characterise the German geocachers.

Two anonymous surveys have been carried out on this issue in the year 2007.

We conducted a large-scale qualitative general study based on web questionnaires and a more targeted study, which aimed at a comprehensive amount of revealed geocaches of a certain region.

With sample sizes of n=1982 (study 1: general study) and n=310 (study 2: regional study) we provide a representative basis to ground previous qualitative research in this domain.

In addition, we investigated the usage of technology in combination with traditional paper-based media by the geocachers.

This knowledge can be used to reflect on past and future trends within the geocaching community.

American Psychological Association (APA)

Telaar, Daniel& Kr?ger, Antonio& Schöning, Johannes. 2014. A Large-Scale Quantitative Survey of the German Geocaching Community in 2007. Advances in Human-Computer Interaction،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-458002

Modern Language Association (MLA)

Telaar, Daniel…[et al.]. A Large-Scale Quantitative Survey of the German Geocaching Community in 2007. Advances in Human-Computer Interaction Vol. (2014), pp., pp.1-11.
https://search.emarefa.net/detail/BIM-458002

American Medical Association (AMA)

Telaar, Daniel& Kr?ger, Antonio& Schöning, Johannes. A Large-Scale Quantitative Survey of the German Geocaching Community in 2007. Advances in Human-Computer Interaction. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-458002

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-458002