UZH-Logo

How do decision time and realism affect map-based decision making?


Wilkening, J; Fabrikant, Sara I (2011). How do decision time and realism affect map-based decision making? In: Egenhofer, M; Giudice, N; Moratz, R; Worboys, M. Spatial Information Theory. Heidelberg: Springer, 1-19.

Abstract

We commonly make decisions based on different kinds of maps, and under varying time constraints. The accuracy of these decisions often can decide even over life and death. In this study, we investigate how varying time constraints and different map types can influence people’s visuo-spatial decision making, specifically for a complex slope detection task involving three spatial dimensions. We find that participants’ response accuracy and response confidence do not decrease linearly, as hypothesized, when given less response time. Assessing collected responses within the signal detection theory framework, we find that different inference error types occur with different map types. Finally, we replicate previous findings suggesting that while people might prefer more realistic looking maps, they do not necessarily perform better with them.

We commonly make decisions based on different kinds of maps, and under varying time constraints. The accuracy of these decisions often can decide even over life and death. In this study, we investigate how varying time constraints and different map types can influence people’s visuo-spatial decision making, specifically for a complex slope detection task involving three spatial dimensions. We find that participants’ response accuracy and response confidence do not decrease linearly, as hypothesized, when given less response time. Assessing collected responses within the signal detection theory framework, we find that different inference error types occur with different map types. Finally, we replicate previous findings suggesting that while people might prefer more realistic looking maps, they do not necessarily perform better with them.

Citations

2 citations in Web of Science®
1 citation in Scopus®
Google Scholar™

Altmetrics

Downloads

3 downloads since deposited on 25 Nov 2011
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2011
Deposited On:25 Nov 2011 12:56
Last Modified:05 Apr 2016 15:07
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:6899
ISSN:0302-9743
ISBN:978-3-642-23195-7
Additional Information:10th International Conference, COSIT 2011, Belfast, ME, USA, September 12-16, 2011. Proceedings
Publisher DOI:10.1007/978-3-642-23196-4_1
Permanent URL: http://doi.org/10.5167/uzh-51324

Download

[img]
Content: Accepted Version
Filetype: PDF - Registered users only
Size: 454kB
View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations