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Published in: GeoInformatica 3/2017

30-11-2016

Controllability matters: The user experience of adaptive maps

Authors: Peter Kiefer, Ioannis Giannopoulos, Vasileios Athanasios Anagnostopoulos, Johannes Schöning, Martin Raubal

Published in: GeoInformatica | Issue 3/2017

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Abstract

Adaptive map interfaces have the potential of increasing usability by providing more task dependent and personalized support. It is unclear, however, how map adaptation must be designed to avoid a loss of control, transparency, and predictability. This article investigates the user experience of adaptive map interfaces in the context of gaze-based activity recognition. In a Wizard of Oz experiment we study two adaptive map interfaces differing in the degree of controllability and compare them to a non-adaptive map interface. Adaptive interfaces were found to cause higher user experience and lower perceived cognitive workload than the non-adaptive interface. Among the adaptive interfaces, users clearly preferred the condition with higher controllability. Results from structured interviews reveal that participants dislike being interrupted in their spatial cognitive processes by a sudden adaptation of the map content. Our results suggest that adaptive map interfaces should provide their users with control at what time an adaptation will be performed.

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Footnotes
1
Example user comment on ‘Clippy’: ‘It’s not very helpful. You’ve got to stop what you’re doing and click on it.’ [56].
 
2
Transitions between different adaptation types are also possible, but not considered further here. For instance, a system could employ a transient automatic adaptation and then, once the adaptation automatically disappears, switch to another adaptation type, such as the toggable adaptation, offering manual adaptation. This does not form a new type of adaptation, but rather possible transitions between adaptation types.
 
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Metadata
Title
Controllability matters: The user experience of adaptive maps
Authors
Peter Kiefer
Ioannis Giannopoulos
Vasileios Athanasios Anagnostopoulos
Johannes Schöning
Martin Raubal
Publication date
30-11-2016
Publisher
Springer US
Published in
GeoInformatica / Issue 3/2017
Print ISSN: 1384-6175
Electronic ISSN: 1573-7624
DOI
https://doi.org/10.1007/s10707-016-0282-x

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