Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74320
Title: A field experiment on capabilities involved in mobile navigation task
Authors: Li, Q 
Luximon, Y 
Keywords: Aging
Capability
Mobile technology
Navigation task
User characteristics
Issue Date: 2017
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2017, v. 10298, p. 68-78 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: An increasing usage of mobile technologies has been seen among diverse age groups of users in recent years. The limited screen size and multiple interaction styles inevitably produce much more workload on mobile technologies useMergeCell thus it is necessary to investigate the possible capabilities involved in mobile navigation tasks. The particular interests of this study are the cognitive capabilities, namely spatial ability, short-term memory and processing speed and attention, as well as the visual abilities including vision acuity and visual perception of digital screens. Fifteen participants who covered a wide age range attended in this field experiment to complete several navigation tasks with three levels of complexity using an experimental mobile application. The results suggest that the capability of processing speed and attention is more important than the other capabilities for navigation performance and subjective preference. Specifically, the capability of processing speed and attention is significantly correlated with user characteristics, including age, education experience, and technology experience. The results can help designers to address the major capabilities involved in mobile navigation tasks to make relevant allowance to include more possible users, such as elderly people.
Description: 3rd International Conference on Human Aspects of IT for the Aged Population, ITAP 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017, 9 - 14 July 2017
URI: http://hdl.handle.net/10397/74320
ISBN: 9783319585352
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-58536-9_6
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