MapRecorder: analysing real-world usage of mobile map applications

GL Savino; M Sturdee; S Rundé; C Lohmeier; B Hecht; C Prandi; NJ Nunes; J Schöning

doi:10.1080/0144929X.2020.1714733

MapRecorder: analysing real-world usage of mobile map applications

GL Savino, M Sturdee, S Rundé, C Lohmeier, B Hecht, C Prandi, NJ Nunes, J Schöning

School of Computer Science

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

5 Downloads (Pure)

Abstract

Millions of people use mobile map applications like Google Maps on a regular basis. However, despite these applications' ubiquity, the literature contains very little information about how these applications are used in the real world. As such, many researchers and practitioners seeking to improve mobile map applications may not be able to identify important challenges and may miss major opportunities for innovation. To address this paucity of usage information, we collected and analysed data during unsupervised usage of Google Maps by replacing the standard application with a wrapped version called MapRecorder. In two studies we recorded data from locals and tourists using our application and collected over 580 minutes of actual application usage from 34 users, spanning 555 unique sessions. We identify typical usage scenarios, observe a large amount of map exploration and elucidate generalisable interaction patterns.

Original language	English
Pages (from-to)	646-662
Number of pages	17
Journal	Behaviour & Information Technology
Volume	40
Issue number	7
DOIs	https://doi.org/10.1080/0144929X.2020.1714733
Publication status	Published - 19 May 2021

Keywords

Mobile map usage
Actual use
Human-computer interaction
Navigation
User need analysis

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10.1080/0144929X.2020.1714733Licence: CC BY-NC-ND

Savino_2021_BIT_MapRecorder_VoR
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Final published version, 3.06 MBLicence: CC BY-NC-ND

Cite this

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title = "MapRecorder: analysing real-world usage of mobile map applications",

abstract = "Millions of people use mobile map applications like Google Maps on a regular basis. However, despite these applications' ubiquity, the literature contains very little information about how these applications are used in the real world. As such, many researchers and practitioners seeking to improve mobile map applications may not be able to identify important challenges and may miss major opportunities for innovation. To address this paucity of usage information, we collected and analysed data during unsupervised usage of Google Maps by replacing the standard application with a wrapped version called MapRecorder. In two studies we recorded data from locals and tourists using our application and collected over 580 minutes of actual application usage from 34 users, spanning 555 unique sessions. We identify typical usage scenarios, observe a large amount of map exploration and elucidate generalisable interaction patterns.",

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author = "GL Savino and M Sturdee and S Rund{\'e} and C Lohmeier and B Hecht and C Prandi and NJ Nunes and J Sch{\"o}ning",

note = "This work was supported by Volkswagen Foundation [Lichtenbergprofessorship].",

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AU - Savino, GL

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AU - Rundé, S

AU - Lohmeier, C

AU - Hecht, B

AU - Prandi, C

AU - Nunes, NJ

AU - Schöning, J

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KW - Human-computer interaction

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MapRecorder: analysing real-world usage of mobile map applications

Abstract

Keywords

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