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  • Maprecorder_Savino_et_al

    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Behavior and Information Technology on 12/02/2020, available online: https://www.tandfonline.com/doi/abs/10.1080/0144929X.2020.1714733

    Accepted author manuscript, 4.98 MB, PDF document

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MapRecorder: Analysing real-world usage of mobile map applications

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

MapRecorder: Analysing real-world usage of mobile map applications. / Savino, G.-L.; Sturdee, M.; Rundé, S. et al.
In: Behaviour and Information Technology, Vol. 40, No. 7, 31.07.2021, p. 646-662.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Savino, G-L, Sturdee, M, Rundé, S, Lohmeier, C, Hecht, B, Prandi, C, Nunes, NJ & Schöning, J 2021, 'MapRecorder: Analysing real-world usage of mobile map applications', Behaviour and Information Technology, vol. 40, no. 7, pp. 646-662. https://doi.org/10.1080/0144929X.2020.1714733

APA

Savino, G.-L., Sturdee, M., Rundé, S., Lohmeier, C., Hecht, B., Prandi, C., Nunes, N. J., & Schöning, J. (2021). MapRecorder: Analysing real-world usage of mobile map applications. Behaviour and Information Technology, 40(7), 646-662. https://doi.org/10.1080/0144929X.2020.1714733

Vancouver

Savino GL, Sturdee M, Rundé S, Lohmeier C, Hecht B, Prandi C et al. MapRecorder: Analysing real-world usage of mobile map applications. Behaviour and Information Technology. 2021 Jul 31;40(7):646-662. Epub 2020 Feb 12. doi: 10.1080/0144929X.2020.1714733

Author

Savino, G.-L. ; Sturdee, M. ; Rundé, S. et al. / MapRecorder : Analysing real-world usage of mobile map applications. In: Behaviour and Information Technology. 2021 ; Vol. 40, No. 7. pp. 646-662.

Bibtex

@article{8679b2b3370d4006a0b57a04ad098c8a,
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.",
keywords = "Mobile map usage, navigation, human-computer interaction, actual use, user need analysis",
author = "G.-L. Savino and M. Sturdee and S. Rund{\'e} and C. Lohmeier and B. Hecht and C. Prandi and N.J. Nunes and J. Sch{\"o}ning",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in Behavior and Information Technology on 12/02/2020, available online: https://www.tandfonline.com/doi/abs/10.1080/0144929X.2020.1714733",
year = "2021",
month = jul,
day = "31",
doi = "10.1080/0144929X.2020.1714733",
language = "English",
volume = "40",
pages = "646--662",
journal = "Behaviour and Information Technology",
issn = "0144-929X",
publisher = "Taylor and Francis Ltd.",
number = "7",

}

RIS

TY - JOUR

T1 - MapRecorder

T2 - Analysing real-world usage of mobile map applications

AU - Savino, G.-L.

AU - Sturdee, M.

AU - Rundé, S.

AU - Lohmeier, C.

AU - Hecht, B.

AU - Prandi, C.

AU - Nunes, N.J.

AU - Schöning, J.

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Behavior and Information Technology on 12/02/2020, available online: https://www.tandfonline.com/doi/abs/10.1080/0144929X.2020.1714733

PY - 2021/7/31

Y1 - 2021/7/31

N2 - 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.

AB - 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.

KW - Mobile map usage

KW - navigation

KW - human-computer interaction

KW - actual use

KW - user need analysis

U2 - 10.1080/0144929X.2020.1714733

DO - 10.1080/0144929X.2020.1714733

M3 - Journal article

VL - 40

SP - 646

EP - 662

JO - Behaviour and Information Technology

JF - Behaviour and Information Technology

SN - 0144-929X

IS - 7

ER -