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
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -