Investigating how users engage with a pedometer app

Parvin Asadzadeh; John Rooksby; Matthew Chalmers

doi:10.1145/2968219.2971589

Investigating how users engage with a pedometer app

Parvin Asadzadeh, John Rooksby, Matthew Chalmers

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Mobile application usage data has been investigated by many researchers to explore reasoning about users' contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.

Original language	English
Title of host publication	UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Publisher	ACM
Pages	612-617
Number of pages	6
ISBN (Electronic)	9781450344623
DOIs	https://doi.org/10.1145/2968219.2971589
Publication status	Published - 12 Sept 2016
Externally published	Yes
Event	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016

Conference

Conference	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
Country/Territory	Germany
City	Heidelberg
Period	12/09/16 → 16/09/16

Keywords

App Usage Patterns
Interaction Logs
Mobile Applications
Personal Informatics

Access to Document

10.1145/2968219.2971589

Cite this

@inproceedings{446864d3256e4d3b8731e1bdb6d28c45,

title = "Investigating how users engage with a pedometer app",

abstract = "Mobile application usage data has been investigated by many researchers to explore reasoning about users' contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.",

keywords = "App Usage Patterns, Interaction Logs, Mobile Applications, Personal Informatics",

author = "Parvin Asadzadeh and John Rooksby and Matthew Chalmers",

year = "2016",

month = sep,

day = "12",

doi = "10.1145/2968219.2971589",

language = "English",

pages = "612--617",

booktitle = "UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

publisher = "ACM",

address = "United States",

note = "2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 ; Conference date: 12-09-2016 Through 16-09-2016",

}

Asadzadeh, P, Rooksby, J & Chalmers, M 2016, Investigating how users engage with a pedometer app. in UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, pp. 612-617, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 12/09/16. https://doi.org/10.1145/2968219.2971589

TY - GEN

T1 - Investigating how users engage with a pedometer app

AU - Asadzadeh, Parvin

AU - Rooksby, John

AU - Chalmers, Matthew

PY - 2016/9/12

Y1 - 2016/9/12

N2 - Mobile application usage data has been investigated by many researchers to explore reasoning about users' contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.

AB - Mobile application usage data has been investigated by many researchers to explore reasoning about users' contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.

KW - App Usage Patterns

KW - Interaction Logs

KW - Mobile Applications

KW - Personal Informatics

U2 - 10.1145/2968219.2971589

DO - 10.1145/2968219.2971589

M3 - Conference contribution

AN - SCOPUS:84991093317

SP - 612

EP - 617

BT - UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

PB - ACM

T2 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016

Y2 - 12 September 2016 through 16 September 2016

ER -

Investigating how users engage with a pedometer app

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this