Personal routine visualization using mobile devices

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This demonstration presents work done in the TimeMachine project with the goal to explore patterns in everyday life using a mobile application. This mobile application captures GPS data and uses this information to provide a subjective map of the user behavior using several visualizations. The project resorts to a rigorous data capture and processing approach with the goal of providing meaningful visualizations to the users. The visualizations depart from common map based representations as time is the main variable that is considered. Routines are represented through time based variables such as duration and frequency (for a given place or set of places) and a glimpse of the future is also provided considering what happened in the past. The demonstration presents the current version of the mobile application and desktop based tools used to extract information or prototype additional visualizations.
Original languageUnknown
Title of host publicationMUM '12
Pages58:1-58:3
DOIs
Publication statusPublished - 1 Jan 2012
EventMobile and Ubiquitous Multimedia - MUM -
Duration: 1 Jan 2012 → …

Conference

ConferenceMobile and Ubiquitous Multimedia - MUM
Period1/01/12 → …

Keywords

    Cite this

    @inproceedings{cf04297d20d645aabf12b8c09db5c3b1,
    title = "Personal routine visualization using mobile devices",
    abstract = "This demonstration presents work done in the TimeMachine project with the goal to explore patterns in everyday life using a mobile application. This mobile application captures GPS data and uses this information to provide a subjective map of the user behavior using several visualizations. The project resorts to a rigorous data capture and processing approach with the goal of providing meaningful visualizations to the users. The visualizations depart from common map based representations as time is the main variable that is considered. Routines are represented through time based variables such as duration and frequency (for a given place or set of places) and a glimpse of the future is also provided considering what happened in the past. The demonstration presents the current version of the mobile application and desktop based tools used to extract information or prototype additional visualizations.",
    keywords = "Visualization, time, mobile devices, geographical information processing",
    author = "Correia, {Nuno Manuel Robalo}",
    year = "2012",
    month = "1",
    day = "1",
    doi = "10.1145/2406367.2406437",
    language = "Unknown",
    isbn = "978-1-4503-1815-0",
    pages = "58:1--58:3",
    booktitle = "MUM '12",

    }

    Correia, NMR 2012, Personal routine visualization using mobile devices. in MUM '12. pp. 58:1-58:3, Mobile and Ubiquitous Multimedia - MUM, 1/01/12. https://doi.org/10.1145/2406367.2406437

    Personal routine visualization using mobile devices. / Correia, Nuno Manuel Robalo.

    MUM '12. 2012. p. 58:1-58:3.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Correia, Nuno Manuel Robalo

    PY - 2012/1/1

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    N2 - This demonstration presents work done in the TimeMachine project with the goal to explore patterns in everyday life using a mobile application. This mobile application captures GPS data and uses this information to provide a subjective map of the user behavior using several visualizations. The project resorts to a rigorous data capture and processing approach with the goal of providing meaningful visualizations to the users. The visualizations depart from common map based representations as time is the main variable that is considered. Routines are represented through time based variables such as duration and frequency (for a given place or set of places) and a glimpse of the future is also provided considering what happened in the past. The demonstration presents the current version of the mobile application and desktop based tools used to extract information or prototype additional visualizations.

    AB - This demonstration presents work done in the TimeMachine project with the goal to explore patterns in everyday life using a mobile application. This mobile application captures GPS data and uses this information to provide a subjective map of the user behavior using several visualizations. The project resorts to a rigorous data capture and processing approach with the goal of providing meaningful visualizations to the users. The visualizations depart from common map based representations as time is the main variable that is considered. Routines are represented through time based variables such as duration and frequency (for a given place or set of places) and a glimpse of the future is also provided considering what happened in the past. The demonstration presents the current version of the mobile application and desktop based tools used to extract information or prototype additional visualizations.

    KW - Visualization

    KW - time

    KW - mobile devices

    KW - geographical information processing

    U2 - 10.1145/2406367.2406437

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    M3 - Conference contribution

    SN - 978-1-4503-1815-0

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