Integrating wearable sensor technology into project-management process

Koji Ara, Tomoaki Akitomi, Nobuo Sato, Kunio Takahashi, Hideyuki Maeda, Kazuo Yano, Masao Yanagisawa

    Research output: Contribution to journalArticle

    2 Citations (Scopus)

    Abstract

    A sensor-based project management process, which uses continuous sensing data of face-to-face communication, was developed for integration into current project management processes. To establish a practical process, a sensing system was applied in two software-development projects involving 123 and 65 employees, respectively, to analyze the relation between work performance and behavioral patterns and investigate the use of sensor data. It was found that a factor defined as "communication richness," which refers to the amount of communication, correlates with employee performance (job evaluation) and was common in both projects, while other factors, such as "workload," were found in just one of the projects. Developers' quality of development (low bug occurrence) was also investigated in one of the projects and "communication richness" was found as a factor of high development quality. As a result of this analysis, we propose a four-step sensor-based project management process, which consists of analysis, monitoring, inspection, and action, and evaluated its effectiveness. Through monitoring, it was estimated that some "unplanned" events, such as changing specifications and problem solving during a project, could be systematically identified. Cohesion of a network was systematically increased using a recommendation of communication, called WorkX, which involves micro rotating of discussion members based on network topology.

    Original languageEnglish
    Pages (from-to)406-418
    Number of pages13
    JournalJournal of Information Processing
    Volume20
    Issue number2
    DOIs
    Publication statusPublished - 2012

    Fingerprint

    Project management
    Communication
    Sensors
    Personnel
    Monitoring
    Software engineering
    Inspection
    Topology
    Wearable sensors
    Specifications

    Keywords

    • Behavioral science
    • Communication
    • Performance analysis
    • Project management
    • Sensor network

    ASJC Scopus subject areas

    • Computer Science(all)

    Cite this

    Integrating wearable sensor technology into project-management process. / Ara, Koji; Akitomi, Tomoaki; Sato, Nobuo; Takahashi, Kunio; Maeda, Hideyuki; Yano, Kazuo; Yanagisawa, Masao.

    In: Journal of Information Processing, Vol. 20, No. 2, 2012, p. 406-418.

    Research output: Contribution to journalArticle

    Ara, Koji ; Akitomi, Tomoaki ; Sato, Nobuo ; Takahashi, Kunio ; Maeda, Hideyuki ; Yano, Kazuo ; Yanagisawa, Masao. / Integrating wearable sensor technology into project-management process. In: Journal of Information Processing. 2012 ; Vol. 20, No. 2. pp. 406-418.
    @article{ec8d71ed14a946708f33026bad879eca,
    title = "Integrating wearable sensor technology into project-management process",
    abstract = "A sensor-based project management process, which uses continuous sensing data of face-to-face communication, was developed for integration into current project management processes. To establish a practical process, a sensing system was applied in two software-development projects involving 123 and 65 employees, respectively, to analyze the relation between work performance and behavioral patterns and investigate the use of sensor data. It was found that a factor defined as {"}communication richness,{"} which refers to the amount of communication, correlates with employee performance (job evaluation) and was common in both projects, while other factors, such as {"}workload,{"} were found in just one of the projects. Developers' quality of development (low bug occurrence) was also investigated in one of the projects and {"}communication richness{"} was found as a factor of high development quality. As a result of this analysis, we propose a four-step sensor-based project management process, which consists of analysis, monitoring, inspection, and action, and evaluated its effectiveness. Through monitoring, it was estimated that some {"}unplanned{"} events, such as changing specifications and problem solving during a project, could be systematically identified. Cohesion of a network was systematically increased using a recommendation of communication, called WorkX, which involves micro rotating of discussion members based on network topology.",
    keywords = "Behavioral science, Communication, Performance analysis, Project management, Sensor network",
    author = "Koji Ara and Tomoaki Akitomi and Nobuo Sato and Kunio Takahashi and Hideyuki Maeda and Kazuo Yano and Masao Yanagisawa",
    year = "2012",
    doi = "10.2197/ipsjjip.20.406",
    language = "English",
    volume = "20",
    pages = "406--418",
    journal = "Journal of Information Processing",
    issn = "0387-5806",
    publisher = "Information Processing Society of Japan",
    number = "2",

    }

    TY - JOUR

    T1 - Integrating wearable sensor technology into project-management process

    AU - Ara, Koji

    AU - Akitomi, Tomoaki

    AU - Sato, Nobuo

    AU - Takahashi, Kunio

    AU - Maeda, Hideyuki

    AU - Yano, Kazuo

    AU - Yanagisawa, Masao

    PY - 2012

    Y1 - 2012

    N2 - A sensor-based project management process, which uses continuous sensing data of face-to-face communication, was developed for integration into current project management processes. To establish a practical process, a sensing system was applied in two software-development projects involving 123 and 65 employees, respectively, to analyze the relation between work performance and behavioral patterns and investigate the use of sensor data. It was found that a factor defined as "communication richness," which refers to the amount of communication, correlates with employee performance (job evaluation) and was common in both projects, while other factors, such as "workload," were found in just one of the projects. Developers' quality of development (low bug occurrence) was also investigated in one of the projects and "communication richness" was found as a factor of high development quality. As a result of this analysis, we propose a four-step sensor-based project management process, which consists of analysis, monitoring, inspection, and action, and evaluated its effectiveness. Through monitoring, it was estimated that some "unplanned" events, such as changing specifications and problem solving during a project, could be systematically identified. Cohesion of a network was systematically increased using a recommendation of communication, called WorkX, which involves micro rotating of discussion members based on network topology.

    AB - A sensor-based project management process, which uses continuous sensing data of face-to-face communication, was developed for integration into current project management processes. To establish a practical process, a sensing system was applied in two software-development projects involving 123 and 65 employees, respectively, to analyze the relation between work performance and behavioral patterns and investigate the use of sensor data. It was found that a factor defined as "communication richness," which refers to the amount of communication, correlates with employee performance (job evaluation) and was common in both projects, while other factors, such as "workload," were found in just one of the projects. Developers' quality of development (low bug occurrence) was also investigated in one of the projects and "communication richness" was found as a factor of high development quality. As a result of this analysis, we propose a four-step sensor-based project management process, which consists of analysis, monitoring, inspection, and action, and evaluated its effectiveness. Through monitoring, it was estimated that some "unplanned" events, such as changing specifications and problem solving during a project, could be systematically identified. Cohesion of a network was systematically increased using a recommendation of communication, called WorkX, which involves micro rotating of discussion members based on network topology.

    KW - Behavioral science

    KW - Communication

    KW - Performance analysis

    KW - Project management

    KW - Sensor network

    UR - http://www.scopus.com/inward/record.url?scp=84871240305&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84871240305&partnerID=8YFLogxK

    U2 - 10.2197/ipsjjip.20.406

    DO - 10.2197/ipsjjip.20.406

    M3 - Article

    AN - SCOPUS:84871240305

    VL - 20

    SP - 406

    EP - 418

    JO - Journal of Information Processing

    JF - Journal of Information Processing

    SN - 0387-5806

    IS - 2

    ER -