Design and Feasibility Evaluation of Self-Reporting Application for Indoor Air Quality and Health Measures

Heidi Similä (Corresponding Author), Salla Muuraiskangas, Jussi Ronkainen, Kaisa Vehmas, Johanna Kallio

    Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review


    Indoor air quality (IAQ) plays an important role in human health as people spend the majority of their time indoors. A self-reporting application was developed to collect long-term perceived IAQ data and symptoms caused by poor IAQ immediately at the onset of symptoms. The feasibility of the application was tested in a real-world environment by four teachers in two school buildings for 18 weeks. The participants received two questionnaire notifications per day to answer IAQ, symptoms, productivity, stress, sleep, and pupil concentration/restlessness related questions. They were also able to report those issues any other time. During the pilot, the participants answered 569 questionnaires in the application. They found the application to be usable and useful, however, the frequency of questionnaire notifications became heavy, because the perceived IAQ did not change much. The feasibility study showed the potential of the self-reporting application to capture perceived IAQ and symptoms, promptly enabling fast reaction to possible problems in IAQ.
    Original languageEnglish
    Number of pages12
    Issue number1
    Publication statusPublished - Nov 2019
    MoE publication typeA4 Article in a conference publication
    Event13th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2019 - Toledo, Spain
    Duration: 2 Dec 20195 Dec 2019


    • perceived air quality
    • indoor air quality
    • mobile application
    • user experience


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