Affective Quality Assessment for Android Applications Using Q Sensor

Ghada Al-Hudhud
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Ghada Al-Hudhud: Information Technology Department, King Saud University, Saudi Arabia

Biostatistics and Biometrics Open Access Journal, 2017, vol. 2, issue 1, 1-6

Abstract: Elderly assistive mobile technologies are highly demanded in order to reduce care givers effort. In this context, and due to the aging memory loss and busy schedules for adults, mobile health assistive applications (MHAA) are highly demanded. MHAA would assist remembering daily activities. Emotion detection based mobile technologies are recently considered a revolution in building affective and health mobile applications. Despite, there are several global standard ISO 9126 and standards in the field to evaluate the quality of mobile software products, yet, there is a lack of health directed quality assessment framework. This raised the needs for affective quality assessment for such technologies that is conducted with the emotional states analysis of physiological data.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:2:y:2017:i:1:p:1-6

DOI: 10.19080/BBOAJ.2017.02.555576

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