TY - GEN
T1 - Using emotions to empower the self-adaptation capability of software services
AU - Condori-Fernandez, Nelly
AU - Lopez, Franci Suni
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - Traditional self-adaptive systems research has focused on external contextual aspects such as performance, system reaction to environment. In this paper, we introduce the idea of measuring emotions in order to empower the adaptability of software services at runtime. We present two type of monitoring mechanisms and an adaptive adaptation strategy, which were implemented as part of the HAPPYNESS middleware. A preliminary test using data from the Empatica repository was carried out with the purpose of assessing the goodness of the controller (i.e. inference engine), a component of our middleware. The obtained results were consistent with the expected values. Moreover, we test also the connectivity and synchronization between E4-Wristband and an adaptive mobile application that were used by two volunteer users.
AB - Traditional self-adaptive systems research has focused on external contextual aspects such as performance, system reaction to environment. In this paper, we introduce the idea of measuring emotions in order to empower the adaptability of software services at runtime. We present two type of monitoring mechanisms and an adaptive adaptation strategy, which were implemented as part of the HAPPYNESS middleware. A preliminary test using data from the Empatica repository was carried out with the purpose of assessing the goodness of the controller (i.e. inference engine), a component of our middleware. The obtained results were consistent with the expected values. Moreover, we test also the connectivity and synchronization between E4-Wristband and an adaptive mobile application that were used by two volunteer users.
KW - (self) adaptive services
KW - E4-Wristband
KW - medication adherence
KW - physiological data
KW - stress
UR - http://www.scopus.com/inward/record.url?scp=85025843493&partnerID=8YFLogxK
U2 - 10.1109/SEmotion.2017.8
DO - 10.1109/SEmotion.2017.8
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85025843493
T3 - Proceedings - 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering, SEmotion 2017
SP - 15
EP - 21
BT - Proceedings - 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering, SEmotion 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 May 2017
ER -