Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Second International Workshop on Emotion Awareness in Software Engineering |
| Editors | Nicole Novielli, Andrew Begel, Walid Maalej |
| Place of Publication | Bueno Aires |
| Number of pages | 7 |
| Publication status | Accepted/In press - Feb 2017 |
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Keywords
- physiological data
- stress
- medication adherence
- E4-Wristband
- (self) adaptive services
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Using Emotions to Empower the Self-adaptation Capability of Software Services. / Condori Fernandez, O.N.; Suni, Franci.
Second International Workshop on Emotion Awareness in Software Engineering. ed. / Nicole Novielli; Andrew Begel; Walid Maalej. Bueno Aires, 2017.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Using Emotions to Empower the Self-adaptation Capability of Software Services
AU - Condori Fernandez, O.N.
AU - Suni, Franci
PY - 2017/2
Y1 - 2017/2
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 - physiological data
KW - stress
KW - medication adherence
KW - E4-Wristband
KW - (self) adaptive services
M3 - Conference contribution
BT - Second International Workshop on Emotion Awareness in Software Engineering
A2 - Novielli, Nicole
A2 - Begel, Andrew
A2 - Maalej, Walid
CY - Bueno Aires
ER -