Abstract
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.
Original language | English |
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Title of host publication | Proceedings - 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering, SEmotion 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 15-21 |
Number of pages | 7 |
ISBN (Electronic) | 9781538627938 |
DOIs | |
State | Published - 28 Jun 2017 |
Externally published | Yes |
Event | 2nd IEEE/ACM International Workshop on Emotion Awareness in Software Engineering, SEmotion 2017 - Buenos Aires, Argentina Duration: 21 May 2017 → … |
Publication series
Name | Proceedings - 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering, SEmotion 2017 |
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Conference
Conference | 2nd IEEE/ACM International Workshop on Emotion Awareness in Software Engineering, SEmotion 2017 |
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Country/Territory | Argentina |
City | Buenos Aires |
Period | 21/05/17 → … |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- (self) adaptive services
- E4-Wristband
- medication adherence
- physiological data
- stress