Affective computing nowadays is not simply a word to measure someone’s sensation; Affective computing can be understood as the study concerning with the understanding, recognizing and expressing human emotions by designing computational systems that makes computers to be more adaptive and interact naturally with people. The field of affective computing has attracted a lot of attention during the past years, which produced many applications which are able to exploit and adapt to multi modal input from users, e.g. stress detection from a sensor framework consisting of electrocardiogram (ECG), galvanic skin resistance (GSR), respiration (RIP) and temperature sensor. Affective computing systems were used in many research projects in the context of users who are disabled or older people. These user groups may gain a lot of benefits from affective computing systems e.g. in support of communication, management of emotional states or stress, or just improving therapy procedures etc. We invite researcher and practitioner to contribute to this STS with papers answering questions such as:
- How to conduct user studies with disabled persons in the context of affective computing?
- How to involve disabled user groups in the design of such systems?
- Which groups may benefit at most from this research area?
- How disabled users can benefit from affective computing systems? E.g. improving therapy procedures, emotional management systems, stress management, increase wellbeing etc.
- How does a computer recognize user’s emotional state?
- What is the relation between the calculation of emotional state and face, voice, gesture and other physiological measurement such as heart rate variability (HRV), skin conductivity, and muscle movement etc.?
- How reliable or universal are these measurements?
- Etc.
Chair
Yehya Mohamad
Fraunhofer Institute for Applied Information Technology FIT, yehya.mohamad@fit.fraunhofer.de