Affect Modeling with Field-based Physiological Responses

作者：Hong Jin Hyuk^*; Dey Anind K

来源：Interacting with Computers, 2015, 27(6): 577-591.

DOI：10.1093/iwc/iwu014

• user models
• ubiquitous computing
• health informatics

Using the physiological system to perform affect modeling has great potential but also introduces many challenging issues in pervasive and interactive computing. With the advances in low-power mobile sensors, it is now possible to create a good quality of affect models based on physiological responses, which are useful in understanding how people express affect in real-world environments. In this paper, we have investigated an affect modeling technique that analyzes physiological changes and models user affect with data gathered in the field. In particular, we have identified a number of sensor channels and features that are discriminable in recognizing stress with Support Vector Machines. We have empirically investigated the value of creating an affect model by using a subset of informative features for an individual on physiological data collected in real-world environments (i.e. outside the lab), and we provide a discussion of the remaining challenging issues in performing field-based physiological analysis.

• 出版日期2015-11