Abstract
Affect signals what humans care about and what matters to them. By providing computers with the capability to measure affect, researchers aspire to narrow the communication gap between the emotional human and the emotionally detached computer, with the ultimate aim of enhancing human-computer interactions. This chapter explores the multidisciplinary foundations of affective state measurement as a multimodal process. Specifically, it: (1) describes popular sensing technologies, including brain-computer interfaces, face-based emotion recognition systems, eye-tracking systems, physiological sensors, body language recognition, and text-based language processing; (2) explores the data gathered from each technology and its key characteristics; (3) outlines the pros and cons of each technology; (4) examines sampling, filtering, and multimodal affective data integration methodologies; and (5) presents the tools and algorithms used to analyze affective data off-line, seeking to make inferences regarding the meaning of that data and to correlate it with stimuli.
| Original language | English (US) |
|---|---|
| Title of host publication | Emotions and Affect in Human Factors and Human-Computer Interaction |
| Publisher | Elsevier |
| Pages | 255-288 |
| Number of pages | 34 |
| ISBN (Electronic) | 9780128018798 |
| ISBN (Print) | 9780128018514 |
| DOIs | |
| State | Published - Apr 17 2017 |
Keywords
- Affect measurement
- Affective computing
- Body language
- Brain-computer interface
- Emotion detection
- Facial expressions
- Multimodal analysis
- Physiological signals
- Sensors
ASJC Scopus subject areas
- General Engineering