Mapping connections between biological-emotional preferences and affective recognition: An eye-tracking interface for passive as

—This study presents a proof-of-concept study to assess the prediction of emotional perceptive competency and implicit affective preferences from each other. Predictions are made using linear regression, principal component analysis with linear regression, and support vector machines. Results point to a strong, bidirectional relationship between preference for emotional stimuli and affective competency. This work informs future studies predicting emotion processing abilities in humans and highlights the importance of tailoring interfaces to meet the emotional abilities of the user. Keywords—emotion recognition; eye tracking; support vector machines

• Type: Journal
• Year: 2015
• Where: ACII
• Keywords: ACII 2015, Applied Computing