Customer Emotion Learning Methods

By Johnny C.H. Lok

Computers were used in place of human coders to detect vocalbehaviors ( e.g. time spent speaking, influence over conversationpartners, variation in pitch and volume and behavior mirroring) duringa negotiation task. Their results imply that the speech features extractedduring the first five minutes of negotiation are highly predictive of future outcomes. The researchers also noted that using computers tocode speech features offers advantages such as high test-retestreliability and real time feedback. As a cost-effective and relatively accurate method to detect, track andcreate models for behavior classification and prediction, automaticfacial expression analysis has the potential to be applied to multipledisciplines. Capturing behavioral data from participants may be amore accurate representation of how and what they feel, and a better alternative to self-report questionnaires that interrupt participants' affective cognitive processes and are subject to bias .Our model goes beyond to predict the future behavior within a giventask ( e.g. a virtual car accident or an error in performance). This opensup the possibility of such models becoming a common methodologyin social scientific and behavioral research.

• Format: Paperback
• Language: English
• ISBN: 1074049187
• ISBN13: 9781074049188
• Release Date: June 2019
• Publisher: Independently Published
• Length: 82 Pages
• Weight: 0.63 lbs.
• Dimensions: 0.2" x 8.5" x 11.0"