Measurement and Comparison of Non-verbal Behavior and Cognitive Behavior in Human Resource Management - Application in Sales Recruitment

Emotions form an important component of human behavior and decision making. In this paper we employ image processing and soft computing techniques to design and implement emotional state profiling of a sales candidate while they provide psychological inputs related to their selling behavior to an intelligent sales recruitment and benchmarking system. This research is part of a larger effort aimed at giving computers and other pervasive devices the skills of emotional intelligence, such as the ability to recognize a person's emotions and to respond appropriately to those emotions. The work reported has implications in not only in recruitment and benchmarking but also Web recommender and information personalization systems

[1]  P. Lang.  The emotion probe. Studies of motivation and attention. , 1995, The American psychologist.

[2]  Josep Lluís de la Rosa i Esteva,et al.  Managing Emotions in Smart User Models for Recommender Systems , 2004, ICEIS.

[3]  J. Bettman,et al.  Knowledge Structure Differences between More Effective and Less Effective Salespeople , 1988 .

[4]  John J. B. Allen,et al.  The handbook of emotion elicitation and assessment , 2007 .

[5]  K. Murphy,et al.  PROGRESS IN PSYCHOMETRICS: CAN INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY CATCH UP? , 2000 .

[6]  David M. Szymanski.  Determinants of selling effectiveness: The importance of declarative knowledge to the personal selling concept. , 1988 .

[7]  J. Hocking,et al.  Testing times. , 1999, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[8]  C. Bartneck,et al.  In your face, robot! The influence of a character's embodiment on how users perceive its emotional expressions , 2004 .

[9]  J. Cohn,et al.  Use of Automated Facial Image Analysis for Measurement of Emotion Expression , 2004 .

[10]  Aharon Tziner.  Human Resource Management and Organization Behavior: Selected Perspectives , 2002 .

[11]  Barton A. Weitz,et al.  Knowledge, Motivation, and Adaptive Behavior: A Framework for Improving Selling Effectiveness , 1986 .

[12]  John Gountas,et al.  The influence of consumers' emotions on their service product evaluation. , 2003 .

[13]  Yasue Mitsukura,et al.  Knowledge Engineering of Intelligent Sales-Recruitment System Using Multi-layered Agent Methodology , 2003, ISMIS.

[14]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[15]  Yuan Qi,et al.  Fully automatic upper facial action recognition , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[16]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[17]  Michael J. Lyons,et al.  Coding facial expressions with Gabor wavelets , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[18]  Tharanga Goonesekera,et al.  An online multi-agent e-sales recruitment system , 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

[19]  Tai Sing Lee,et al.  Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Takeo Kanade,et al.  Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[21]  Rajiv Khosla,et al.  Behavior Profiling Based on Psychological Data and Emotional States , 2004, KES.

[22]  Alex Pentland,et al.  Coding, Analysis, Interpretation, and Recognition of Facial Expressions , 1997, IEEE Trans. Pattern Anal. Mach. Intell..