Prediction of strategy and outcome as negotiation unfolds by using basic verbal and behavioral features

Negotiations can be characterized by the strategy participants adopt to achieve their ends (e.g., individualistic strategies are based on self-interest, cooperative strategies are used when participants try to maximize the joint gain, while competitive strategies focus on maximizing each participant’s score against the other) and the outcomes that each participant achieves in the negotiation. This paper investigates the process and the result of predicting the outcome and strategy of participants throughout the progress of the negotiation by using basic, easy to extract, linguistic and acoustic features. We evaluate our approach on a face-to-face negotiation dataset consisting of 41 dyadic interactions and show that it’s possible to significantly improve over a majority-class baseline in tasks of predicting the strategy and outcome of the interaction by analyzing only basic low level features of the negotiation.

[1]  L. Thompson,et al.  An Examination of Naive and Experienced Negotiators , 1990 .

[2]  M. Deutsch The Resolution of ConflictConstructive and Destructive Processes , 1974 .

[3]  Peter J. Carnevale,et al.  Negotiation in Social Conflict , 1993 .

[4]  N. Ambady,et al.  Half a minute: Predicting teacher evaluations from thin slices of nonverbal behavior and physical attractiveness. , 1993 .

[5]  A. Pentland,et al.  Thin slices of negotiation: predicting outcomes from conversational dynamics within the first 5 minutes. , 2007, The Journal of applied psychology.

[6]  Louis-Philippe Morency,et al.  I already know your answer: using nonverbal behaviors to predict immediate outcomes in a dyadic negotiation , 2012, ICMI '12.

[7]  Robert I Westwood,et al.  Chinese Conflict Preferences and Negotiating Behaviour: Cultural and Psychological Influences , 1991 .

[8]  C. D. De Dreu,et al.  Influence of social motives on integrative negotiation: a meta-analytic review and test of two theories. , 2000, Journal of personality and social psychology.

[9]  Andrea Esuli,et al.  SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.

[10]  N. Ambady,et al.  Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. , 1992 .

[11]  Björn W. Schuller,et al.  OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit , 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

[12]  Hennie Brugman,et al.  Annotating Multi-media/Multi-modal Resources with ELAN , 2004, LREC.

[13]  Zhaleh Semnani-Azad,et al.  The Display of 'Dominant' Nonverbal Cues in Negotiation: The Role of Culture and Gender , 2011 .

[14]  James K. Sebenius,et al.  The Manager as Negotiator: Bargaining for Cooperation and Competitive Gain , 1986 .

[15]  Jonathan Gratch,et al.  These Are Ours: The Effects of Ownership and Groups on Property Negotiation , 2011 .