Accession Number:

ADA624523

Title:

Models of Conflict Expression

Descriptive Note:

Master's thesis

Corporate Author:

RAYTHEON CO CAMBRIDGE MA BBN TECHNOLOGIES

Personal Author(s):

Report Date:

2014-12-03

Pagination or Media Count:

30.0

Abstract:

Conflict is a critical element of social interaction. More and more it is being mediated by technology such as email, SMS and online texting. Consequently, it is becoming increasingly important to develop algorithms that could be applied to this growing data form. This report describes a predictive model for conflict strategy choice given demographic and personality input. It used crowd-sourced data concerning everyday life scenarios. A naive bayes classifer and support vector machine both perform above random. Additionally, statistical analysis of the data was consistent with previous research.

Subject Categories:

  • Sociology and Law
  • Statistics and Probability
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE