Models of Conflict Expression

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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 03, 2014
Accession Number
ADA624523

Entities

People

  • Paulo F. Gomes

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computational Linguistics
  • Computational Science
  • Data Sets
  • Language
  • Linguistics
  • Machine Learning
  • Mobile Phones
  • Multiagent Systems
  • Personality
  • Recognition
  • Social Media
  • Social Networks
  • Statistical Analysis
  • Supervised Machine Learning
  • Text Messaging

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Psychometric Testing or Psychological Assessment.
  • Statistical inference.

Technology Areas

  • AI & ML