ICPS

2019 International Convention of Psychological Science · 2019

A Machine Learning Application for Multiple-Session Attentional Bias Modification Effect

Paris, France · March 2019

Posters · Cognitive Science

  • Fang Lin
    Northern Michigan University
  • Jeremy Andrzejewski
    Northern Michigan University
  • Taylor Susa
    Northern Michigan University
  • Josh Carlson
    Northern Michigan University

Abstract

Attentional bias modification is an important intervention in reducing anxiety. However, the way to predict the effect of it remains poorly understood. In this study, we used machine-learning application to predict the effect of an intensive ABM.

Emotion

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