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Title: Predicting individual action switching in covert and continuous interactive tasks using the fluid events model

The Fluid Events Model is aimed at predicting changes in the actions people take on a moment-by-moment basis. In contrast with other research on action selection, this work does not investigate why some course of action was selected, but rather the likelihood of discontinuing the current course of action and selecting another in the near future. This is done using both task-based and experience-based factors. Prior work evaluated this model in the context of trial-by-trial, independent, interactive events, such as choosing how to copy a figure of a line drawing. In this paper, we extend this model to more covert event experiences, such as reading narratives, as well as to continuous interactive events, such as playing a video game. To this end, the model was applied to existing data sets of reading time and event segmentation for written and picture stories. It was also applied to existing data sets of performance in a strategy board game, an aerial combat game, and a first person shooter game in which a participant’s current state was dependent on prior events. The results revealed that the model predicted behavior changes well, taking into account both the theoretically defined structure of the described events, asmore » well as a person’s prior experience. Hence, theories of event cognition can benefit from efforts that take into account not only how events in the world are structured, but also how people experience those events.« less
Authors:
 [1] ;  [1] ;  [2] ;  [1]
  1. Univ. of Notre Dame, Notre Dame, IN (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
OSTI Identifier:
1266838
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
Frontiers in Psychology
Additional Journal Information:
Journal Volume: 7; Journal ID: ISSN 1664-1078
Publisher:
Frontiers Research Foundation
Research Org:
Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING event cognition; action change; behavior prediction; language comprehension; video games; mental updating