Michael Garber-Barron & John Lindstedt, Cognitive Science Graduate Students, RPI


Michael Garber-Barron & John Lindstedt, Cognitive Science Graduate Students, RPI

Sage 4101

November 12, 2014 12:00 PM - 1:30 PM

Michael Garber-Barron:

Attribution Theory provides a set of distinct features that describe the process by which we ascribe fault or credit. Given an outcome, we select and determine the motivations, intentions, and knowledge of the individuals involved to ascribe a judgment of responsibility. While strongly utilized in examining real life situations, Attribution Theory also has strong implications for entertainment domains. In this talk, I will present an overview of Attribution Theory, as well as its potential use, and relationship to interactive stories and narratives.


John Lindstedt:

Expert performance in complex tasks is a desirable outcome of practice and training. The Deliberate Practice framework (Ericsson, 1993) suggests that the "deliberate practice of difficult material" is ideal for encouraging performance growth toward true expertise, particularly in more dynamic, interactive tasks with clear criteria for success. This framework is limited, however, by its only cursory definition of what constitutes "difficult" in these tasks. Here I describe recent findings regarding 1) identifying what features constitute expert performance in the video game Tetris, including recent work in Artificial Intelligence; and 2) how different kinds of short-term training (exploratory vs time-pressured) in Tetris affect both performance and strategy in the game. I then outline future work in extending the Deliberate Practice framework, focusing on quantifying the ideal conditions under which players may achieve the most gains during play.




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