@inproceedings{bella07iccm.paper,
title = {From 1000 ms to 650 ms: Why interleaving, soft constraints, and milliseconds matter},
author = { Bella Z. Veksler and Wayne D. Gray and Michael J. Schoelles},
editor = {Lewis, Richard L. and Polk, Thad A. and Laird, John E.},
year = {2007},
date = {2007-01-01},
booktitle = {8th International Conference on Cognitive Modeling},
abstract = {Evaluating and modeling human performance on even simple tasks requires a great deal of attention to millisecond-level cognitive and perceptual-motor operations. Modeling human performance in a task often requires that special care be taken to understand how these millisecond level operations are interleaved and how they evolve during the execution of the task. In modeling a simple decision-making task, we found that human subjects improved their routine speed as they became more familiar with the task. Modeling was conducted using the ACT-R architecture (Anderson & Lebiere, 1998). Refinements of the model indicated that interleaving of millisecond-level perceptual-motor and cognitive operators was crucial in accounting not only for the strategy shift as per soft constraints, but also in the marked speedup in performance over the course of several trials.},
keywords = {DMAP},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{bella07iccm.talk,
title = {From 1000 ms to 650 ms: Why interleaving, soft constraints, and milliseconds matter},
author = { Bella Z. Veksler and Wayne D. Gray and Michael J. Schoelles},
editor = {Lewis, Richard L. and Polk, Thad A. and Laird, John E.},
year = {2007},
date = {2007-01-01},
booktitle = {Talk Presented at the 8th International Conference on Cognitive Modeling},
address = {Ann Arbor, MI},
abstract = {Evaluating and modeling human performance on even simple tasks requires a great deal of attention to millisecond-level cognitive and perceptual-motor operations. Modeling human performance in a task often requires that special care be taken to understand how these millisecond level operations are interleaved and how they evolve during the execution of the task. In modeling a simple decision-making task, we found that human subjects improved their routine speed as they became more familiar with the task. Modeling was conducted using the ACT-R architecture (Anderson & Lebiere, 1998). Refinements of the model indicated that interleaving of millisecond-level perceptual-motor and cognitive operators was crucial in accounting not only for the strategy shift as per soft constraints, but also in the marked speedup in performance over the course of several trials.},
keywords = {DMAP},
pubstate = {published},
tppubtype = {inproceedings}
}

@incollection{bella09iccm,
title = {Milliseconds matter but so do learning and heuristics},
author = { Bella Z. Veksler},
crossref = {conf:iccm09},
abstract = {Prior work has shown that the interleaving of perceptual, motor, and cognitive components results in a considerable speedup in the performance of a simple decision making task (Veksler, Gray, & Schoelles, 2007). The current modeling effort conducted using the ACT-R cognitive architecture (Anderson & Lebiere, 1998) is intended to demonstrate how this interleaving might be learned, and how decision-making in this task might take place. The model learns the interleaving and exhibits a speedup in performance similar to that of human participants (RMSE=4.3sec). Furthermore, the model matches human accuracy by using a simple heuristic to make decisions},
keywords = {DMAP},
pubstate = {published},
tppubtype = {incollection}
}