TY - JOUR
T1 - Providing user models direct access to interfaces
T2 - An exploratory study of a simple interface with implications for HRI and HCI
AU - Ritter, Frank E.
AU - Van Rooy, Dirk
AU - St. Amant, Robert
AU - Simpson, Kate
N1 - Funding Information:
Manuscript received September 22, 2003; revised July 2, 2004. This work was supported by the Space and Naval Warfare Systems Center-San Diego, under Grant N66001-1047-411F and by the Office of Naval Research under Contract N00014-03-1-0248. The content does not necessarily reflect the position or the policy of the U.S. Government, and no official endorsement should be inferred. This paper was recommended by Associate Editor A. A. Maciejewski.
PY - 2006/5
Y1 - 2006/5
N2 - Models of users are a way to understand and improve the usability of computer interfaces. We present here a model in ACT-R cognitive-modeling language that interacts with a publicly available driving simulation as a simple analog for robot interfaces. The model interacts with the unmodified Java interface by incorporating a novel use of bitmap parsing. The model's structure starts to describe the knowledge a human operator of a robot must have. The model also indicates some of the aspects of the task will be difficult for the operator. For example, the model's performance makes quantitative predictions about how robot speed will influence navigation quality, correlating well to human performance. While the model does not cover all aspects of human-robot interaction, it illustrates how providing user models access to an interface through its bitmap can lead to more accurate and more widely applicable model users.
AB - Models of users are a way to understand and improve the usability of computer interfaces. We present here a model in ACT-R cognitive-modeling language that interacts with a publicly available driving simulation as a simple analog for robot interfaces. The model interacts with the unmodified Java interface by incorporating a novel use of bitmap parsing. The model's structure starts to describe the knowledge a human operator of a robot must have. The model also indicates some of the aspects of the task will be difficult for the operator. For example, the model's performance makes quantitative predictions about how robot speed will influence navigation quality, correlating well to human performance. While the model does not cover all aspects of human-robot interaction, it illustrates how providing user models access to an interface through its bitmap can lead to more accurate and more widely applicable model users.
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U2 - 10.1109/TSMCA.2005.853482
DO - 10.1109/TSMCA.2005.853482
M3 - Article
AN - SCOPUS:33646880617
SN - 1083-4427
VL - 36
SP - 592
EP - 601
JO - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
JF - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
IS - 3
ER -