Many applications of virtual environments (VE’s) require people to be able to have some kind of spatial knowledge and use visual cues to perform well in the VE. Thus, the design and presentation of cues is important for the efficient use of a VE. In this paper, we report the results of an experiment in which groups were allowed to use three different visual cues (only 2-D map cue, 2-D map with ...

This paper describes the development of subsymbolic ACT-R models for the Concentration game. Performance data is taken from an experiment in which participants played the game under two conditions: minimizing the number of mismatches/ turns during a game, and minimizing the time to complete a game. Conflict resolution and parameter tuning are used to implement an accuracy model and a speed mode...

Alcohol intake may impair human abilities, degrade human performance, and result in serious diseases. Alcohol sensors are needed to manage the risk and effect of alcohol use to human health and performance. This paper was focused on the theoretical models and design of carbon nanotube based alcohol sensors. The experiments verified that single-walled carbon nanotubes can be used to detect alcoh...

Online discussion forums and community question-answering websites provide one of the primary avenues for online users to share information. In this paper, we propose text mining techniques which aid users navigate troubleshooting-oriented data such as questions asked on forums and their suggested solutions. We introduce Bayesian generative models of the troubleshooting data and apply them to t...

This paper presents a probabilistic approach to modeling human performance. Instead of focusing on mean performance, the effects of taskload on the distributions of performance variables are examined. From such data, probabilities of given levels of performance can be derived and methods of measurement that expand the analyses beyond those of the mean developed. Results from two experiments, on...

Models of word meaning, built from a corpus of text, have demonstrated success in emulating human performance on a number of cognitive tasks. Many of these models use geometric representations of words to store semantic associations between words. Often word order information is not captured in these models. The lack of structural information used by these models has been raised as a weakness w...

Researchers have conjectured that eye movements during visual search are selected to minimize the number of saccades. The optimal Bayesian eye movement strategy minimizing saccades does not simply direct the eye to whichever location is judged most likely to contain the target but makes use of the entire retina as an information gathering device during each fixation. Here we show that human obs...

This paper focuses on the challenging problem of learning behavior in a complex environment purely form observation of human performance. Specifically, we explore the performance of a collection of symbolic similarity measures in modeling the behavior of a human performing tasks in the Minecraft video game using learning from demonstration. We also analyze the performance of these measures usin...

Computerized systems are often employed to support control and decision-making tasks in complex and dynamic environments. Trust or mistrust in these systems has been demonstrated to significantly affect operator performance. Consequently, errors of trust or mistrust may compromise system performance, with potentially disastrous results. Accordingly, trust should be considered in both the design...