We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Abstract. Most users of the WWW want their searches to be effective. Currently, there exists a wide variety of efficient syntactic tools that have can be used for search in the WWW...
Katia Wechsler, Jorge A. Baier, Miguel Nussbaum, R...
We describe a novel, model-based approach to augmented cognition. We first discuss a subset of cognitive limitations that are likely to impair performance. We then note traditiona...
Abstract. This paper reports our research work in the new field of humancomputer collaborative learning (HCCL). The general architecture of an HCCL is defined. An HCCL system, call...