The question addressed in this paper is: If we present to a user an AI system that explains
how it works, how do we know whether the explanation works and the user has achieved a …

This is an integrative review that address the question, "What makes for a good explanation?"
with reference to AI systems. Pertinent literatures are vast. Thus, this review is necessarily …

… There are many ways decision noise could be conceptualized (see Mueller, 1998, for a
review). Some theorists have suggested that the decision criterion drifts along a sensory …

Background We briefly describe the Psychology Experiment Building Language (PEBL), an
open source software system for designing and running psychological experiments. New …

In the signal detection paradigm, the non-parametric index of sensitivity A′, as first
introduced by Pollack and Norman (1964), is a popular alternative to the more traditional d′ …

The phonological-loop model provides a prominent theoretical description of verbal working
memory. According to it, serial recall accuracy should be inversely related to the articulatory …

… Stephan Mueller, director of the Institute of Geophysics, ETH Zürich for many years and co-editor
of this atlas died on February 17th, 1997. He was … In addition, Stephan Mueller was a …

… (Mueller, 2010b). The current PEBL battery (version 0.6) consists of approximately 50
tests, including many classic ones in experimental psychology and behavioral neurology (Mueller, …

The well-documented advantage that bilingual speakers demonstrate across the lifespan
on measures of controlled attention is not observed in preschoolers’ performance on Stroop …

If a user is presented an AI system that portends to explain how it works, how do we know
whether the explanation works and the user has achieved a pragmatic understanding of the AI…