From the Publisher:
Written by the author of the best-selling HyperText & HyperMedia, this book provides an excellent guide to the methods of usability engineering. Special features: emphasizes cost-effective methods that will help developers improve their user interfaces immediately, shows you how to avoid the four most frequently listed reasons for delay in software projects, provides step-by-step information about which methods to use at various stages during the development life cycle, and offers information on the unique issues relating to informational usability. You do not need to have previous knowledge of usability to implement the methods provided, yet all of the latest research is covered.

Usability Engineering

Much research in the last two decades has demon- strated that human responses deviate from the performance deemed normative according to various models of decision mak- ing and rational judgment (e.g., the basic axioms of utility theory). This gap between the normative and the descriptive can be inter- preted as indicating systematic irrationalities in human cognition. However, four alternative interpretations preserve the assumption that human behavior and cognition is largely rational. These posit that the gap is due to (1) performance errors, (2) computational limitations, (3) the wrong norm being applied by the experi- menter, and (4) a different construal of the task by the subject. In the debates about the viability of these alternative explanations, attention has been focused too narrowly on the modal response. In a series of experiments involving most of the classic tasks in the heuristics and biases literature, we have examined the implica- tions of individual differences in performance for each of the four explanations of the normative/descriptive gap. Performance er- rors are a minor factor in the gap; computational limitations un- derlie non-normative responding on several tasks, particularly those that involve some type of cognitive decontextualization. Un- expected patterns of covariance can suggest when the wrong norm is being applied to a task or when an alternative construal of the task should be considered appropriate.

https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0140525X00003435

Individual differences in reasoning: Implications for the rationality debate?

The Human Hippocampus and Spatial and Episodic Memory

Heuristics and Biases: Individual Differences in Reasoning: Implications for the Rationality Debate?

http://www.compassproject.net/sadhana/teaching/readings/deftainsworth.pdf

DeFT: A conceptual framework for considering learning with multiple representations

Participants learned the layout of large-scale "virtual buildings" through extended navigational experience, using "desk-top" (i.e., nonimmersive) virtual environments (VEs). Experiment 1 recreated a study performed in a real building (P. W. Thorndyke & B. Hayes-Roth, 1982). After overcoming initial disorientation, participants ultimately developed near-perfect routefinding abilities. Their ability to judge directions and relative distances was similar to that found with the real building. Two further experiments investigated the effect of localized landmarks. Colored patterns had no effect on participants' route-finding accuracy. However, participants were more accurate in their route finding when familiar objects were used as landmarks than when no landmarks were used. The implications of the findings for the design of VEs are discussed. Virtual environment (VE) systems are being

/pdf/navigating-buildings-in-desk-top-virtual-environments-1ubpna0ebn.pdf

Navigating buildings in "desk-top" virtual environments: Experimental investigations using extended navigational experience.

A formal model of the mental representation of task languages is presented. The model is a metalanguage for defining task-action grammars (TAG): generative grammars that rewrite simple tasks into action specifications. Important features of the model are (a) Identification of the "simple-tasks" that users can perform routinely and that require no control structure; (b) Representation of simple-tasks by collections of semantic components reflecting a categorization of the task world; (c) Marking of tokens in rewrite rules with the semantic features of the task world to supply selection restrictions on the rewriting of simple-tasks into action specifications. This device allows the representation of family resemblances between individual task-action mappings. Simple complexity metrics over task-action grammars make predictions about the relative learnability of different task language designs. Some empirical support for these predictions is derived from the existing empirical literature on command language learning, and from two unreported experiments. Task-action grammars also provide designers with an analytic tool for exposing the configural properties of task languages.

Task-action grammars: a model of the mental representation of task languages

Participants used a helmet-mounted display (HMD) and a desk-top (monitor) display to learn the layouts of two large-scale virtual environments (VEs) through repeated, direct navigational experience. Both VEs were “virtual buildings” containing more than seventy rooms. Participants using the HMD navigated the buildings significantly more quickly and developed a significantly more accurate sense of relative straight-line distance. There was no significant difference between the two types of display in terms of the distance that participants traveled or the mean accuracy of their direction estimates. Behavioral analyses showed that participants took advantage of the natural, head-tracked interface provided by the HMD in ways that included “looking around” more often while traveling through the VEs, and spending less time stationary in the VEs while choosing a direction in which to travel.

/pdf/navigating-large-scale-virtual-environments-what-differences-4vbe7v7e1e.pdf

Navigating Large-Scale Virtual Environments: What Differences Occur Between Helmet-Mounted and Desk-Top Displays?

A laboratory experiment was conducted to assess the influence of graphical and color-enhanced information presentation on information use and decision quality in a simulation setting. This is the third in a series of studies examining the effects of colors and graphics in a managerial decision making task. The findings reported in this paper indicate that graphical presentations are more useful when evaluating information in order to determine promising directions in the search for an optimal solution bit when the task requires the determination of exact data values for computational purposes, graphical reports are less useful than tabular ones. Benefits of color include taking fewer iterations to complete the task. However, these benefits are associated more strongly with the graphical report as indicated by the significantly higher use of color enhanced graphical reports over monochromatic ones. The benefits of color are also restricted to the early stages in the decision task with color graphic report usage dropping sharply over time.

/pdf/task-action-grammars-a-model-of-the-mental-representation-of-1k271becjq.pdf

Stephen J. Payne

Papers

Navigating buildings in "desk-top" virtual environments: Experimental investigations using extended navigational experience.

Task-action grammars: a model of the mental representation of task languages

Navigating Large-Scale Virtual Environments: What Differences Occur Between Helmet-Mounted and Desk-Top Displays?

Task-Action Grammars: A Model of the Mental Representation of Task Languages

The Effects of Operator Implementation Cost on Planfulness of Problem Solving and Learning