Volume 13, Issue 3, May 2018

Introduction to Volume 13, Issue 3, May 2018

Bill Albert and James R. Lewis

 

Invited Essay: Wizard of Oz (WoZ)—A Yellow Brick Journey

John F. (“Jeff”) Kelley

Since 1983, the term “Wizard of Oz” has come into common usage in the fields of Experimental Psychology, Human Factors, Ergonomics and Usability Engineering to describe a testing or iterative design methodology wherein an experimenter (the “Wizard”), in a laboratory setting, simulates the behavior of a theoretical intelligent computer application (often by going into another room and intercepting all communications between participant and system).  […] [Read More]

 

Evaluation of Self-Trackers for Use in Telerehabilitation

Kim Munck, Mark Hummeluhr Christensen, Alan Tahhan, Birthe I. Dinesen, Helle Spindler, John Hansen, Dr. Olav W. Nielsen, and Søren Leth

The increasing prevalence of chronic heart failure requires new and more cost-efficient methods of chronic heart failure treatment. In the search for comprehensive and more cost-effective disease management, the use of self-monitoring devices has become increasingly popular. However, the usability of these wireless self-trackers needs to be evaluated if they are to be successfully implemented within a healthcare system. The aim of this study is to evaluate the usability of six self-tracking devices for use in  […] [Read More

 

Information Architecture (IA): Using Multidimensional Scaling (MDS) and K-Means Clustering Algorithm for Analysis of Card Sorting Data

Sione Paea and Ross Baird

We present a method for visualizing and analyzing card sorting data aiming to develop an in-depth and effective information architecture and navigation structure. One of the well-known clustering techniques for analyzing large data sets is with the k-means algorithm. However, that algorithm has yet to be widely applied to analyzing card sorting data sets to measure the similarity between cards and result displays using multidimensional scaling. […] [Read More]

 

Item Benchmarks for the System Usability Scale

James R. Lewis and Jeff Sauro

From humble beginnings, the SUS has become a valuable tool in the toolkits of usability and user experience practitioners and researchers. We have developed regression equations that compute benchmarks for SUS items based on an overall SUS score. A review of the SUS literature on published benchmarks for the means of overall SUS scores from usability studies/surveys provides guidance on selecting an appropriate value of SUS to use when setting item benchmarks. […] [Read More]