All August 2019: Volume 14, Issue 4 articles

Introduction to Volume 14, Issue 4

Our August 2019 issue starts with an essay from Carol Smith, “Intentionally Ethical AI Experiences.” In this essay, she explains how bias can enter artificial intelligence applications and the important role user experience professionals can play in reducing bias in the AI development steps of content/curation, model training, and maintenance. In addition to the essay, this […] [Read More]

Invited Essay: Intentionally Ethical AI Experiences

Books, movies, and culture, in general, have elevated artificial intelligence (AI) as the answer to everything, while simultaneously training generations of us to dread AI. Recent events have brought some of our worst technology fears to light. Those now infamous AI systems likely began with poor or heavily biased content, inadequate training, and most significantly […] [Read More]

Applying Tangible Augmented Reality for Product Usability Assessment

Abstract When developing a new product, it is common for designers to feel that they do not have enough information about users’ needs. This is especially true at the front end of a new product design process. An important component of this process is testing and validating potential design concepts. The aim of this study […] [Read More]

A Comparison Study of the Smartphone Gaming Control

Abstract Digital technologies have changed human behavior, especially the characteristics of products and their functionalities related to interface and interaction. Smartphone users had to accept touchscreen interfaces without sufficient evidence of the effectiveness of these digital interfaces over physical analog interfaces. Moreover, smartphone gaming industries have introduced mobile games with touch-based interfaces that may or […] [Read More]

Comparison of Four TAM Item Formats: Effect of Response Option Labels and Order

Abstract The purpose of this research was to investigate the effect of manipulating item formats for a revised version of the Technology Acceptance Model (TAM) questionnaire. The TAM has 12 items, six assessing perceived usefulness (PU) and six assessing perceived ease of use (PEU). Its original purpose was to quantify likelihood of technology acceptance, using […] [Read More]