Avoid misleading by quantitative responses on questionnaire: Traps in usability evaluation and the solutions

Introduction

Quantitative Usability was considered as a statistic way to evaluate system and service efficiency and usability. However, it’s easy to mislead by the quantitative feedback, like Darrell Huff’s “How to lie with statistics”(Huff, 2010), without validity benchmarks, quantitative usability methods are delicate and useless. I introduce both advantages and drawbacks in this article, emphasize the bias of quantitative usability data, and give the solution.Continue Reading »

It’s Written All Over Your Face! Or Is it? – Facial Response Analysis

Facial response analysis of the Mona Lisa

Facial Response Analysis has provided companies and researchers with a unique look into how exactly their users are feeling, allowing them to gather a large amount of data and provide a better user experience. However, this method may not always pick up on specific or unique emotional expressions, causing inaccuracy amongst evaluation.

 

     One element of great user experience design is a product that ignites positive emotions and engagement.Continue Reading »