Paper Info
Title
An EEG-based Approach for Evaluating Graphic Icons from the Perspective of Semantic Distance.
Abstract
Graphic icons play an increasingly important role in interface design due to the proliferation of digital devices in recent years. Their ability to express information in a universal fashion allows us to immediately interact with new applications, systems, and devices. Icons can, however, cause user confusion and frustration if designed poorly. Several studies have evaluated icons using behavioral-performance metrics such as reaction time as well as self-report methods. However, determining the usability of icons based on behavioral measures alone is not straightforward, because users' interpretations of the meaning of icons involve various cognitive processes and perceptual mechanisms. Moreover, these perceptual mechanisms are affected not only by the icons themselves, but by usage scenarios. Thus, we need a means of sensitively and continuously measuring users' different cognitive processes when they are interacting with icons. In this study, we propose an EEG-based approach to icon evaluation, in which users' EEG signals are measured in multiple usage scenarios. Based on a combination of EEG and behavioral results, we provide a novel interpretation of the participants' perception during these tasks, and identify some important implications for icon design.
Year
DOI
Venue
2016
10.1145/2858036.2858133
CHI
Keywords
Field
DocType
BCI, Neuroergonomics, Icon Evaluation, Semantic Distance
Semantic similarity,Icon design,Computer science,Icon,Usability,Brain–computer interface,Human–computer interaction,Neuroergonomics,Cognition,Multimedia,Perception
Conference
ISBN
Citations 
PageRank 
978-1-4503-3362-7
2
0.38
References 
Authors
17
4
Name
Order
Citations
PageRank
Fu-Yin Cherng1415.60
Wen-Chieh Lin247644.50
Jung-Tai King3529.83
Chen-Yi Lee41211152.40