標題: An EEG-based Approach for Evaluating Graphic Icons from the Perspective of Semantic Distance
作者: Cherng, Fu-Yin
Lin, Wen-Chieh
King, Jung-Tai
Lee, Yi-Chen
資訊工程學系
腦科學研究中心
Department of Computer Science
Brain Research Center
關鍵字: BCI;Neuroergonomics;Icon Evaluation;Semantic Distance
公開日期: 2016
摘要: 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.
URI: http://dx.doi.org/10.1145/2858036.2858133
http://hdl.handle.net/11536/134300
ISBN: 978-1-4503-3362-7
DOI: 10.1145/2858036.2858133
期刊: 34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016
起始頁: 4378
結束頁: 4389
Appears in Collections:Conferences Paper