Legibility of typefaces and preferences of text/background color variations in virtual environment

Author:

Agić AnaORCID, ,Mandić LidijaORCID,Stanić Loknar NikolinaORCID, ,

Abstract

Text legibility is an important and influential aspect of multimedia, not only on usual multimedia reading devices (displays, tablets, and mobile phones) but also in three-dimensional virtual environments (VE). In VEs, text can be used for many purposes in accordance with the category of experience (gaming, architectural visualization, exhibition, education). Font type used can deteriorate the VE experience if the user has to strain his eyes so that he may correctly read what has been written. The purpose of this research is to examine different fonts in order to determine which properties of a typeface are more suitable for VE. Four different fonts have been tested in 10 font sizes at three viewing distances (5, 10, and 15 meters). Times New Roman as a representative of serif fonts, Helvetica as a non-serif font, Caveat as a representative of handwritten fonts, and Roboto as a font for digital use, initially developed for the Android operating system. Different typographic characteristics of fonts significantly affect readability in VE. Additionally, was explored how the color of the text and the background color influence text readability in 20 combinations. It is known that the relationship between text color and background color affects readability. Since VR is a relatively new medium, we wanted to determine which relationship between colors of text and background is the best and whether it follows some rules present on the web. The colors of the text were black and white, and the colors of the background were black, white and gray, red, green, pastel green, blue, pastel blue, yellow, pastel orange, and pastel pink. Results regarding text color/background color have shown that most participants preferred black text on white background, black text on a gray background, and white text on a pastel orange background. On the contrary, participants rated white text on a yellow background as the least preferable combination, accompanied by white text on a pastel green background.

Publisher

University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ROVER: A Standalone Overlay Tool for Questionnaires in Virtual Reality;Companion of the16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems;2024-06-24

2. Banner Features That Attract Visual Attention: An Eye-Tracking Study of Email Signatures;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

3. Text readability in augmented reality: a multivocal literature review;Virtual Reality;2024-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3