Identification of Heuristics for Assessing the Usability of Websites of Public Administration Units

Helena Dudycz, Lukasz Krawiec
{"title":"Identification of Heuristics for Assessing the Usability of Websites of Public Administration Units","authors":"Helena Dudycz, Lukasz Krawiec","doi":"10.15439/2019F307","DOIUrl":null,"url":null,"abstract":"A very important aspect of modern websites is their usability. Thanks to modern, and constantly developing technologies it is possible to create user-friendly services for each user. The usefulness of online services may be considered in terms of their functionality, clarity, and accessibility. It is particularly important that these criteria are met by public administration websites. The aim of this paper is to present the most common usability errors identified on the websites of public administration units as well as to indicate the links between particular types of problems and traditional heuristics of Jakob Nielsen. The survey was conducted by evaluating the websites of the Public Information Bulletin in Poland (BIP, which stands for “Biuletyn Informacji Publicznej”), which are supposed to provide universal access to public information by the citizens of the country. A heuristic method (based on J. Nielsen’s heuristics) was used to evaluate 60 websites. The errors obtained were grouped into 14 categories. Each of the error groups was assessed by an expert in terms of its importance for the overall assessment of the website’s usefulness. The analysis of relations between the identified categories of errors and heuristics of Jakob Nielsen indicates a need for specifying heuristics in the context of evaluating the usability and availability of public administration websites.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15439/2019F307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

A very important aspect of modern websites is their usability. Thanks to modern, and constantly developing technologies it is possible to create user-friendly services for each user. The usefulness of online services may be considered in terms of their functionality, clarity, and accessibility. It is particularly important that these criteria are met by public administration websites. The aim of this paper is to present the most common usability errors identified on the websites of public administration units as well as to indicate the links between particular types of problems and traditional heuristics of Jakob Nielsen. The survey was conducted by evaluating the websites of the Public Information Bulletin in Poland (BIP, which stands for “Biuletyn Informacji Publicznej”), which are supposed to provide universal access to public information by the citizens of the country. A heuristic method (based on J. Nielsen’s heuristics) was used to evaluate 60 websites. The errors obtained were grouped into 14 categories. Each of the error groups was assessed by an expert in terms of its importance for the overall assessment of the website’s usefulness. The analysis of relations between the identified categories of errors and heuristics of Jakob Nielsen indicates a need for specifying heuristics in the context of evaluating the usability and availability of public administration websites.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
公共行政单位网站可用性评估的启发式识别
现代网站的一个非常重要的方面是可用性。由于现代和不断发展的技术,有可能为每个用户创建用户友好的服务。在线服务的有用性可以根据其功能、清晰度和可访问性来考虑。特别重要的是,公共行政网站必须符合这些标准。本文的目的是介绍公共行政单位网站上最常见的可用性错误,并指出特定类型的问题与Jakob Nielsen的传统启发式之间的联系。这项调查是通过评估波兰公共信息公报(BIP,即“Biuletyn Informacji Publicznej”)的网站进行的,这些网站本应为该国公民提供普遍获取公共信息的途径。采用启发式方法(基于J. Nielsen’s heuristics)对60个网站进行评价。得到的误差分为14类。每个错误组都由专家根据其对网站有用性的总体评估的重要性进行评估。对Jakob Nielsen的错误分类与启发式方法之间关系的分析表明,在评估公共行政网站的可用性和可用性的背景下,需要指定启发式方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Efficient Support Vector Regression with Reduced Training Data A Deep Learning and Multimodal Ambient Sensing Framework for Human Activity Recognition Predicting Blood Glucose using an LSTM Neural Network License Plate Detection with Machine Learning Without Using Number Recognition Tool-assisted Surrogate Selection for Simulation Models in Energy Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1