A comparison of usability evaluation methods for evaluating e-commerce websites

The importance of evaluating the usability of e-commerce websites is well recognised. User testing and heuristic evaluation methods are commonly used to evaluate the usability of such sites, but just how effective are these for identifying specific problems? This article describes an evaluation of these methods by comparing the number, severity and type of usability problems identified by each one. The cost of employing these methods is also considered. The findings highlight the number and severity level of 44 specific usability problem areas which were uniquely identified by either user testing or heuristic evaluation methods, common problems that were identified by both methods, and problems that were missed by each method. The results show that user testing uniquely identified major problems related to four specific areas and minor problems related to one area. Conversely, the heuristic evaluation uniquely identified minor problems in eight specific areas and major problems in three areas.     

e-Perceptions: Personality Impressions Based on Personal Websites.

This research examined the accuracy of personality impressions based on personal websites, a rapidly growing medium for self-expression, where identity claims are predominant. Eighty-nine websites were viewed by 11 observers, who rated the website authors' personalities. The ratings were compared with an accuracy criterion (self- and informant reports) and with the authors' ideal-self ratings. The websites elicited high levels of observer consensus and accuracy, and observers' impressions were somewhat enhanced for Extraversion and Agreeableness. The accuracy correlations were comparable in magnitude to those found in other contexts of interpersonal perception and generally stronger than those found in zero-acquaintance contexts. These findings suggest that identity claims are used to convey valid information about personality. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Who finds value in news comment communities? An analysis of the influence of individual user,perceived news site quality,and site type factors

User commenting forums are a ubiquitous interactive feature offered by news organizations. Despite their popularity, research has generally failed to investigate extent to which news readers themselves find any redeeming value in news comment communities and, therein, the factors that serve as antecedents to such value perceptions. In light of this gap in the literature, this study set out to determine the factors associated with news community value. Using a sample of over 500 news consumers, we explored the impact of individual user, site quality, and site type factors. The results suggested that perceived news community value was highest among those with high levels of self-efficacy and those who use the Internet for civic purposes. The data indicated also that value perceptions were highest for those news sites that were understood to be interactive and aesthetically pleasing. Finally, perceived news community value was highest on sites that were both non-traditional and non-partisan in nature.     

简析大数据思维在政府网站建设和管理中的运用

政府网站作为人民群众了解政府日常工作行为;政府了解民生、解决人民群众难题的重要窗口,是人民群众与政府之间保持密切联系的重要,是政府进行公共服务和社会治理最为有效的工具。所以,必须加强政府网站建设,努力实现能够满足社会发展需要的平台内容,加强网站建设和管理,进一步提高政府网站功能作用,为人民群众提供个性化、综合化、多功能化的政府网站平台,在这其中,大数据思维将发挥出重要的引领性作用。将对政府网站功能进行解析,提出发达国家政府网站建设的经验启示,并结合我国政府工作特点提出如何在进行政府网站建设时实现大数据思维,希望能够为建设政府网站提供有用的建议。     

一种基于集成学习的钓鱼网站检测方法

针对钓鱼攻击者常用的伪造HTTPS网站以及其他混淆技术,借鉴了目前主流基于机器学习以及规则匹配的检测钓鱼网站的方法RMLR和PhishDef,增加对网页文本关键字和网页子链接等信息进行特征提取的过程,提出了Nmap-RF分类方法。Nmap-RF是基于规则匹配和随机森林方法的集成钓鱼网站检测方法。根据网页协议对网站进行预过滤,若判定其为钓鱼网站则省略后续特征提取步骤。否则以文本关键字置信度,网页子链接置信度,钓鱼类词汇相似度以及网页PageRank作为关键特征,以常见URL、Whois、DNS信息和网页标签信息作为辅助特征,经过随机森林分类模型判断后给出最终的分类结果。实验证明,Nmap-RF集成方法可以在平均9~10 μs的时间内对钓鱼网页进行检测,且可以过滤掉98.4%的不合法页面,平均总精度可达99.6%。     

乡村旅游网内容交付性研究

信息是旅游产业的血脉,电子商务的发展为旅游业信息化提供主要支持.乡村旅游已经发展成为当前最热旅游活动之一,具有广阔电子商务发展空间.以国内4家乡村旅游网的发展为案例,对比分析了我国乡村旅游网在内容建设方面存在的问题,以期对我国乡村旅游网的改进提供依据.     

How online ratings and trust influence health consumers’ physician selection intentions: An experimental study

Consumers’ growing reliance on the web information when choosing physicians has drawn attention to the need for more research into online physician ratings. This study conducted an experimental design to explore the roles of trust in different stages and three key online rating characteristics, including overall numerical ratings (high or general), review volume (high or low), and a comparison of the effect rating and attitude rating (higher or lower effect rating than attitude rating), in influencing health consumers’ choices. Results suggested that the overall numerical rating and review volume were significantly and positively correlated with the physician selection intention. Perceived physician trustworthiness completely mediated the effect of the review volume on consumer intentions, while initial trust in online physician ratings produced a moderating effect. The comparison of sub-dimension rating scores induces consumers’ regulatory focus and further moderated the relationship between overall rating score and consumers’ selection intentions, as well as the relationship between perceived physician trustworthiness and consumers’ selection intentions. Implications, limitations and future research directions are also discussed.     

基于B/S中医营养食疗系统的设计

随着民众生活水平的提高,食疗与药膳在养生保健、防病治病、延年益寿等方面越来越受广大民众重视,而现有互联网技术及中医食疗和营养学科的日渐普及,建立一个基于互联网的中医食疗咨询系统的需求越来越高。为此,本文采用B/S架构,使用ASP.NET技术和SQL数据库,对系统进行了可行的设计,实现了营养咨询、食疗问答、药膳统计及营养信息等功能。整个系统内容丰富,药膳推荐合理,具有良好的推广性。