scholarly journals Eye Tracking Evaluation Of Chinese Web Sites For The Chinese Market

Author(s):  
Gabriele R. Theuner ◽  
Stefan Steinmetz

This paper assesses and analyzes ways Chinese and European people view web sites designed in English and Chinese languages. The results suggest some similarities and differences based on different cultures.The Chinese market is gaining more and more importance in the international business arena. Due to the strong Chinese Internet growth rates increasingly more global enterprises use the Internet for e-Commerce, market penetration and expansion, and to communicate information in China. But the success of online communication with customers in the Chinese market is in many cases not as effective as planned, because of cultural differences between Chinese and European people. Specific reading behavior, different cultural color definitions, diverse meanings of symbols or pictures as well as differing Chinese attitudes and values have to be considered when designing web sites for China.To gain more knowledge about the needs, tastes and behavior styles from Chinese Internet users, an experiment was designed with the following hypothesis: Chinese and Europeans differ concerning web site evaluation and recognition due to culture. Web sites designed for Chinese (Mercedes, Sony Ericsson, and China Eastern) were tested using an Eye Tracking camera.Observation, using an Eye Tracking camera, combined with a survey, showed that Chinese users share only preferences like clarity and comprehensibility in web site quality with German users. Significant differences can be named concerning amount of information, design/color design and terminology. During the tests it also became clear that the order in which the Chinese users look at elements (navigation bar, text, pictures, etc.), and the tested recognition is not identical to European users.

2011 ◽  
pp. 1374-1387
Author(s):  
A. Malizia ◽  
A De Angeli ◽  
S. Levialdi ◽  
I. Aedo Cuevas

The User Experience (UX) is a crucial factor for designing and enhancing the user satisfaction when interacting with a computational tool or with a system. Thus, measuring the UX can be very effective when designing or updating a Web site. Currently, there are many Web sites that rely on collaborative tagging: such systems allow users to add labels (tags) for categorizing contents. In this chapter the authors present a set of techniques for detecting the user experience through Collaborative Tagging Systems and we present an example on how to apply the approach for a Web site evaluation. This chapter highlights the potential use of collaborative tagging systems for measuring users’ satisfaction and discusses the future implications of this approach as compared to traditional evaluation tools, such as questionnaires, or interviews.


Author(s):  
A. Malizia ◽  
A. De Angeli ◽  
S. Levialdi ◽  
I. Aedo Cuevas

The User Experience (UX) is a crucial factor for designing and enhancing the user satisfaction when interacting with a computational tool or with a system. Thus, measuring the UX can be very effective when designing or updating a Web site. Currently, there are many Web sites that rely on collaborative tagging: such systems allow users to add labels (tags) for categorizing contents. In this chapter the authors present a set of techniques for detecting the user experience through Collaborative Tagging Systems and we present an example on how to apply the approach for a Web site evaluation. This chapter highlights the potential use of collaborative tagging systems for measuring users’ satisfaction and discusses the future implications of this approach as compared to traditional evaluation tools, such as questionnaires, or interviews.


Author(s):  
Sivaporn Wangpipatwong ◽  
Wichian Chutimaskul ◽  
Borworn Papasratorn

This study empirically examines Web site quality toward the enhancement of the continued use of e-government Web sites by citizens. The web site quality under examination includes three main aspects, which are information quality, system quality, and service quality. The participants were 614 country-wide e-citizens of Thailand. The data were collected by means of a web-based survey and analyzed by using multiple regression analysis. The findings revealed that the three quality aspects enhanced the continued use of e-government Web sites, with system quality providing the greatest enhancement, followed by service quality and information quality.


Author(s):  
Ye Diana Wang ◽  
Henry H. Emurian

Two studies were undertaken to investigate interface design features that might impact customers’ trust in an e-commerce vendor’s Web site. In a first quantitative survey study, experienced Internet users rated 14 features of a synthetic e-commerce interface for their trust-inducing effectiveness. A factor analysis of the ratings partially confirmed a proposed conceptual model of trust-inducing features and yielded the following three factors: (1) visual design, (2) content design, and (3) social-cue design. The comparatively lower ratings on the social-cue design factor motivated a second qualitative analysis of a different group of users’ observations regarding the importance of virtual re-embedding strategies as they may impact trust in an online vendor’s Web site. Users’ reports from interviews generally supported the importance of socially rich Web sites in promoting online trust, and they deepened our understanding of the functionalities and suitability of various communication media for the adoption of virtual re-embedding strategies. The complementary outcomes from both quantitative and qualitative sources of information are anticipated to contribute to future applications and research in e-commerce interface design considerations affecting online trust.


Author(s):  
Aayush Shrivastava ◽  
Gautam Gupta ◽  
Pratap K.J. Mohapatra

The objective of this chapter is to study the features of reverse auction sites. Twenty-five features of 38 reverse auction sites have been studied. The features are divided into core and complementary features. These sites are broadly divided into B2B/B2G and B2C/C2C groups. We show the differences that exist in the site design of these two groups insofar as the inclusion of these features are concerned. We derive weights, signifying the importance which the site designs have assigned to various complementary features. These weights are used in two ways: to provide benchmarks to evaluate the design of the Web sites, and to find out the site evaluation index of any Web site for comparison with the benchmark. Using their complementary features, we derive weights for the features and develop site evaluation indexes for them.


Author(s):  
Peng Li ◽  
◽  
Seiji Yamada ◽  

This paper proposes an automated web site evaluation using machine learning to extract evaluation criteria from existing evaluation data. Web site evaluation is a significant task because evaluated web sites provide information useful to users in estimating sites validation and popularity. Although many practical approaches have been taken to present possible measuring sticks for web sites, their evaluation criteria are manually determined. We developed a method to obtain evaluation criteria automatically and rank web sites with the learned classifier. Evaluation criteria are discriminant functions learned from a set of ranking information and evaluation features collected automatically by web robots. Experiments confirmed the effectiveness of our approach and its potential in high-quality web site evaluation.


2015 ◽  
Vol 25 (5) ◽  
pp. 767-793 ◽  
Author(s):  
Hong Zhang ◽  
Yaobin Lu ◽  
Sumeet Gupta ◽  
Ping Gao

Purpose – Sustainable success of group-buying web sites implies that consumers not only accept them initially but also use them continuously. Most group-buying web sites, however, are unable to achieve such sustainable success. Drawing on expectation-confirmation model (ECM), the purpose of this paper is to examine the factors that influence group-buying web sites continuance. Design/methodology/approach – In total, 605 valid responses were collected via a survey of a leading group-buying web site in China. Structural equation modeling was used to test the research model. This study also compared the three competing models of continued use behavior, namely, ECM, the research model and the integrated model. Findings – The results show that perceived web site quality, perceived price advantage and confirmation are important determinants of consumer satisfaction, while perceived web site quality, perceived reputation, satisfaction and perceived critical mass significantly influence consumers’ continuance intention. The research model accounts for more variance in satisfaction and continuance intention than ECM and is the best-fitting model among the competing models. Originality/value – Drawing on ECM, this research proposes a model by incorporating three online group-buying characteristics (perceived price advantage, perceived reputation and perceived web site quality) and two social influence factors (subjective norm and perceived critical mass). Specially, this study uses these three online group-buying characteristics to represent perceived usefulness in ECM. These constructs are found to influence consumer satisfaction and continuance intention. This study extends ECM and provides a better explanation of consumers’ post-purchase behavior in the online group-buying context.


2017 ◽  
Vol 33 (06) ◽  
pp. 665-669 ◽  
Author(s):  
Amar Gupta ◽  
Michael Nissan ◽  
Michael Carron ◽  
Giancarlo Zuliani ◽  
Hani Rayess

AbstractThe Internet is the primary source of information for facial plastic surgery patients. Most patients only analyze information in the first 10 Web sites retrieved. The aim of this study was to determine factors critical for improving Web site traffic and search engine optimization. A Google search of “rhinoplasty” was performed in Michigan. The first 20 distinct Web sites originating from private sources were included. Private was defined as personal Web sites for private practice physicians. The Web sites were evaluated using SEOquake and WooRANK, publicly available programs that analyze Web sites. Factors examined included the presence of social media, the number of distinct pages on the Web site, the traffic to the Web site, use of keywords, such as rhinoplasty in the heading and meta description, average visit duration, traffic coming from search, bounce rate, and the number of advertisements. Readability and Web site quality were also analyzed using the DISCERN and Health on the Net Foundation code principles. The first 10 Web sites were compared with the latter 10 Web sites using Student's t-tests. The first 10 Web sites received a significantly lower portion of traffic from search engines than the second 10 Web sites. The first 10 Web sites also had significantly fewer tags of the keyword “nose” in the meta description of the Web site. The first 10 Web sites were significantly more reliable according to the DISCERN instrument, scoring an average of 2.42 compared with 2.05 for the second 10 Web sites (p = 0.029). Search engine optimization is critical for facial plastic surgeons as it improves online presence. This may potentially result in increased traffic and an increase in patient visits. However, Web sites that rely too heavily on search engines for traffic are less likely to be in the top 10 search results. Web site curators should maintain a wide focus for obtaining Web site traffic, possibly including advertising and publishing information in third party sources such as “RealSelf.”


2008 ◽  
Vol 24 (4) ◽  
pp. 199-224 ◽  
Author(s):  
Paul Benjamin Lowry ◽  
Anthony Vance ◽  
Greg Moody ◽  
Bryan Beckman ◽  
Aaron Read

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