Home > Vol. 36, No. 1
- Quanxin Liu : Design Major, Graduate School of Dongseo University, Student, Busan, Korea
- Kyungwon Kim : College of Design, Dongseo University, Professor, Busan, Korea
Background The government website is an important information release platform for e-government in smart cities, where massive open data intersects with many aspects of people's lives. According to the report "China Open Data Index 2021", the open data of Qingdao represents the highest level of openness of data on government websites in mainland China. Thus the Qingdao government website selected for this usability test provides a glimpse of the overall level of Chinese e-government websites. In this study, "Qingdao Government Open Data Network" was selected as the subject of an experiment on the usability test of government websites. A scientific usability assessment of government websites from the perspective of users can enable users to access data resources effectively, efficiently and satisfactorily.
Methods This paper uses the criteria format (CIF) to test the usability of participants' actual task performance. The experiment involved the following process: the test task was first properly defined, then the participants' performance in the process of task experience observed and tested. And finally the relevant criteria of website usability analyzed which based on the test results.
Results The test results revealed that the usability criteria (effectiveness, efficiency, etc.) of the "Qingdao Government Open Data Network" were low and the participants were not very satisfied. This is in accordance with certain metrics of the Qingdao e-government website, namely effectiveness (independent completion frequency, auxiliary frequency, error frequency, error times, help times, standard deviation, etc.) and efficiency (completion time, the completion rate/completion time). In terms of satisfaction (measured with a Likert 7-point scale questionnaire), participants were satisfied with the visual design, navigation menu and content layout of the website, but the overall average score was 54, and the levels of satisfaction were still low.
Conclusions To some extent, this shows that the usability index of government websites is directly proportional to the satisfaction of users. Based on the analysis of specific tasks, it was found that the compatibility of the accessing user, the keyword search method (fuzzy search), the information retrieval, the visualization function, the length and location of the task path and the layout of the information on the web page all influenced the participants' task performance. Through this study, the need to improve the interface of the Qingdao government website was confirmed, and the user's information and service efficiency should be improved.
Copyright : This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted educational and non-commercial use, provided the original work is properly cited.
E-government considerations play a crucial role in the last two decades related to the issue of the smart city (Fietkiewicz & Stock, 2015; Mainka et al., 2013; Stock, 2011). The governmental website is an information release platform for e-government. The data and massive amounts of information disclosed on government websites involve all aspects of public life. As a result, how to grant users better access and use has become a key issue. From the user's point of view, the high accessibility of government websites can make users’ experience of websites effective, efficient and satisfactory. Therefore, a scientific usability evaluation of government websites from the perspective of users is key if designers are to help bring citizens’ smart city life.
According to the data of the seventh national census, there are 21 megacities (cities whose permanent population exceeds 10 million) in China. At present, 17 cities have established their own government websites to build smart cities. According to the results of a long-term public opinion survey released by the research team of Harvard Grey Center (2020) and the 2022 Edelman Trust Barometer (2022), Chinese citizens have more than 91% confidence in the government. According to a survey on the degree of trust in different countries in 2021, approximately 80% of Chinese respondents said they trusted the media, which is the highest proportion of any country surveyed (Statista, 2022). Given this, how to evaluate the usability of e-government websites from the perspective of users, what scientific and effective methods are used to evaluate the usability of government websites, and what needs to be optimized in government websites are all issues that must be considered when building a city smarter.
The Qingdao Government Open Data Network was selected for participants testing because it represents the highest level of data openness for government websites in mainland China (2021), according to the China Open Data Index 2021 report. In this paper, the usability of the Qingdao government websites is assessed, and the experiment utilizes the CIF criteria of the usability test scheme.
The Working Group on E-government in the Developing World (Pacific Council on International Policy, 2021) denotes that the goal of e-government is to allow greater public access to information, facilitate more accessible government services, and make government more accountable to citizens. It includes governmental websites, governmental social media channels, and other digital governmental services (Palvia & Sharma, 2007). This paper focuses on governmental websites.
According to Jacob Nielsen (1994b), usability refers to a computer system's capacity to be used effectively. Learnability, Efficiency, Errors, Memorability, and Satisfaction are the five aspects that constitute usability. Its goal is to determine participant satisfaction with the product by collecting quantitative (e.g., successful completion rates, errors, and time on task) and qualitative (e.g., likes or dislikes, and comments) data (Nist, 2021).
Website Usability is the extent to which a site can be used by a specified group of users to achieve specified goals with effectiveness, efficiency, and satisfaction in a specified context of use (Powell, 2002). Therefore, website usability is critical in the design and development of government portal websites. From the perspective of the residents “many of the primary e-government functions towards citizens involve the web-based provision of government information and services” (Manoharan & Carrizales, 2011, p. 284). If governmental websites fail to perform readily from a usability standpoint and instead block less-knowledgeable citizens from satisfactory contact with their government, the evolution of e-Government will be stymied (Baker, 2009).
The construction of the criteria system is the main premise for investigating the usability of government websites and this has become the focus of a number of researchers and practitioners. Huang and Chao (2001) compiled a list of 18 criteria of website usability issues, evaluated 33 government websites using these criteria, and proposed seven specific improvement solutions as a result. David L. Baker (2009) employed a content analysis approach to extract and compare government website usability evaluation criteria based on navigation, online help, and accessibility. Stowers' (1999) study, which used expert interviews, presents numerous characteristics of the usability of e-government websites, such as “user help,” “online service,” and “search and navigation”. Eighmey and McCord (1998) have proposed 17 website usability criteria, such as personal participation, valuable information, a straightforward structure, a desire to create communication, etc.
Numerous researchers have assessed the usability of government websites and discussed and examined the existing dimensions of evaluation as well as the most appropriate assessment techniques and tools. This has led many to employ automated methods of assessing government websites. For example, Ellison (2004) utilized Bobby software and other tools to test the usability of White House official websites and uncover challenges that hindered users from successfully accessing them. Li et al. (2011) evaluated website accessibility regulations and standards, as well as related evaluation research. They employed the Achecker online software tool to evaluate the accessibility of government websites in four recognized international cities, as well as Beijing and Shanghai, in accordance with the WCAG2.0 (Website Content Availability Guide) Level A standard.
Some researchers have investigated the usability of government websites from the perspective of the user. Jong and Lentz (2006) evaluated the usability of government portals in 15 cities by creating scenarios, completing surveys and identifying potential issues with the human-computer interaction interface and website navigation. This study examined the feasibility of a new expert-centred method for evaluating municipal (and other government) websites, and assisted experts in understanding the demands of users (Jong & Lentz, 2006).
An analysis of relevant research literature on usability evaluation of government websites accounts for large populations reveals that usability evaluation methods can be roughly divided into two categories: automated evaluation and non-automated evaluation. The automated testing software has mostly been used for the automatic evaluation. This includes tools such as Ask Alice, Bobby, WCAG2.0 or WebXact, which are designed to check government websites for faults that could lead to accessibility problems. Nevertheless, automated testing programs can erroneously categorize components as accessible or inaccessible, do not account for individual variations, do not address usability or functionality issues, do not address compatibility issues with assistive technologies, and overlook numerous accessibility issues that a person might recognize, among other restrictions (Jaeger, 2003; Mueller, 2008; Slatin & Rush, 2003; Sloan et al., 2002). Expert testing and user testing are the two basic types of non-automated evaluation. Expert testing consists mostly of heuristic and discussion evaluations, whereas user testing consists primarily of observation, questionnaire survey, and interview methods.
Prior studies suggest that employing the users' usability testing approach might help researchers evaluate website usability more objectively and efficiently. Jaeger (2006) argued that user behaviour is a record of real activity rather than a subjective understanding of designers or experts, so evaluating user behaviour can better reflect the objectivity of usability. At present, there are a few experimental studies based on users' actual experience in China, and the relationship between usability of government websites and users' actual experience has not been established.
The usability of government websites is tested on the basis of users' experience, and the experimental criteria adopted are taken from the Common Industry Format (CIF). CIF provides a criterion for reporting results of formal usability tests in which quantitative measurements were collected and is particularly appropriate for summative testing (NIST, 2016b). A common format for reporting the test and its results will facilitate the development of the test criteria and the interpretation of its results, while also reducing misinterpretation of the test results (Morse, 2000).
CIF has been approved by the ANSI standard and the National Institute of Standard and Technology (ANSI/NIST 345-2001) in 2001 as the criterion for reporting the results of usability tests. It is also accepted by the International Organization for Standardization (ISO/IEC 25062:2006). CIF plays a guiding and normative role in the usability test. (NIST, 2016b; NIST, 2016a; Hodgson, 2008). It provides a common format to report the approaches and results of usability tests, which applies to software products including websites (Scholtz, 2000). In addition, the focus of the CIF testing process is mainly to complete the testing tasks, and the results reflect the objective performance of the actual tasks of the testers involved. The testing process is detailed, rigorous and transparent. Therefore, using CIF to test government websites can reflect the usability level and characteristics of the test object from the perspective of users more accurately and objectively. It requires that researchers use the experimental method record to analyse various situations in the testing process, and the format has guiding significance for specific practical activities (Scholtz, 2000).
In order to find out some problems that affect the usability in the construction of government websites, to study how the usability of websites affects the satisfaction of users, and to explore which factors affect the user experience and the usability of websites in the testing process. This study uses a criteria format to evaluate the actual task performance of the participants in the test in the Qingdao government network from the perspective of user experience. Consequently, this project is a usability testing research study based on the CIF, which aims to evaluate the specific task behaviours of specific participants and measure the effectiveness, efficiency and user satisfaction of the e-government website.
According to CIF, the participants in the test should have basic knowledge in the usability of the tested products. The groups targeted by government websites should have basic computer skills and experience in surfing the Internet. A significant number of participants must be tested to generate valid summative statistical analyses. For this purpose, 8 or more subjects/cells (segment) are recommended. 10 eligible residents in Qingdao were selected for this test (see Table 1).
Information about the participants
|1||31||F||Media editor||Media||Single||10||240||State Council; China Credentials Verification|
|2||180||Ministry of Education of the Peoples Republic of China|
|3||33||f||Administrator||English||Single||8||240||China Credentials Verification; Qingdao municipal bureau of human resource and social security|
|Medicine||Cohabited||6||264||Qingdao municipal bureau of human resource and social security; The Public Security of Exit-entry Administrative Service Platform of Shandong; Qingdao Health Continuing Education Platform.|
|Married||5||120||Civil Aviation Administration of China|
|11||168||National Medical Products Administration; Qingdao municipal bureau of human resource and social security; National Health Commission of the Peoples Republic of China|
|5||180||Qingdao municipal bureau of human resource and social security|
|Married||15||192||China Credentials Verification; Qingdao Talent Network; Qingdao municipal bureau of human resource and social security|
|Single||2||228||National library of China; China Credentials Verification; Fujian Provincial People's Government Portal Website; Fujian Provincial Library|
|10||29||M||Teacher||Music||Married||5||120||China Credentials Verification; Qingdao Tax Service, State Taxation Administration|
Stowers (2002) conceptually integrates the e-government factors along six dimensions of website usability: online services, quality of user-help features, quality of service navigation tools, legitimacy features, and accessibility. Baker (2009) goes further to integrate the research of Nielsen (1994), Pearrow (2000) and Nielsen and Tahir (2001). Baker reviews these aspects and typical variables: online services; user-help; navigation; legitimacy; information architecture, and accessibility accommodations. In addition, according to the relevant standards (Slatin & Rush, 2003), 10 corresponding test tasks were set up, which covered the browsing, searching, updating and retrieval of government website information and the interaction between users and websites. The first eight tasks were designed according to the existing web page menu categories (scenarios, domains) in the website, and the remaining two tasks were from the aforementioned usability testing criteria for government websites (as shown in Table 2).
Classification of test tasks
|Aspect of content||Transportation||Task 1||Search the subway interchange station.|
|Environment||Task 2||Search for air pollution this week.|
|Education||Task 3||Search the address and contact information of special education schools. Find the nearest one where you live.|
|Geography||Task 4||Search the address and contact information of Junior high school. Find the nearest one where you live.|
|Social insurance||Task 5||Query the annual change of personal income tax.|
|Public safety||Task 6||Query the distribution of the resident population.|
|Health||Task 7||Find the nearest address and contact information to get COVID-19 vaccine.|
|Finance||Task 8||Query port throughput.|
|Usability criteria 1||Task 9||Find user registration and modification of personal information.|
|Usability criteria 2||Task 10||Browse the “online help”.|
CIF format defined usability evaluation is measured by three types of metrics: effectiveness, efficiency, and satisfaction. This technical specification can be used to report the results of a test of usability as defined in ISO 9241-11: effectiveness, efficiency and satisfaction in a specified context of use (Scholtz, 2000). The definitions and contents of usability in the above two standards are fundamentally similar. Therefore, the criteria selected in this study when testing the usability of government websites mainly include effectiveness, efficiency and user satisfaction. In addition, the data of each tester who completed the task was processed to obtain the standard deviation (“Standard Deviation”, 2022; Weisstein, 2003). The further measurement basis of each index is as follows.
Effectiveness is measured by the percent task completion metric, which refers to the degree to which the testers complete a certain task completely and correctly, and the percent task completion consists of frequency of independent completion and frequency of errors. The frequency of independent completion refers to the degree to which the testers independently complete a task without any help. Frequency of assists refers to the degree to which the testers can complete a certain task by using online help or other forms of help (for example, the participants ask the administrator for help, the administrator provides help to the testers, the frequency of participants accessing the help page during the task, etc.). The number of assists refers to the number of times that the testers asked for help in the process of completing a certain task. The number of errors refers to the number of times a user failed to complete a task successfully or repeated an operation.
The metrics of efficiency are time on task, namely Completion Rate and Percent task completion /completion time. In addition, the search engine has the keyword fuzzy search function in the search process, which is also one of the important factors affecting efficiency. Since the text understanding technology based on natural language understanding has not yet reached the practical level, people now mostly extract several keywords to describe text information (He & Peng, 1998). So in the process of searching, when users may make mistakes in input or users themselves do not know how to express themselves, the search system should be able to jump to the correct or relevant search results, otherwise, the whole search system will appear unfriendly (Hu, 2017). In the search process of e-government, good user experience and friendly human-computer interaction are required, so fuzzy search also needs to be supported.
Satisfaction describes a user's subjective response when using the website, which is obtained by a questionnaire. Questionnaires to measure satisfaction and associated attitudes are commonly built using Likert. Participants in the test are required to fill out a user satisfaction survey form after completing the corresponding tasks.
Table 3 reflects the overall situation from the perspective of participants after ten tasks on the Qingdao e-government website.
Overall situation of participants' task completion
|Participant||Frequency of independent
|Frequency of errors||Percent task completion||Frequency of assists||Completion time (min)||Percent task||Mean Time-On-Task (min)||Number of errors||Number of assists||Number of failed task|
(1) Effectiveness metrics
Table 3 details the statistics for effectiveness metrics. The average frequency of independent completion of all participants is 87%, and the corresponding average frequency of assists and frequency of errors are 45% and 5%, respectively. The average number of help times was 4.7. Each tester sought help in the test. The above data shows to a certain extent that the participants in the test will encounter certain difficulties when they complete the task independently, and they need additional assistance from the experimental administrator to effectively complete the task. In addition, the average number of errors is as high as 9.7, and the standard deviation of the number of errors is only 3.47. The participants have a low degree of volatility, which shows that the probability of each person making errors is quite high when completing the web page test. Furthermore, the standard deviations of independent completion rate, assisted completion rate and failure rate are 10.59, 13.54 and 7.07, respectively, which indicates that the performance of participants in the test fluctuates greatly.
(2) Efficiency metrics
The average time for testers to complete all tasks on the Qingdao Government Open Data Network website is 16.51 minutes, with a standard deviation of 5.67 and an average task time of 1.65 minutes. Among them, the participants who took the longest time spent an average of 2.36 minutes to complete a task, and the shortest time was 0.76 minutes. Another data point reflecting the efficiency index: the completion rate/completion time is only 6.67%, and the standard deviation is 2.99. These figures show that the efficiency index of the website is also low.
(3) Satisfaction metrics
The questionnaire adopts a Likert 7-point scale. The descriptive analysis of SPSS (Table 4) indicates that there are no outliers in the current data, so we can directly describe and analyse the average value. The average score of each question is then converted from a seven point scale to a hundred point scale (illustrated in the diagram). The statistical results show that after the conversion to the percentile system the overall average degree of satisfaction is 54. According to the results of the percentile satisfaction questionnaire, only two questions yielded a degree of satisfaction exceeding 60 points, proving that the testers' satisfaction degree with all aspects of the website is generally low.
Descriptive analysis of satisfaction questionnaire
|Name||Minimum||Maximum||Average||Standard deviation||Percentile average|
The satisfaction test results indicate that the participants were relatively satisfied with the visual experience of the website, navigation menu and content layout of the webpage (Tasks 2, 7 and 8). According to the performance of the testers in the tasks, the testers seek help and make mistakes in the assigned tasks with a high help rate of 45%, which also illustrates to some degree that the testers will encounter more difficulties when completing the corresponding tasks on this website, which will affect the completion of the tasks.
In analysing the overall situation, it is important to analyse the specific completion of different tasks, so as to find out more specific differences.
(1) Analysing the results of Tasks 1, 2, 5, 6 and 8 confirms that the main purpose of these tasks is to determine whether the testers can easily find and browse relevant practical information on the website. If the testers can quickly and conveniently find various relevant information on the website, it shows that the information layout is reasonable and practical, and data is relatively easy to find, leading users to have a convenient experience. During the test, most testers searched for related tasks through search engines. The keywords of Task 5 and Task 8 are special and not easy to confuse, so the average time to complete these two tasks is relatively short. Participants’ Mean Time-On-Task time is less than 1 minute, and their independent completion rates are 90% and 100% respectively. However, the keywords of Task 1, Task 2 and Task 6 are not rich enough, and the average time to complete this task is high. The Mean Time-On-Task is 3.87 minutes, 3.32 minutes and 2.58 minutes respectively, and the independent completion rates are 70% and 60% respectively. Because keywords have no fuzzy search function, testers can not find the results efficiently, which greatly increases the error rate and help rate. The problem of there being no keyword fuzziness affects the completion of all tasks, and half of the participants clearly indicated it in the feedback and comments in Table 5.
Analysis of the completion results of all tasks
(2) Analysing the results of Tasks 3, 4 and 7 reveals that different information retrieval and searching methods will affect the efficiency of users in locating the required information and completing the corresponding tasks, thus directly affecting the website’s usability. When tackling these tasks, the testers can find that the information inquiry service of the Qingdao Government Open Data Network has a special column named “Map Service” in the middle of the homepage. The retrieval mode of this column belongs to integrated retrieval, which has the function of classified inquiry, and its retrieval objects include the inquiries of the subway, shopping malls, shops and so on.
According to the website settings, the testers can easily retrieve the required content by selecting the corresponding retrieval object and inputting the corresponding retrieval words in the retrieval box. However, at present, the board does not function properly, so the testers can only find related tasks through search engines, which increases the access time and error rate of each task. Furthermore, when searching for the target places close to the participants' residences, because the website does not provide corresponding visual maps, the participants can only query information using their own experience and other helpful software. This greatly increases the browsing time and affects the access efficiency, which is unfavourable for users to browse (40% of the participant's feedback in the satisfaction questionnaire).
(4) Task 10 result analysis: The website’s online help feature is a tool to help users effectively find website information. Online help is an important part of the website information layout, and whether the information related to user help on the website can be easily found is an important factor that affects the user experience. The “Smart Help” feature of the webpage is prominently displayed on the right side of the homepage, which is easy for testers to find. It is in line with the usability standard guide and the “user help” dimension mentioned by Stowers (2002), and the independent completion rate of users reaches 100%.
(5) Analysis of other problems: 60% of users mentioned in the website satisfaction feedback that the information was not updated in a timely manner and the latest information could not be found. Infrequent information updates seriously affect the usability and efficiency of government websites. 50% of users mentioned the lack of rational information distribution and classification, and insufficient related words, which also seriously affected the human services and use efficiency of the website. Based on the analysis of the different performances and reasons for website usability during the task experiment, it is apparent that the main factors that affect the user experience and website usability of testers are information (keyword) retrieval mode, map/visual function, information layout and interactivity, etc.
In this study, the CIF is used to objectively and quantitatively measure and compare the usability of the website of the Qingdao Public Data Open Network. The test results are consistent with users' subjective feelings and reactions, and reflect the actual usability level of the website to a large extent.
(1) Compatibility of access users
Government websites are provided to satisfy the needs of different access users, with information and services divided according to user categories, thus improving the order of the content and thus the usability of the website. The completion of the tasks reveals that the effectiveness, efficiency and other related criteria of the "Qingdao Government Open Data Network" website are low. The user satisfaction of the testers during the task completion is not high, which also shows that the usability criteria are directly proportional to the user satisfaction to a certain extent. In addition, by comparing the variance of relevant data such as independent completion rate, error times and help times, it becomes clear that the standard deviation associated with the Qingdao Government Open Data Network website is relatively large. It indicates that within this environment, the testers' performance fluctuates vastly, which means the government website needs to be better compatible and personalized for users from various industries. The division of relevant information and services according to user categories increases the orderliness of the content of the website and thus can improve the usability of the website. Although the website follows the WCAG 2.0 international standard and the Chinese Technical Requirements for Web Accessibility Design and related specifications in providing links to people with disabilities — mobility impairments, visual impairments and reduced reading ability due to aging etc. — the entrance to this access point is not obvious.
(2) Keyword search method (fuzzy search)
The absence of an fuzzy search function on the website increases the search time and affects user loyalty. Comparing the completion of different tasks of the testers in the experiment reveals that when a complex keyword search is not involved, such as Task 5, Task 8, Task 9 and Task 10, the independent completion rate, completion time, effectiveness and efficiency of the tasks are all high. In addition, the analysis and comparison of the experimental process of each specific task demonstrates that the main factor that affect users' actual experience is the way in which information is retrieved by keywords and the need to provide keyword fuzzy search functionality. These factors play an important role in the positive experience of government website users and effective access to government information and services. Providing keyword fuzzy search can therefore greatly enhance the efficiency of using government websites.
(3) Information retrieval
Information retrieval is directly related to the efficiency with which users can find information and the usability of the website. Through the experiment, it can be found that firstly, the information retrieval function should be set in the homepage to meet the users' retrieval needs. Also, the information retrieval mode affects the users' experience, among which the retrieval mode that integrates the information of the whole website and can be categorized can be more convenient for users to find information and improve the retrieval efficiency. Although the Qingdao government website has set up the classification of the search content, the section is not yet running properly, which greatly affects the search efficiency. For example, task 4, although all participants could complete it independently, it took 1.5 minutes, and the failure rate was 0.6. Secondly, the setting of information keywords will also affect the user experience. For example, when completing Task 8 (without confusing keywords), compared with Task 2, the average time for participants to complete tasks is reduced by 2.66 minutes. The independent completion rate also increases by 30%, and the failure rate is zero. In addition, in the satisfaction survey, the average score of the third question “easy to use” was 54, which is low. Furthermore, in the satisfaction feedback, half of the participants mentioned that the search function was flawed. This further demonstrates that proper classification of information retrieval can make it easier for users to find information and improve retrieval efficiency.
(4) Visualization function
The lack of certain visualization functions can make users significantly less efficient in their use and increase the time taken to complete tasks. Proper visualization is helpful for users in locating information, and rich visualization functions can improve the accessibility of websites. For example, when Task 7 was completed, the test participants did not provide the corresponding visual map and navigation location during the searching process, so the user could not quickly find the address nearest to their location. From the experimental results, the independent completion rate of this task is only 80%, and the average number of errors is 0.5. In addition, throughout the duration of the experiment, when the participants completed the task, all of them made mistakes or failed due to the missing map. Therefore, the placement and optimization of visualization functions in government websites are critical in order to improve their usability.
(5) Task path link length and location
The more layers of links a user has to complete a task, the more likely they are to become confused. For example, when the participants completed Task 10, they could quickly find “User Help” on the homepage and complete the task after one link. The independent completion rate was 100%, but because the location was not obvious in the sidebar, the average time was 0.43 minutes; while in the completion of Task 9, the user registration task, the registration portal is located in a prominent position on the home page (the top), so the average time was 0.38 minutes, the fastest among all tasks. Therefore, the number of link layers required for users to complete each task should be minimized in the e-government website. This saves the response time of the page and the user's access time, avoids the generation of information confusion, and thus improves the efficiency of the user's task completion. Therefore, the number of link layers required for users to complete each character should be minimised in government websites, thus saving page response time and user access time and avoiding the creation of information confusion as a way to improve the efficiency of user task completion.
(6) Information layout of web pages
A simple website interface provides a relaxing experience for the user, whereas a complex and cluttered interface tends to create a sense of tension and thus directly affects the user's efficiency in using the website. The layout of information on the webpage directly affects the usability of government websites and the users’ access behaviour. Important operation portals on government websites (such as “user help”) should be clearly visible, and the classification of information on government websites should be clear and reasonable, so as to reduce users' cognitive and searching burden. According to the survey satisfaction data, the participants considered the layout of the website to be clear and logical. Although the participants in the tesst were influenced by some objective questions about keywords in the experiment, because the commonly used information was reasonably classified and its title was eye-catching, the participants were nonetheless able to accurately find it when completing the corresponding tasks. Through this study, the need to improve the interface of the Qingdao government website was confirmed, and the user's information and service efficiency should be improved.
In summary, government websites need to be improved in the following areas to enhance usability: categorise different information to improve user compatibility; add fuzzy search functions to enhance efficiency; run categorisable information retrieval functions; add appropriate visualization to reduce the error rate of searching; reduce the number of levels of links required for users to complete each task to save user access time and web access time; and a streamlined, clear website layout to help users complete tasks more accurately.
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