scholarly journals CAPTCHA – Security affecting User Experience

10.28945/3468 ◽  
2016 ◽  
Vol 13 ◽  
pp. 063-077 ◽  
Author(s):  
Ruti Gafni ◽  
Idan Nagar
Keyword(s):  
Response Time ◽  
Success Rate ◽  
User Experience ◽  
Cyber Security ◽  
Response Times ◽  
Turing Test ◽  
Security Threats ◽  
Age Factor ◽  
Automatic Software ◽  
Rate Of Success

CAPTCHA - Completely Automated Public Turing test to tell Computers and Humans Apart - is a test with the aim to distinguish between malicious automatic software and real users in the era of Cyber security threats. Various types of CAPTCHA tests were developed, in order to address accessibility while implementing security. This research focuses on the users’ attitudes and experiences related to use of the different kinds of tests. A questionnaire accompanied by experiencing five different CAPTCHA tests was performed among 212 users. Response times for each test and rate of success were collected automatically. The findings demonstrate that none of the existing tests are ideal. Although the participants were familiar with the Text-based test, they found it the most frustrating and non-enjoyable. Half of the participants failed in the Arithmetic-based test. While most of the participants found the picture and game based test enjoyable, their response time for those tests was the largest. The age factor was encountered as influencing both the attitude of the user and the performance, while younger users are more tolerant, have a better success rate, and are faster, the elder users found the tests annoying and time-consuming.

scholarly journals CAPTCHA – Security affecting User Experience

10.28945/3469 ◽  
2016 ◽  
Author(s):  
Ruti Gafni ◽  
Idan Nagar
Keyword(s):  
Information Technology ◽  
Response Time ◽  
User Experience ◽  
Cyber Security ◽  
Response Times ◽  
Turing Test ◽  
Security Threats ◽  
Age Factor ◽  
Automatic Software ◽  
Rate Of Success

[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] CAPTCHA - Completely Automated Public Turing test to tell Computers and Humans Apart - is a test with the aim to distinguish between malicious automatic software and real users in the era of Cyber security threats. Various types of CAPTCHA tests were developed, in order to address accessibility while implementing security. This research focuses on the users’ attitudes and experiences related to use of the different kinds of tests. A questionnaire accompanied by experiencing five different CAPTCHA tests was performed among 212 users. Response times for each test and rate of success were collected automatically. The findings demonstrate that none of the existing tests are ideal. Although the participants were familiar with the Text-based test, they found it the most frustrating and non-enjoyable. Half of the participants failed in the Arithmetic-based test. While most of the participants found the picture and game based test enjoyable, their response time for those tests was the largest. The age factor was encountered as influencing both the attitude of the user and the performance, while younger users are more tolerant, have a better success rate, and are faster, the elder users found the tests annoying and time-consuming.

Unravelling the relationship between response time and user experience in mobile applications

2020 ◽  
Vol 30 (5) ◽  
pp. 1353-1382
Author(s):  
Mengli Yu ◽  
Ronggang Zhou ◽  
Zhao Cai ◽  
Chee-Wee Tan ◽  
Huiwen Wang
Keyword(s):  
Response Time ◽  
User Experience ◽  
Mobile Applications ◽  
Response Times ◽  
Negative Influence ◽  
Three Dimensions ◽  
Network Environment ◽  
Content Type ◽  
Varied Response ◽  
The Impact

PurposeThis study examines the impact of response time on user experience for mobile applications and considers the moderating influence of gender and network environment on this relationship.Design/methodology/approachAn experiment was conducted with 50 young adults to evaluate their user experience of a mobile application that simulates variations in network environment and response time. User experience was evaluated based on the three constituent dimensions of tolerance, acceptance, and satisfaction.FindingsAnalytical results demonstrate that response time not only adversely affects user experience of mobile applications, but that this effect is not homogeneous across the three dimensions of tolerance, acceptance and satisfaction. The findings also illustrate that gender moderates the effect of response time on user experience, however, the negative influence is more salient for males than females, which is opposite to our hypothesis. The joint moderating influence of gender and network environment turned out to be partly significant.Practical implicationsBy illuminating users' tolerance, acceptance, and satisfaction with varied response times, findings from this study can inform the design of mobile applications such that desired levels of user experience can be assured with minimum resources.Originality/valueAlthough response time has been hailed as a key determinant of user experience for desktop applications, there is a paucity of studies that have investigated the impact of response time on user experience for mobile applications. Furthermore, prior research on response time neglects the multi-dimensional nature of user experience. This study bridges the above mentioned knowledge gaps by delineating user experience into its constituent dimensions and clarifying the effects of response time on each of these dimensions.

A Platform for Measuring the Response Time of Smartphones

2019 ◽  
Vol 63 (5) ◽  
pp. 50403-1-50403-15
Author(s):  
Edward T.-H. Chu ◽  
Heng-Chih Hsieh
Keyword(s):  
Response Time ◽  
Social Networking ◽  
User Experience ◽  
Graphical User Interface ◽  
Response Times ◽  
Low Cost ◽  
Mobile App ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Share Information

Abstract Smartphones are playing an increasingly important role in helping people share information and communicate with each other, as evidenced by an increasing number of applications (or apps), including news, search engine, mailbox, and social networking apps. The more heavily people rely on their phones, the more they begin to take the term “user experience” into consideration when buying a smartphone. Obviously, the key to providing a good user experience is to minimize the response time of each graphical user interface (GUI) operation, such as a touch, slide, or flick. Thus, it is crucial for smartphone manufacturers and mobile app developers to measure the response times to enhance the performance of the device or application. In this article, the authors present the SMArtphone Response Time measuring platform (SMART), a novel and low-cost platform for measuring the response time of a smartphone. SMART consists of a normal 30-fps (frame per second) webcam and a mirror. The proposed platform first simultaneously records the changes on a smartphone screen and the GUI operation shown in the mirror. It then adopts image processing techniques to analyze the latency of the GUI operation. The authors’ validation results show that the measurement error of SMART is less than 1/30 s, which means that SMART is a practical solution for measuring the latency of GUI operations. In addition, they adopted SMART for the measurements and analysis of six different commercial smartphones to further demonstrate its applicability.

scholarly journals Improving Ruby on Rails-Based Web Application Performance

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 319
Author(s):  
Denys Klochkov ◽  
Jan Mulawka
Keyword(s):  
Response Time ◽  
User Experience ◽  
Web Application ◽  
Performance Metrics ◽  
Response Times ◽  
Web Development ◽  
Performance Measurements ◽  
Application Performance ◽  
Client Side ◽  
Ruby On Rails

The evolution of web development and web applications has resulted in creation of numerous tools and frameworks that facilitate the development process. Even though those frameworks make web development faster and more efficient, there are certain downsides to using them. A decrease in application performance when using an “off the shelf” framework might be a crucial disadvantage, especially given the vital role web application response time plays in user experience. This contribution focuses on a particular framework—Ruby on Rails. Once the most popular framework, it has now lost its leading position, partially due to slow performance metrics and response times, especially in larger applications. Improving and expanding upon the previous work in this field, an attempt to improve the response time of a specially developed benchmark application is made. This is achieved by performing optimizations that can be roughly divided into two groups. The first group concerns the frontend improvements, which include: adopting the client-side rendering, JavaScript Document Object Model (DOM) manipulation and asynchronous requests. Another group can be described as the backend improvements, which include implementing intelligent, granular caching, disabling redundant modules, as well as profiling and optimizing database requests and reducing database access inefficiencies. Those improvements resulted in overall up to 74% decreased page loading times, with perceived application performance being improved above this mark due to the adoption of a client-side rendering strategy. Using the different metrics of application performance measurements, each of the improvement steps is evaluated with regards to its effect on different aspects of overall performance. In conclusion, this work presents a way to significantly decrease the response time of a particular Ruby on Rails application and simultaneously provide a better user experience. Even though the majority of this process is specific to Rails, similar steps can be taken to improve applications implemented with the use of other similar frameworks. As the result of the work, a groundwork is laid for the development of the tool that could assist the developers in improving their applications as well.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

Classification of Cloud Systems Cyber-security Threats and Solutions Directives

2017 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Hanane Bennasar ◽  
Mohammad Essaaidi ◽  
Ahmed Bendahmane ◽  
Jalel Benothmane
Keyword(s):  
Cloud Computing ◽  
Cyber Security ◽  
Data Security ◽  
Denial Of Service ◽  
Security Threats ◽  
Huge Number ◽  
Open Problems ◽  
Long Period ◽  
Near Future

Cloud computing cyber security is a subject that has been in top flight for a long period and even in near future. However, cloud computing permit to stock up a huge number of data in the cloud stockage, and allow the user to pay per utilization from anywhere via any terminal equipment. Among the major issues related to Cloud Computing security, we can mention data security, denial of service attacks, confidentiality, availability, and data integrity. This paper is dedicated to a taxonomic classification study of cloud computing cyber-security. With the main objective to identify the main challenges and issues in this field, the different approaches and solutions proposed to address them and the open problems that need to be addressed.

Cyber Security – Threats and Vulnerabilities to Road Transport

2016 ◽  
Author(s):  
Chris Reeves ◽  
Geoff Davis ◽  
David D. Ward ◽  
Tim Edwards ◽  
Alastair R. Ruddle
Keyword(s):  
Cyber Security ◽  
Road Transport ◽  
Security Threats

scholarly journals Guest Editorial: Introduction to the Special Section on Cyber Security Threats and Defense Advance

2020 ◽  
Vol 8 (2) ◽  
pp. 264-266
Author(s):  
Zhe Liu ◽  
Kim-Kwang Raymond Choo ◽  
Weiqiang Liu ◽  
Muhammad Khurram Khan
Keyword(s):  
Cyber Security ◽  
Guest Editorial ◽  
Special Section ◽  
Editorial Introduction ◽  
Security Threats

A novel study of preventing the cyber security threats

2021 ◽  
Author(s):  
Mohammed.I. Alghamdie
Keyword(s):  
Cyber Security ◽  
Security Threats

An investigation into the effect of cybersecurity on attack prevention strategies

2020 ◽  
pp. 53-60
Author(s):  
Mohammed I. Alghamdi ◽  
Keyword(s):  
Information Technology ◽  
Computer Networks ◽  
Cyber Security ◽  
Information Technologies ◽  
Vital Role ◽  
Cyber Attacks ◽  
Security Threats ◽  
Prevention Strategies ◽  
Sufficient Knowledge ◽  
Simplified Solution

Our economy, infrastructure and societies rely to a large extent on information technology and computer networks solutions. Increasing dependency on information technologies has also multiplied the potential hazards of cyber-attacks. The prime goal of this study is to critically examine how the sufficient knowledge of cyber security threats plays a vital role in detection of any intrusion in simple networks and preventing the attacks. The study has evaluated various literatures and peer reviewed articles to examine the findings obtained by consolidating the outcomes of different studies and present the final findings into a simplified solution.

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