Usability of CAPTCHA in Online Communities and Its Link to User Satisfaction

Author:

Swaid Samar I.1

Affiliation:

1. Philander Smith College, USA

Abstract

Completely automated public turning test to tell computers and humans apart (CAPTCHA) is a security mechanism that is used by online communities to block spam and hacking. Today, there are a large number of sophisticated CAPTCHAs that are robust; however, most of them are unusable. This chapter describes a study to examine types and characteristics of Text CAPTCHAs used by top 50 online communities. Furthermore, the chapter is the first of its type to develop a scale to measure usability of text CAPTCHA and to examine the relationships between dimensions of CAPTCHA and perception of usability and satisfaction with registration process in online communities. Factor analysis and equation modeling study suggests that text-based CAPTCHA can be measured on four reflective dimensions of (1) content, (2) visual layout, (3) distortion, and (4) service in which correlate significantly to users' sanctification with online community.

Publisher

IGI Global

Reference55 articles.

1. Acquire. (2014). Embrace Social Content with Confidence. Retrieved from: http://www.acquia.com/sites/default/files/library/attachment/mollom-data-sheet.pdf

2. Ahmad, A., & Yan, J. (2010). Color, Usability, and Security: A Case Study. Retrieved from: http://www.computer.org/csdl/mags/ic/2012/02/mic2012020044-abs.html

3. Ahn, L., Blum, M., Hopper, N., & Longford, J. (2013). CAPTCHA: Using Hard AI problems for Security. The 22 International Conference on Theory and Applications on Cryptographic, 249-311.

4. Alexa. (2015). Actionable Analytics for the Web. Retrieved from: http://www.alexa.com/

5. Azad, S., & Jain, K. (2013). CAPTCHA: Attacks and Weaknesses against OCR Technology. Global Journal of Computer Science and Technology Neural & Artificial Intelligence, 13(3).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3