Designing trust into online experiences

By Ben Shneiderman. CACM, 2000

483 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3d75b20805b243a3f0082bde19e4d4d24744d105

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Citations in the corpus

Personalization versus Privacy: An Empirical Examination of the Online Consumer’s Dilemma (2005, background): “Research Research on privacy suggests that trust in online transactions are closely related to issues of privacy [19,48].”
Literature derived reference models for the adoption of online shopping (2005, background): “Trust Lack of trust on the online transactions and the eretailers has been identified as one of the major obstacles in the adoption of online shopping in a large number of discussions [24,37,68,71,78,83].”
Psychological antecedents of institution-based consumer trust in e-retailing (2004, unknown): “Most has been on the effects of situational factors; i.e., the design of the website and the use of brand names or trust seals [17,33,37,38,47,50–52,54 ,55 Trustismuch more important in an online situation than in an ofﬂine situation.”
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy (2020, unknown): “His community-based definition leads to raising trust by relying on respected independent oversight structures (Shneiderman, 2000, 2016) including: - companies with proven capacity to build, operate, and maintain technology, - professional organizations that develop effective voluntary guidelines…”
An overview of online trust: Concepts, elements, and implications (2005, methodology): “... selling point) • Up-front disclosure of all aspects of the customer relationship (e.g., company competence, security, privacy, financial, or legal concerns) • Display of seals of approval or third-party certificate • Use of comprehensive, correct, and current product information • Use of a relev”
Online trust: a stakeholder perspective, concepts, implications, and future directions (2002, background): “Companies can improve online trust by disclosing patterns of past performance, provide references from past and current users, get third-party certifications, and make it easy to locate, read and enforce policies involving privacy and security (Schneiderman, 2000).”
On-line trust: concepts, evolving themes, a model (2003, background): “Similarly, expectation has a strong cognitive component of predictability as well as a hopeful future-oriented component (Shneiderman, 2000), which is affective.”
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology (2002, background): “, in the digital imaging industry) and Web-based interaction is common, a vendor should probably focus more on building beliefs about its own competence through such mechanisms as endorsements from respected customers, seals of approval from professional associations, or a very highquality Web site ”
How Presentation Flaws Affect Perceived Site Quality, Trust, and Intention to Purchase from an Online Store (2005, background): “Trust facilitates cooperative behavior [65].”
Technology, Humanness, and Trust: Rethinking Trust in Technology (2015, background): “For instance, Shneiderman (2000) claims that “If users rely on a computer and it fails, they may get frustrated or vent their anger by smashing a keyboard, but there is no relationship of trust with a computer” (p. 58).”
The mechanics of trust: A framework for research and design (2005, background): “This loss of information is often considered to increase uncertainty, and to result in lower trust (e.g. Handy, 1995; Shneiderman, 2000).”
Augmenting web pages and search results to support credibility assessment (2011, methodology): “…how people evaluate credibility so as to help Webmasters and designers create sites that will appear more credible (regardless of their true information quality), e.g., Schneiderman’s guidelines for designing trust online [30] and Ivory and Hearst’s tool for high quality site design [19].”