Make It Short and Easy: Username Complexity Determines Trustworthiness Above and Beyond Objective Reputation
نویسندگان
چکیده
Can the mere name of a seller determine his trustworthiness in the eye of the consumer? In 10 studies (total N = 608) we explored username complexity and trustworthiness of eBay seller profiles. Name complexity was manipulated through variations in username pronounceability and length. These dimensions had strong, independent effects on trustworthiness, with sellers with easy-to-pronounce or short usernames being rated as more trustworthy than sellers with difficult-to-pronounce or long usernames, respectively. Both effects were repeatedly found even when objective information about seller reputation was available. We hypothesized the effect of name complexity on trustworthiness to be based on the experience of high vs. low processing fluency, with little awareness of the underlying process. Supporting this, participants could not correct for the impact of username complexity when explicitly asked to do so. Three alternative explanations based on attributions of the variations in name complexity to seller origin (ingroup vs. outgroup), username generation method (seller personal choice vs. computer algorithm) and age of the eBay profiles (10 years vs. 1 year) were tested and ruled out. Finally, we show that manipulating the ease of reading product descriptions instead of the sellers' names also impacts the trust ascribed to the sellers.
منابع مشابه
Improving Trustworthiness in E-Market Using Attack Resilient Reputation Modeling
Asymmetric information is a major problem in e-commerce transactions as it gives rise to adverse selection and moral hazard problems. Reputation mechanisms provide a solution to this problem by discouraging fraudulent behavior and encouraging honest behavior of participants in the uncertain and un-trusted environment of e-market. This paper discusses trust and reputation relationships, and high...
متن کاملEnhancing Trust-Based Competitive Multi Agent Systems by Certified Reputation
Trust models play a crucial role in many application contexts involving competition like e-commerce, e-learning, etc. The above application domains deal with very-large-size sets of users with heterogeneous platforms. As a consequence, the Multi-Agent Systems paradigm appears to be one of the most promising approaches to apply in this context. Verifying the trustworthiness of a reputation feedb...
متن کاملJust Noticeable Difference Estimation Using Visual Saliency in Images
Due to some physiological and physical limitations in the brain and the eye, the human visual system (HVS) is unable to perceive some changes in the visual signal whose range is lower than a certain threshold so-called just-noticeable distortion (JND) threshold. Visual attention (VA) provides a mechanism for selection of particular aspects of a visual scene so as to reduce the computational loa...
متن کاملWho Deserves My Trust? Cue-Elicited Feedback Negativity Tracks Reputation Learning in Repeated Social Interactions
Trust and trustworthiness contribute to reciprocal behavior and social relationship development. To make better decisions, people need to evaluate others' trustworthiness. They often assess this kind of reputation by learning through repeated social interactions. The present event-related potential (ERP) study explored the reputation learning process in a repeated trust game where subjects made...
متن کاملThe place of the Principle of Proceedings within a reasonable time in the criminal proceedings
Observing a reasonable deadline throughout the criminal investigation process, as one of the most fundamental defensive rights of the accused, emphasizes the importance of reasonable expediting in the process of proceedings in a high degree of accuracy, which considers necessary for the fair trial and the desired outcome of criminal proceedings. Delivering justice within a reasonable time is on...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 8 شماره
صفحات -
تاریخ انتشار 2017