Most of today's smartphones and tablet computers feature touchscreens as the main way of interaction. By using these touchscreens, oily residues of the users' fingers, smudge, remain on the device's display. As this smudge can be used to deduce formerly entered data, authentication tokens are jeopardized. Most notably, grid-based authentication methods, like the Android pattern scheme are prone to such attacks.Based on a thorough development process using low fidelity and high fidelity prototyping, we designed three graphicbased authentication methods in a way to leave smudge traces, which are not easy to interpret. We present one gridbased and two randomized graphical approaches and report on two user studies that we performed to prove the feasibility of these concepts. The authentication schemes were compared to the widely used Android pattern authentication and analyzed in terms of performance, usability and security. The results indicate that our concepts are significantly more secure against smudge attacks while keeping high input speed.
Historically, journalists have manually selected news. This process has been changing dramatically with the development of personalized news aggregators (PNAs), which rely on social recommender systems (SRSs) technology. PNAs provide content geared to the personal preferences of news consumers, and thus offer new business opportunities for news providers. However, little research exists on users' intention to usePNAs or their willingness to pay (WTP) for such services. We developed PNA prototypes based on hybrid and social recommender systems and tested their performance in an online experiment. While the results showed little difference in users' intention to use either system, content provided by SRSs was perceived as more accurate. Furthermore, the optimal price point for the social recommender system (€1.68) was 68% higher than the price point for the hybrid recommender system.
Owing to increasing adoption rates of voice assistants (VAs), integrating voice commerce (VC) as a new consumer channel is among the top objectives of businesses' current voice initiatives. VC offers consumers a new way of shopping by using VAs, which comes with benefits but also entails risks that extant literature only partially examines. Therefore, this research seeks to understand consumers' perceived benefits and risks when using VC by means of a mixed-methods design. In the first study, we conducted 30 semi-structured interviews with VA users to develop a research model of VC risks and benefits. The second study empirically validated the research model using survey data from 176 participants. According to our results, consumers perceive VC as convenient and enjoyable but also perceive risks regarding the VA's reliability, opacity, and controllability. Thus, we shed light on the determinants of channel choice in e-commerce and provide guidelines for designing VC applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.