2,932,267 research outputs found

    Are HIV smartphone apps and online interventions fit for purpose?

    Get PDF
    Sexual health is an under-explored area of Human-Computer Interaction (HCI), particularly sexually transmitted infections such as HIV. Due to the stigma associated with these infections, people are often motivated to seek information online. With the rise of smartphone and web apps, there is enormous potential for technology to provide easily accessible information and resources. However, using online information raises important concerns about the trustworthiness of these resources and whether they are fit for purpose. We conducted a review of smartphone and web apps to investigate the landscape of currently available online apps and whether they meet the diverse needs of people seeking information on HIV online. Our functionality review revealed that existing technology interventions have a one-size-fits-all approach and do not support the breadth and complexity of HIV-related support needs. We argue that technology-based interventions need to signpost their offering and provide tailored support for different stages of HIV, including prevention, testing, diagnosis and management

    A model and framework for online security benchmarking

    Full text link
    The variety of threats and vulnerabilities within the online business environment are dynamic and thus constantly changing in how they impinge upon online functionality, compromise organizational or customer information, contravene security implementations and thereby undermine online customer confidence. To nullify such threats, online security management must become proactive, by reviewing and continuously improving online security to strengthen the enterpriseis online security measures and policies, as modelled. The benchmarking process utilises a proposed benchmarking framework to guide both the development and application of security benchmarks created in the first instance, from recognized information technology (IT) and information security standards (ISS) and then their application to the online security measures and policies utilized within online business. Furthermore, the benchmarking framework incorporates a continuous improvement review process to address the relevance of benchmark development over time and the changes in threat focus.<br /

    Ranking with social cues: Integrating online review scores and popularity information

    Full text link
    Online marketplaces, search engines, and databases employ aggregated social information to rank their content for users. Two ranking heuristics commonly implemented to order the available options are the average review score and item popularity-that is, the number of users who have experienced an item. These rules, although easy to implement, only partly reflect actual user preferences, as people may assign values to both average scores and popularity and trade off between the two. How do people integrate these two pieces of social information when making choices? We present two experiments in which we asked participants to choose 200 times among options drawn directly from two widely used online venues: Amazon and IMDb. The only information presented to participants was the average score and the number of reviews, which served as a proxy for popularity. We found that most people are willing to settle for items with somewhat lower average scores if they are more popular. Yet, our study uncovered substantial diversity of preferences among participants, which indicates a sizable potential for personalizing ranking schemes that rely on social information.Comment: 4 pages, 3 figures, ICWS

    The Impact of Online Logistics Service Quality Review Information on Consumers\u27 Purchase Intention

    Get PDF
    This paper constructs the index dimension of online logistics service quality review information from the two aspects of e-commerce logistics service quality factors and online review information characteristic factors, builds a structural equation model of online logistics service quality reviews information on consumers\u27 purchase intention. Empirical method is used to verify and analyze the model and hypothesis. The results show that six variables of e-commerce logistics service quality, including timeliness, reliability, empathy and online review information, such as value, quality and amount, acting on consumers\u27 purchase intention, timeliness indirectly affects consumers\u27 purchase intention through the value and amount of online review information, while empathy indirectly affects consumers\u27 purchase intention through the value of online review information. On this basis, the analysis results are discussed, and relevant suggestions are put forward for logistics enterprises and online shop sellers to create a good environment for consumers online shopping
    corecore