Browsing by Subject "end-users"

Now showing 1 - 2 of 2
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    Assessing the Value of Transparency in Recommender Systems: An End-User Perspective
    (ACM, 2018-10) Vorm, Eric S.; Miller, Andrew D.; Human-Centered Computing, School of Informatics and Computing
    Recommender systems, especially those built on machine learning, are increasing in popularity, as well as complexity and scope. Systems that cannot explain their reasoning to end-users risk losing trust with users and failing to achieve acceptance. Users demand interfaces that afford them insights into internal workings, allowing them to build appropriate mental models and calibrated trust. Building interfaces that provide this level of transparency, however, is a significant design challenge, with many design features that compete, and little empirical research to guide implementation. We investigated how end-users of recommender systems value different categories of information to help in determining what to do with computer-generated recommendations in contexts involving high risk to themselves or others. Findings will inform future design of decision support in high-criticality contexts.
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    REAL-TIME MONITORING AND ANALYSIS OF DISTRIBUTED SOFTWARE SYSTEMS VIA THE WEB
    (Office of the Vice Chancellor for Research, 2012-04-13) Puranik, Darshan G.; Hill, James H.
    Web 2.0 and HTML5 is revolutionizing the way end-users interact with web pages and web sites via the World Wide Web. Instead of interacting with static web pages that require end-users to transparently surf between pages and achieve some variation of dynamic behavior related to new con-tent, end-users now remain on the same page while new content is streamed from the web server. This advancement in technology is now bringing real-time capabilities to the web. Current state-of-the-art frameworks built atop Web 2.0 and HTML5 that enable real-time capabilities via the web is called Asynchronous JavaScript and XML (AJAX). AJAX operates by contacting the web server in the back-ground (i.e., without causing the browser to surf to a new page) and execut-ing an infinite loop that continuously streams content, such as new instant messages and images, back to the client browser. Although AJAX enables real-time streaming of content, it is resource intensive on the server-side. An emerging technology called WebSockets has the potential to address many of the shortcomings of AJAX, such as resource intensity. It, however, is unknown how much WebSockets improves upon AJAX. This research therefore compares the performance of AJAX and WebSockets. We perform this comparison by implementing a real-time dashboard for the Open-Source Architecture for Software Instrumentation of Systems (OASIS), which is an open-source framework for supporting real-time instrumentation of distributed software systems.