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Showing 1 to 6 of 6 for “"Interaction Mining"”.

  1. Democratizing interaction mining

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms

    uiuc Repository record for Democratizing interaction mining (opens in a new tab)

  2. Interaction mining mobile apps

    … app design process? This dissertation introduces interaction mining, a technique to capture the designs of mobile apps in a way that supports data-driven design applications. It presents systems that implement interaction mining for Android apps without requiring any access to their source code …

    uiuc Repository record for Interaction mining mobile apps (opens in a new tab)

  3. Mobile design semantics

    … approaches to mine mobile app design and interaction data. Although the data captured during interaction mining is descriptive, it does not expose the design semantics of UIs: what elements on the screen mean and how they are used. This thesis introduces an automatic approach for …

    uiuc Repository record for Mobile design semantics (opens in a new tab)

  4. Curation and privacy in mobile application UI repositories

    Mobile interaction mining allows everyday interaction data to be mined for insights into the best performing design patterns, usability problems, and overall design trends. So far, this data has primarily come from automated application exploration or crowdworkers completing smartphone tasks as …

    uiuc Repository record for Curation and privacy in mobile application UI repositories (opens in a new tab)

  5. Exploring user data privacy interfaces for mobile UIS

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01

    uiuc Repository record for Exploring user data privacy interfaces for mobile UIS (opens in a new tab)

  6. Automatically extracting interaction and app data from mobile application traces

    … we used an existing system to collect mobile interaction traces and extract meaningful information in terms of interaction data, apps, and layout information and complexity of mobile apps. The preeminent driving force for this research was to come up with a system that is scalable and can be …

    uiuc Repository record for Automatically extracting interaction and app data from mobile application traces (opens in a new tab)