Recognizing User Behavior from Interactions for Adaptive Consumer Information Systems

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dc.contributor.authorLengauer, Stefanen_US
dc.contributor.authorBedek, Michael A.en_US
dc.contributor.authorKupfer, Cordulaen_US
dc.contributor.authorShao, Linen_US
dc.contributor.authorAlbert, Dietrichen_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.editorPelechano, Nuriaen_US
dc.contributor.editorLiarokapis, Fotisen_US
dc.contributor.editorRohmer, Damienen_US
dc.contributor.editorAsadipour, Alien_US
dc.date.accessioned2023-10-02T08:17:22Z
dc.date.available2023-10-02T08:17:22Z
dc.date.issued2023
dc.description.abstractConsumer Information Systems, which experience widespread application, benefit substantially from adapting the conveyed information to specific user needs, by addressing various impairments such as color blindness, deficient preknowledge, and/or graph illiteracy. Ideally, to allow for an unperturbed exploration process, the system automatically recognizes and responds to the need for adaptation. While it has been shown that users' interactions with a system can be leveraged to this end, there exists no generalized taxonomy covering all possible interactions/processes and how they relate to each other. This paper garners different interactions, defined in the literature, and classifies them regarding complexity and inter-dependencies in a 'processes landscape'. Using this landscape, we outline a concept how low-level interactions (e.g., 'Clicking', 'Typing') can be combined with context-sensitive ones (e.g., 'Hovering') to estimate high-level behavior such as 'Reading' or 'Exploring'. Knowledge of the latter allows a system to intervene and adapt in a reasonably manner.en_US
dc.description.sectionheadersApplication in Helping and Improving User Experience
dc.description.seriesinformationInternational Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET)
dc.identifier.doi10.2312/imet.20231251
dc.identifier.isbn978-3-03868-233-2
dc.identifier.pages23-26
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/imet.20231251
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/imet20231251
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Information systems -> Personalization; Human-centered computing -> Interactive systems and tools; Systems and tools for interaction design; Applied computing -> Health care information systems
dc.subjectInformation systems
dc.subjectPersonalization
dc.subjectHuman centered computing
dc.subjectInteractive systems and tools
dc.subjectSystems and tools for interaction design
dc.subjectApplied computing
dc.subjectHealth care information systems
dc.titleRecognizing User Behavior from Interactions for Adaptive Consumer Information Systemsen_US
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IMET 2023: International Conference on Interactive Media, Smart Systems and Emerging Technologies