Lengauer, StefanBedek, Michael A.Kupfer, CordulaShao, LinAlbert, DietrichSchreck, TobiasPelechano, NuriaLiarokapis, FotisRohmer, DamienAsadipour, Ali2023-10-022023-10-022023978-3-03868-233-2https://doi.org/10.2312/imet.20231251https://diglib.eg.org:443/handle/10.2312/imet20231251Consumer 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.Attribution 4.0 International LicenseCCS Concepts: Information systems -> Personalization; Human-centered computing -> Interactive systems and tools; Systems and tools for interaction design; Applied computing -> Health care information systemsInformation systemsPersonalizationHuman centered computingInteractive systems and toolsSystems and tools for interaction designApplied computingHealth care information systemsRecognizing User Behavior from Interactions for Adaptive Consumer Information Systems10.2312/imet.2023125123-264 pages