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• W4387316162 abstract "Evaluations of digital library information systems are typically centred on users correctly, efficiently, and quickly performing predefined tasks. Additionally, users generally enjoy working with the evaluated system, and completed questionnaires show an interface's excellent user experience. However, such evaluations do not explicitly consider comparing or connecting user-specific information-seeking behaviour with digital library system capabilities and thus overlook actual user needs or further system requirements. We aim to close this gap by introducing the usage of formalisations of users' task conduction strategies to compare their information needs with the capabilities of such information systems. We observe users' strategies in scope of expert finding and paper search. We propose and investigate using the business process model notation to formalise task conduction strategies and the SchenQL digital library interface as an example system. We conduct interviews in a qualitative evaluation with 13 participants from various backgrounds from which we derive models. We discovered that the formalisations are suitable and helpful to mirror the strategies back to users and to compare users' ideal task conductions with capabilities of information systems. We conclude using formal models for qualitative digital library studies being a suitable mean to identify current limitations and depict users' task conduction strategies. Our published dataset containing the evaluation data can be reused to investigate other digital library systems' fit for depicting users' ideal task solutions." @default.
• W4387316162 created "2023-10-04" @default.
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• W4387316162 date "2023-06-01" @default.
• W4387316162 modified "2023-10-06" @default.
• W4387316162 title "Evaluating Digital Library Search Systems by Using Formal Process Modelling" @default.
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• W4387316162 doi "https://doi.org/10.1109/jcdl57899.2023.00058" @default.
• W4387316162 hasPublicationYear "2023" @default.
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