Baran: an interaction-centred user monitoring framework

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Hashemi, Mohammad
Herbert, John
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SCITEPRESS - Science and Technology Publications, Lda
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User Quality of Experience (QoE) is a subjective entity and difficult to measure. One important aspect of it, User Experience (UX), corresponds to the sensory and emotional state of a user. For a user interacting through a User Interface (UI), precise information on how they are using the UI can contribute to understanding their UX, and thereby understanding their QoE. As well as a user’s use of the UI such as clicking, scrolling, touching, or selecting, other real-time digital information about the user such as from smart phone sensors (e.g. accelerometer, light level) and physiological sensors (e.g. heart rate, ECG, EEG) could contribute to understanding UX. Baran is a framework that is designed to capture, record, manage and analyse the User Digital Imprint (UDI) which, is the data structure containing all user context information. Baran simplifies the process of collecting experimental information in Human and Computer Interaction (HCI) studies, by recording comprehensive real-time data for any UI experiment, and making the data available as a standard UDI data structure. This paper presents an overview of the Baran framework, and provides an example of its use to record user interaction and perform some basic analysis of the interaction.
User modelling , User profiling , Quality of experience , User experience , Human and computer interaction
Hashemi, M. and Herbert, J. (2015) ‘Baran: an interaction-centred user monitoring framework’, Proceedings of the 2nd International Conference on Physiological Computing Systems, ESEO, Angers, Loire Valley, France, 11-13 February 2015. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, Lda, pp. 52-60.
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