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An Adaptive User Interface Based on Psychological Test and Task-Relevance

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Computational Neuroscience (LAWCN 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 720))

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Abstract

The current advances into Human-Computer Interaction (HCI) are accompanied by the quick growth of Machine Learning (ML) and Artificial Intelligence (AI). It opens countless possibilities to enhance the interaction and communication between the machines and humans. Nevertheless, the human does not process the information at same way of computers (step-by-step); thus, the interfaces must be adequate to human’s capabilities and limitations. The Graphical User Interfaces (GUIs) are the most used way to provide information to the user because the visual information is a straightforward and natural method to interact with the human. A new step forward is integrated some intelligent behavior for adapting the GUIs to the context, user’s necessities and personalization; hence, the Adaptive User Interfaces (AUIs) are a new proposal which integrates intelligent and adaptive capabilities to achieve an enhanced human-computer interface. In this paper, an AUI is proposed based on psychological tests, which are used to assess the cognitive load that interface produces to the user so to know how much information must be shown and thus the user does not undergo overloading. These cognitive data is joined with a relevance weight, which represents what information is necessary to show in a given situation (Task-Relevance), in order to give to the user the most important data with the less cognitive load. The paper’s aim is to show how psychological tests can be used as input information for an adaptive interface; in that sense, each them are explained and a possible user case is shown.

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Acknowledgement

Jaime A. Riascos is supported by a master degree studentship from FAURGS/Petrobras, research project 8147-7. The first author would like to thanks to Prof. Dr. Lewis Chuang for hosting him in his Lab and provide him a theoretical discussion about the subject of this paper. That internship was done by funding provided by the SFB TRR-161 (Work package C03).

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Authors and Affiliations

  1. Institute of Informatics, Federal University Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil

    Jaime A. Riascos, Luciana P. Nedel & Dante C. Barone

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  1. Jaime A. Riascos
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  2. Luciana P. Nedel
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  3. Dante C. Barone
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Correspondence to Jaime A. Riascos .

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Editors and Affiliations

  1. Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Dante Augusto Couto Barone

  2. Federal Institute of Education, Science and Technology of Bahia, Camacari, Brazil

    Eduardo Oliveira Teles

  3. Federal Institute of Education, Science and Technology Farroupilha, Santa Maria, Brazil

    Christian Puhlmann Brackmann

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Riascos, J.A., Nedel, L.P., Barone, D.C. (2017). An Adaptive User Interface Based on Psychological Test and Task-Relevance. In: Barone, D., Teles, E., Brackmann, C. (eds) Computational Neuroscience. LAWCN 2017. Communications in Computer and Information Science, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-71011-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-71011-2_12

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