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A Pattern to Predict the Occurrence of Moment of Information Overload During Online Information Searching

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User Science and Engineering (i-USEr 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 886))

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Abstract

Scholars have identified that individuals are confronted with information overload while searching for the information in the virtual library. They sometimes do not realize that they are overloaded until the symptoms appear. Moreover, previous literature claimed that information overload will also lead to the changes in physiological signal of an individual which later results in decreased efficiency of information processing. Several scholars have analyzed this phenomenon and investigated its causes, symptoms, effects and countermeasures of information overload but there are lacking of empirical data to detect moment of information overload as moment can be represented as a point that happens along the chronological continuum at which certain effects occur. Therefore, the primary purpose of this research is to detect the existence and the occurrence of moment of information overload among individuals during searching in virtual library, focusing on the pattern reflected in the physiological data that can potentially be used as indicator of moment of information overload. This study adopts user testing methods and methods from psychophysiology. Collected empirical data were analyzed using quantitative analysis and were presented using graphs and tables. Study findings revealed that heart rate measurement is the best measure compared to other physiological measurement and the underlying pattern of moment of information overload is presented in a form of matrix. From the study findings, the recommendation of the future work was made which outlined that the detected pattern can be used to design an application which monitors the information load among the individuals.

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Acknowledgement

The authors would like to thank Universiti Teknologi MARA (UiTM), Malaysia for partly funding the study by given the BESTARI PERDANA grant (600-IRMI/DANA 5/3/BESTARI (P) (091/2018)). The authors would also like to thank USE Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, Shah Alam and all the respondents who had contributed to this study.

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Authors and Affiliations

  1. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia

    Natrah Abdullah & Nur Amirah Mustapar

Authors
  1. Natrah Abdullah
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  2. Nur Amirah Mustapar
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Corresponding authors

Correspondence to Natrah Abdullah or Nur Amirah Mustapar .

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Editors and Affiliations

  1. Universiti Teknologi MARA, Shah Alam, Malaysia

    Natrah Abdullah

  2. Universiti Teknologi MARA, Shah Alam, Malaysia

    Wan Adilah Wan Adnan

  3. Queensland University of Technology, Brisbane, Queensland, Australia

    Marcus Foth

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Abdullah, N., Mustapar, N.A. (2018). A Pattern to Predict the Occurrence of Moment of Information Overload During Online Information Searching. In: Abdullah, N., Wan Adnan, W., Foth, M. (eds) User Science and Engineering. i-USEr 2018. Communications in Computer and Information Science, vol 886. Springer, Singapore. https://doi.org/10.1007/978-981-13-1628-9_23

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  • DOI: https://doi.org/10.1007/978-981-13-1628-9_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1627-2

  • Online ISBN: 978-981-13-1628-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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