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Adding Images to Psychometric Questionnaires to Improve User Engagement

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 11749)

Abstract

This paper presents an experiment to obtain personality traits using a psychometric questionnaire that is augmented with visual representations that support answer options. From the results, it is suggested that the use of visual media improves participants’ perception of ‘fun’ or pleasure, while answering the questionnaire; thereby creating the potential to improve user engagement in commercial applications.

Keywords

  • Personality detection
  • Psychometric questionnaires
  • User engagement

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  • DOI: 10.1007/978-3-030-29390-1_49
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Fig. 1.
Fig. 2.

Notes

  1. 1.

    http://you.visualdna.com/quiz/whoami?c=us#/quiz.

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Acknowledgements

We would like to thank Dr Aleksandar Matic for his guidance. This work has been supported by the EU’s Horizon 2020 research and innovation programme, under the Marie Sklodowska-Curie grant agreement no. 722561.

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Correspondence to Mohammed Khwaja .

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Khwaja, M., Shepherd, S. (2019). Adding Images to Psychometric Questionnaires to Improve User Engagement. In: Lamas, D., Loizides, F., Nacke, L., Petrie, H., Winckler, M., Zaphiris, P. (eds) Human-Computer Interaction – INTERACT 2019. INTERACT 2019. Lecture Notes in Computer Science(), vol 11749. Springer, Cham. https://doi.org/10.1007/978-3-030-29390-1_49

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  • DOI: https://doi.org/10.1007/978-3-030-29390-1_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29389-5

  • Online ISBN: 978-3-030-29390-1

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