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Preferences in Recall of Pleasant and Unpleasant Images

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Research into Design for Communities, Volume 2 (ICoRD 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 66))

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Abstract

The role of emotional state on memory has been well established. How emotion provoking stimuli influence the cognitive processes is, however, not well understood. Our broad objective was to see the impact of emotion provoking visual stimulus on memory. Sixty images were generated using Indian version of the Geneva Affective Picture Database (GAPED). Four categories of images (child, adult, animal and landscape) were either pleasant or unpleasant in nature. These images were shown to thirty participants following a repeated measure design. Immediate free recall of the images was recorded to see the effect of type of image on recall. Bayesian inference was used to analyze the data. Results show evidence for effect of type of image on recall by 120:1 against the null. The model of image category was also preferred to the null by 35:1.

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Authors and Affiliations

  1. Design Programme, Indian Institute of Technology Kanpur, Kanpur, India

    Mritunjay Kumar

  2. Department of Electrical and Electronics Engineering, University of Melbourne, Melbourne, Australia

    Rajesh Ranjan

  3. Psychology Discipline, Department of HSS, Indian Institute of Technology Kanpur, Kanpur, India

    Braj Bhushan & Ahmed Sameer

Authors
  1. Mritunjay Kumar
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  2. Rajesh Ranjan
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  3. Braj Bhushan
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  4. Ahmed Sameer
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Corresponding author

Correspondence to Mritunjay Kumar .

Editor information

Editors and Affiliations

  1. Centre for Product Design and Manufacturing, Indian Institute of Science Bangalore, Bangalore, India

    Amaresh Chakrabarti

  2. Department of Design, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Debkumar Chakrabarti

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Kumar, M., Ranjan, R., Bhushan, B., Sameer, A. (2017). Preferences in Recall of Pleasant and Unpleasant Images. In: Chakrabarti, A., Chakrabarti, D. (eds) Research into Design for Communities, Volume 2. ICoRD 2017. Smart Innovation, Systems and Technologies, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-10-3521-0_59

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  • DOI: https://doi.org/10.1007/978-981-10-3521-0_59

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3520-3

  • Online ISBN: 978-981-10-3521-0

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