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Does Emotion Modulation Influence Speed–Accuracy Trade-off in Numerical Data Entry Task?

  • Shanu Shukla
  • Shrikant Salve
  • Pradeep Yammiyavar
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 135)

Abstract

It has been demonstrated that speed-accuracy trade-off (SAT) plays an important part in choice and decision analysis, but how emotion influences SAT is yet to be understood. SAT refers to the inverse relationship between speed and accuracy. It implies individual’s willingness to increase either speed or accuracy; if one chooses to increase speed then accuracy often decreases, and if one increases accuracy then speed of the task decreases. The study investigates the effect of participant’s emotion on SAT in numerical data entry task. The influence of induced emotion on SAT among the people (N = 48) familiar with number entry task has been studied experimentally through computerized data entry task. Positive, negative, and neutral emotions are induced through video clips and accordingly, their subjective emotional states are recorded through self-assessment Manikin (SAM) scale. Afterward, their performance is assessed on a computerized number entry task. The results suggest that there is no significantly observed difference in the trade-off performance between the participant groups with positive and neutral emotions. However, participants induced with negative emotion display reverse SAT effect, which implies a decrease in accuracy with a decrease in speed in numerical data entry task performance. These findings have significant implications in users-centered design research.

Keywords

Negative emotion Numerical data entry task Positive emotion Speed–Accuracy Trade-off 

Notes

Acknowledgements

Authors thank Usability Engineering and Human Computer Interaction Laboratory at Indian Institute of Technology, Guwahati, and Human Factors and Applied Cognition Laboratory at Indian Institute of Technology, Indore, for all the technical and experimental support during the execution of this project.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Shanu Shukla
    • 1
  • Shrikant Salve
    • 2
    • 3
  • Pradeep Yammiyavar
    • 3
  1. 1.Indian Institute of Technology IndoreIndoreIndia
  2. 2.MIT Academy of EngineeringPuneIndia
  3. 3.Indian Institute of Technology GuwahatiGuwahatiIndia

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