Frequency and Duration of Self-Initiated Task-Switching in an Online Investigation of Interrupted Performance

Authors

  • Sandy Gould University College London
  • Anna Cox University College London
  • Duncan Brumby University College London

DOI:

https://doi.org/10.1609/hcomp.v1i1.13095

Keywords:

Experiment, Online, Interruptions, Multitasking

Abstract

Online experimentation has been shown to be a reliable method for collecting data quickly and easily. Nevertheless, this method of data collection can affect some researchers’ confidence in results because of the loss of experimental control that comes with moving experiments online. To relieve these concerns, researchers have developed a number of tools and techniques for evaluating the performance of online participants and crowdworkers. In this paper we investigate a measure of participants’ attentiveness during an online data-entry experiment. We explored online participants’ propensity to switch away from the experiment to other tasks, and the duration of time that they spent away from the experiment during each switch. Our results show that switching is prevalent, even when participants are asked not to switch to other tasks.

Downloads

Published

2013-11-03

How to Cite

Gould, S., Cox, A., & Brumby, D. (2013). Frequency and Duration of Self-Initiated Task-Switching in an Online Investigation of Interrupted Performance. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1(1), 22-23. https://doi.org/10.1609/hcomp.v1i1.13095