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Complementing text entry evaluations with a composition task

Published:01 February 2014Publication History
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Abstract

A common methodology for evaluating text entry methods is to ask participants to transcribe a predefined set of memorable sentences or phrases. In this article, we explore if we can complement the conventional transcription task with a more externally valid composition task. In a series of large-scale crowdsourced experiments, we found that participants could consistently and rapidly invent high quality and creative compositions with only modest reductions in entry rates. Based on our series of experiments, we provide a best-practice procedure for using composition tasks in text entry evaluations. This includes a judging protocol which can be performed either by the experimenters or by crowdsourced workers on a microtask market. We evaluated our composition task procedure using a text entry method unfamiliar to participants. Our empirical results show that the composition task can serve as a valid complementary text entry evaluation method.

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    • Published in

      cover image ACM Transactions on Computer-Human Interaction
      ACM Transactions on Computer-Human Interaction  Volume 21, Issue 2
      February 2014
      203 pages
      ISSN:1073-0516
      EISSN:1557-7325
      DOI:10.1145/2592268
      Issue’s Table of Contents

      Copyright © 2014 ACM

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      New York, NY, United States

      Publication History

      • Published: 1 February 2014
      • Accepted: 1 December 2013
      • Revised: 1 November 2013
      • Received: 1 June 2013
      Published in tochi Volume 21, Issue 2

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