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Speed-Accuracy Tradeoff: A Formal Information-Theoretic Transmission Scheme (FITTS)

Published:24 September 2018Publication History
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Abstract

The rationale for Fitts’ law is that pointing tasks have the information-theoretic analogy of sending a signal over a noisy channel, thereby matching Shannon’s capacity formula. Yet, the currently received analysis is incomplete and unsatisfactory: There is no explicit communication model for pointing; there is a confusion between central concepts of capacity (a mathematical limit), throughput (an average performance measure), and bandwidth (a physical quantity); and there is also a confusion between source and channel coding so that Shannon’s Theorem 17 can be misinterpreted. We develop an information-theoretic model for pointing tasks where the index of difficulty (ID) is the expression of both a source entropy and a zero-error channel capacity. Then, we extend the model to include misses at rate ε and prove that ID should be adjusted to (1−ε)ID. Finally, we reflect on Shannon’s channel coding theorem and argue that only minimum movement times, not performance averages, should be considered.

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    • Published in

      cover image ACM Transactions on Computer-Human Interaction
      ACM Transactions on Computer-Human Interaction  Volume 25, Issue 5
      October 2018
      171 pages
      ISSN:1073-0516
      EISSN:1557-7325
      DOI:10.1145/3281299
      Issue’s Table of Contents

      Copyright © 2018 ACM

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      Publication History

      • Published: 24 September 2018
      • Accepted: 1 June 2018
      • Revised: 1 February 2018
      • Received: 1 June 2017
      Published in tochi Volume 25, Issue 5

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