Increasing accuracy by decreasing presentation quality in transcription tasks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Increasing accuracy by decreasing presentation quality in transcription tasks. / Soboczenski, Frank; Cairns, Paul; Cox, Anna L.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8118 LNCS PART 2. ed. 2013. p. 380-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8118 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Soboczenski, F, Cairns, P & Cox, AL 2013, Increasing accuracy by decreasing presentation quality in transcription tasks. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 8118 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8118 LNCS, pp. 380-394, 14th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2013, Cape Town, South Africa, 2/09/13. https://doi.org/10.1007/978-3-642-40480-1_25

APA

Soboczenski, F., Cairns, P., & Cox, A. L. (2013). Increasing accuracy by decreasing presentation quality in transcription tasks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 8118 LNCS, pp. 380-394). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8118 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-40480-1_25

Vancouver

Soboczenski F, Cairns P, Cox AL. Increasing accuracy by decreasing presentation quality in transcription tasks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 8118 LNCS. 2013. p. 380-394. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-40480-1_25

Author

Soboczenski, Frank ; Cairns, Paul ; Cox, Anna L. / Increasing accuracy by decreasing presentation quality in transcription tasks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8118 LNCS PART 2. ed. 2013. pp. 380-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

Bibtex - Download

@inproceedings{95c4f374028d45ada1db40f1d7464ab6,
title = "Increasing accuracy by decreasing presentation quality in transcription tasks",
abstract = "Many tasks with interfaces require entering data accurately, for example, entering patient data in an electronic records system or programming infusion pumps. However, human error is inevitable. Paradoxically, results from cognitive psychology suggest that representing information in a poorer quality format increases the likelihood of memorising the information accurately. This is explained by the dual system account of cognition where slower, more effortful but more accurate thinking is invoked via the poorer quality representation. We present two studies where we transfer these results to the domain of data- entry and show that poorer quality format of to-be-copied information leads to increased accuracy in transcription tasks. Moreover, this is not a consequence of the typical speed-accuracy tradeoffs. The results of our novel approach have implications for the design of data-entry tasks in domains such as healthcare.",
keywords = "cognition, data-entry, Human error, infusion pump, number-entry, perception, presentation quality, safety-critical systems",
author = "Frank Soboczenski and Paul Cairns and Cox, {Anna L.}",
year = "2013",
doi = "10.1007/978-3-642-40480-1_25",
language = "English",
isbn = "9783642404795",
volume = "8118 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "380--394",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
edition = "PART 2",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Increasing accuracy by decreasing presentation quality in transcription tasks

AU - Soboczenski, Frank

AU - Cairns, Paul

AU - Cox, Anna L.

PY - 2013

Y1 - 2013

N2 - Many tasks with interfaces require entering data accurately, for example, entering patient data in an electronic records system or programming infusion pumps. However, human error is inevitable. Paradoxically, results from cognitive psychology suggest that representing information in a poorer quality format increases the likelihood of memorising the information accurately. This is explained by the dual system account of cognition where slower, more effortful but more accurate thinking is invoked via the poorer quality representation. We present two studies where we transfer these results to the domain of data- entry and show that poorer quality format of to-be-copied information leads to increased accuracy in transcription tasks. Moreover, this is not a consequence of the typical speed-accuracy tradeoffs. The results of our novel approach have implications for the design of data-entry tasks in domains such as healthcare.

AB - Many tasks with interfaces require entering data accurately, for example, entering patient data in an electronic records system or programming infusion pumps. However, human error is inevitable. Paradoxically, results from cognitive psychology suggest that representing information in a poorer quality format increases the likelihood of memorising the information accurately. This is explained by the dual system account of cognition where slower, more effortful but more accurate thinking is invoked via the poorer quality representation. We present two studies where we transfer these results to the domain of data- entry and show that poorer quality format of to-be-copied information leads to increased accuracy in transcription tasks. Moreover, this is not a consequence of the typical speed-accuracy tradeoffs. The results of our novel approach have implications for the design of data-entry tasks in domains such as healthcare.

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KW - data-entry

KW - Human error

KW - infusion pump

KW - number-entry

KW - perception

KW - presentation quality

KW - safety-critical systems

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U2 - 10.1007/978-3-642-40480-1_25

DO - 10.1007/978-3-642-40480-1_25

M3 - Conference contribution

SN - 9783642404795

VL - 8118 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -