An error tolerant memory aid for reduced cognitive load in number copying tasks

Authors:
Frode Eika Sandnes
Affiliations:
Institute of Information Technology, Faculty of Technology, Art and Design, Oslo and Akershus University, College of Applied Sciences, Norway
Venue:
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
Year:
2013

Citing 12
Cited 0

On the Recognition of Printed Characters of Any Font and Size

IEEE Transactions on Pattern Analysis and Machine Intelligence
Error detecting decimal digits

Communications of the ACM
Techniques for automatically correcting words in text

ACM Computing Surveys (CSUR)
Calculators are needlessly bad

International Journal of Human-Computer Studies
A guided tour to approximate string matching

ACM Computing Surveys (CSUR)
Comparison of two touchpad-based methods for numeric entry

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A mathematical theory of communication

ACM SIGMOBILE Mobile Computing and Communications Review
The $100,000 Keying Error

Computer
Number entry interfaces and their effects on error detection

INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
A taxonomy of number entry error

BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction
Differential formal analysis: evaluating safer 5-key number entry user interface designs

Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
Towards safer number entry in interactive medical systems

Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Number copying tasks are still common despite increased digitalization of services. Number copying tasks are cognitively and visually demanding, errors are easily introduced and the process is often perceived as laborious. This study proposes an alternative scheme based on dictionary coding that reduces the cognitive load on the user by a factor of five. The strategy has several levels of error detection and error correction characteristics and is easy to implement.