A taxonomy of number entry error

TY - GEN

T1 - A taxonomy of number entry error

AU - Wiseman, Sarah

AU - Cairns, Paul

AU - Cox, Anna

PY - 2011

Y1 - 2011

N2 - People are prone to errors in many aspects of life, including when entering numbers. The effects of these errors can be disastrous, for example when an incorrect number is entered when programming a medical infusion pump or when entering financial information into a system. Designing better systems may help to prevent these errors however, in order to do this we need to understand far more about the types of errors being made, and their causes. Unfortunately, there are very few documented examples of number entry errors and thus many of the studies conducted so far rely upon modelled, not real world data. This paper reports a study that was designed to elicit number entry errors and the subsequent process of creating a taxonomy of errors from the information gathered. A total of 345 errors were gathered. A method for classifying the errors using 13 codes is proposed - this is a significantly higher figure than previously suggested, showing that currently we underestimate the true variety of such errors. These codes are then organised into a taxonomy similar to that of Zhang et al (2004). We show how this taxonomy can be used to guide future research into number entry errors by suggesting experimental conditions needed to provoke certain errors. The taxonomy may also be used during the initial stages of design to help the designer understand the categories of errors that users are most likely to make and thus design accordingly.

AB - People are prone to errors in many aspects of life, including when entering numbers. The effects of these errors can be disastrous, for example when an incorrect number is entered when programming a medical infusion pump or when entering financial information into a system. Designing better systems may help to prevent these errors however, in order to do this we need to understand far more about the types of errors being made, and their causes. Unfortunately, there are very few documented examples of number entry errors and thus many of the studies conducted so far rely upon modelled, not real world data. This paper reports a study that was designed to elicit number entry errors and the subsequent process of creating a taxonomy of errors from the information gathered. A total of 345 errors were gathered. A method for classifying the errors using 13 codes is proposed - this is a significantly higher figure than previously suggested, showing that currently we underestimate the true variety of such errors. These codes are then organised into a taxonomy similar to that of Zhang et al (2004). We show how this taxonomy can be used to guide future research into number entry errors by suggesting experimental conditions needed to provoke certain errors. The taxonomy may also be used during the initial stages of design to help the designer understand the categories of errors that users are most likely to make and thus design accordingly.

KW - Human error

KW - Number entry

KW - Taxonomy of error

UR - http://www.scopus.com/inward/record.url?scp=84907395371&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84907395371

SP - 187

EP - 196

BT - Proceedings of HCI 2011 - 25th BCS Conference on Human Computer Interaction

PB - British Computer Society (BCS)

T2 - 25th BCS onference on Human Computer Interaction, HCI 2011

Y2 - 4 July 2011 through 8 July 2011

ER -