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Errordiary: Support for Teaching Human Error

Wiseman, S; Gould, S; Furniss, DJ; Cox, A; (2012) Errordiary: Support for Teaching Human Error. Presented at: CHI 2012: the 30th ACM Conference on Human Factors in Computing Systems: Workshop: A Contextualised Curriculum for HCI, Austin, Texas. Green open access

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Abstract

Understanding human error is an important part of making good choices about interaction design. In this paper we report an innovative approach to the teaching of human error. Errordiary is an online repository of the funny, frustrating and sometimes fatal human errors that happen on a daily basis. Students engage with these real-life cases of human error and are challenged to classify them. This raises awareness of everyday human error, teaches students about the psychology of human error, and gives students the experience of dealing with the difficulties of applying classification schemes to real world data.

Type: Conference item (Presentation)
Title: Errordiary: Support for Teaching Human Error
Event: CHI 2012: the 30th ACM Conference on Human Factors in Computing Systems: Workshop: A Contextualised Curriculum for HCI
Location: Austin, Texas
Dates: 2012-05-05 - 2012-05-10
Open access status: An open access version is available from UCL Discovery
Publisher version: http://chi2012.acm.org/
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1347254
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