TY - GEN
T1 - Cognitive task analysis for interface designs to assist medical engineers in hemodialysis machine troubleshooting
AU - Maeda, Yoshitaka
AU - Suzuki, Satoshi
AU - Komatsubara, Akinori
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - With the aim of designing an interface that supports troubleshooting of a dialysis machine, a medical-engineer (ME) cognitive task analysis was conducted in this study, with the error messages currently provided by a hemodialysis machine also being analyzed and evaluated. First, we developed the “error-message mechanism diagram” for the given problem, indicating the relationship between the error message and the notifying conditions of this message (corresponding to the candidate for the cause of the problem). Next, we developed the “cognitive task flow diagram,” which shows the cause candidates generated by the ME until the source of the problem was detected. This diagram also clarifies the manner in which the ME verifies the cause candidates and the information or knowledge employed by the ME. Then, for the given problem, we compared the cognitive task flow diagram of an ME who successfully detected the problem cause and corresponding error-message mechanism diagram to evaluate the efficacy of the error messages currently provided by the device.
AB - With the aim of designing an interface that supports troubleshooting of a dialysis machine, a medical-engineer (ME) cognitive task analysis was conducted in this study, with the error messages currently provided by a hemodialysis machine also being analyzed and evaluated. First, we developed the “error-message mechanism diagram” for the given problem, indicating the relationship between the error message and the notifying conditions of this message (corresponding to the candidate for the cause of the problem). Next, we developed the “cognitive task flow diagram,” which shows the cause candidates generated by the ME until the source of the problem was detected. This diagram also clarifies the manner in which the ME verifies the cause candidates and the information or knowledge employed by the ME. Then, for the given problem, we compared the cognitive task flow diagram of an ME who successfully detected the problem cause and corresponding error-message mechanism diagram to evaluate the efficacy of the error messages currently provided by the device.
KW - Cognitive task analysis
KW - Medical equipment and hemodialysis
KW - Troubleshooting
UR - http://www.scopus.com/inward/record.url?scp=85025132465&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025132465&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-58475-1_8
DO - 10.1007/978-3-319-58475-1_8
M3 - Conference contribution
AN - SCOPUS:85025132465
SN - 9783319584744
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 101
EP - 114
BT - Engineering Psychology and Cognitive Ergonomics
A2 - Harris, Don
PB - Springer Verlag
T2 - 14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017
Y2 - 9 July 2017 through 14 July 2017
ER -