Title
Detecting system failures from durations and binary cues
Abstract
Durations are often used to judge the status of an invisible process. However, the apparent duration of an interval depends on the actual duration and on other variables, such as the workload during the interval and the person's expectations. An experiment dealt with the use of durations as an information source on the state of an invisible process and the effects of expectations and workload on decisions regarding the process. Eighty-nine participants observed a computerized simulation of a process which could be either intact or faulty, with intact processes ending on average sooner than faulty ones, and they had to indicate whether or not the process is intact and to estimate its duration. A binary cue with either intermediate or no validity indicated whether the process was supposedly intact or not, generating expectations about the duration of the process. Perceived durations and the decisions about the intactness of a process depended on the actual process duration, as well as on the expectations generated by the binary cue. In addition, task workload affected time estimates, but it had no effect on participants' tendency to adhere to cue recommendations or their ability to distinguish between intact and faulty processes. Results show that users' duration-based decisions about the status of a computerized process are affected by internal and external cues. While users can use durations as an information source, they should, whenever possible, be accompanied by additional indicators, lowering the inherent uncertainty in the duration estimation process.
Year
DOI
Venue
2012
10.1016/j.ijhcs.2012.03.001
Int. J. Hum.-Comput. Stud.
Keywords
Field
DocType
Failure detection,Signal detection theory,Time estimation,Apparent duration,Categorization decisions,Decision making
Process duration,Detection theory,Workload,Computer science,Actual Duration,Cognitive psychology,Real-time computing,Human–computer interaction,Binary number
Journal
Volume
Issue
ISSN
70
8
1071-5819
Citations 
PageRank 
References 
1
0.35
8
Authors
4
Name
Order
Citations
PageRank
Nir Shahar110.35
Joachim Meyer237641.28
Michael Hildebrandt3296.35
Vered Rafaely410.35