Description
The successful design of decision support systems (DSS) depends on an alignment between the expectations of users and those of the system (i.e., a cognitive compatibility). The potential for error increases when there is a lack of transparency at the human-machine interface, where either human or machine do not understand the intentions or strategies employed by the other. Such cases have been implicated in system failures in safety-critical environments. The risk of such failures is anticipated to increase in coming years, as DSS become more reliant on artificial intelligence techniques, which are largely opaque to human users. We investigated the degree of cognitive compatibility experienced by DSS users from several roles. Seven interviews based on the Critical Decision Method were conducted to elicit accounts of DSS interaction. Several themes were identified, which allude to potential barriers to cognitive compatibility between users and DSS. Recommendations for safer system design are discussed.| Period | 17 Nov 2021 |
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| Event title | National Work Health and Safety Colloquium: Back to the Future: How Research is Using Innovation to Combat Old Problems |
| Event type | Conference |
| Location | Sydney, Australia, New South WalesShow on map |