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Assessment selection in human-automation interaction studies: The Failure-GAM 2 E and review of assessment methods for highly automated driving
| Content Provider | Scilit |
|---|---|
| Author | Grane, Camilla |
| Copyright Year | 2018 |
| Description | Journal: Applied ergonomics Highly automated driving will change driver's behavioural patterns. Traditional methods used for assessing manual driving will only be applicable for the parts of human-automation interaction where the driver intervenes such as in hand-over and take-over situations. Therefore, driver behaviour assessment will need to adapt to the new driving scenarios. This paper aims at simplifying the process of selecting appropriate assessment methods. Thirty-five papers were reviewed to examine potential and relevant methods. The review showed that many studies still relies on traditional driving assessment methods. A new method, the Failure-GAM 2 E model, with purpose to aid assessment selection when planning a study, is proposed and exemplified in the paper. Failure-GAM 2 E includes a systematic step-by-step procedure defining the situation, failures (Failure), goals (G), actions (A), subjective methods (M), objective methods (M) and equipment (E). The use of Failure-GAM 2 E in a study example resulted in a well-reasoned assessment plan, a new way of measuring trust through feet movements and a proposed Optimal Risk Management Model. Failure-GAM 2 E and the Optimal Risk Management Model are believed to support the planning process for research studies in the field of human-automation interaction. |
| Related Links | http://ltu.diva-portal.org/smash/get/diva2:1138141/FULLTEXT01 |
| Ending Page | 192 |
| Page Count | 11 |
| Starting Page | 182 |
| ISSN | 00036870 |
| e-ISSN | 18729126 |
| DOI | 10.1016/j.apergo.2017.08.010 |
| Journal | Applied ergonomics |
| Volume Number | 66 |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2018-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Applied ergonomics Human-automation Interaction Highly Automated Driving Assessment Methods |
| Content Type | Text |
| Resource Type | Article |
| Subject | Human Factors and Ergonomics Physical Therapy, Sports Therapy and Rehabilitation Safety, Risk, Reliability and Quality |
