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The results showed that eye movements are strongly situation-dependent, with areas of interest (windshield, mirrors, and dashboard) attracting attention when events (e.g., passing vehicles) occurred in those areas. Furthermore, the task instructions provided to participants (i.e., speed monitoring or hazard monitoring) affected their attention distribution in an interpretable manner. It is concluded that eye movements while supervising an automated vehicle are strongly \u2018top-down\u2019, i.e., based on an expected value. The results are discussed in the context of the development of driver availability monitoring systems.<\/jats:p>","DOI":"10.3390\/info13070333","type":"journal-article","created":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T21:57:53Z","timestamp":1657576673000},"page":"333","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["What Attracts the Driver\u2019s Eye? 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