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This view is problematic, because what a human needs to know for optimal team performance varies given the dynamic environmental conditions, task context, and roles and capabilities of team members. We explore this topic by interviewing 16 participants with active and repeated experience in diverse human\u2013robot teaming applications. Based on analysis of these interviews, we derive a framework explaining the dynamic nature of required situational awareness in human\u2013robot teaming. In addition, we identify a range of factors affecting the dynamic nature of required and actual levels of situational awareness (i.e., dynamic situational awareness), types of situational awareness inefficiencies resulting from gaps between actual and required situational awareness, and their main consequences. We also reveal various strategies, initiated by humans and robots, that assist in maintaining the required situational awareness. Our findings inform the implementation of accurate estimates of dynamic situational awareness and the design of user-adaptive human\u2013robot interfaces. Therefore, this work contributes to the future design of more collaborative and effective human\u2013robot teams.<\/jats:p>","DOI":"10.1145\/3743693","type":"journal-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T09:31:12Z","timestamp":1751016672000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["A Framework for Dynamic Situational Awareness in Human\u2013Robot Teams: An Interview Study"],"prefix":"10.1145","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5203-3793","authenticated-orcid":false,"given":"Hashini","family":"Senaratne","sequence":"first","affiliation":[{"name":"CSIRO Robotics, Data61, Pullenvale, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8559-5610","authenticated-orcid":false,"given":"Leimin","family":"Tian","sequence":"additional","affiliation":[{"name":"CSIRO Robotics, Data61, Clayton, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4333-4838","authenticated-orcid":false,"given":"Pavan","family":"Sikka","sequence":"additional","affiliation":[{"name":"CSIRO Robotics, Data61, Pullenvale, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2416-075X","authenticated-orcid":false,"given":"Jason","family":"Williams","sequence":"additional","affiliation":[{"name":"CSIRO Robotics, Data61, Pullenvale, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5012-7224","authenticated-orcid":false,"given":"David","family":"Howard","sequence":"additional","affiliation":[{"name":"CSIRO Robotics, Data61, Pullenvale, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4169-2141","authenticated-orcid":false,"given":"Dana","family":"Kuli\u0107","sequence":"additional","affiliation":[{"name":"Monash University, Clayton, Australia and CSIRO Robotics, Data61, Clayton, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3816-0176","authenticated-orcid":false,"given":"C\u00e9cile","family":"Paris","sequence":"additional","affiliation":[{"name":"CSIRO Data61, Marsfield, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,9,18]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2022.103320"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-017-9677-2"},{"key":"e_1_3_4_4_2","doi-asserted-by":"crossref","first-page":"1168","DOI":"10.1109\/ICUAS57906.2023.10156426","volume-title":"Proceedings of the 2023 International Conference on Unmanned Aircraft Systems (ICUAS)","author":"Allenspach Mike","year":"2023","unstructured":"Mike Allenspach, Till K\u00f6tter, Rik B\u00e4hnemann, Marco Tognon, and Roland Siegwart. 2023. 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