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While most studies have relied on self-reports, recent advancements in neuroergonomics have enabled the assessment of neural signatures of trust. We hypothesize that shedding light on the neural mechanisms during HRC, under varying trust states, may provide additional insights (beyond trust perceptions) into the subconscious cognitive or affective states associated with trust under cognitive fatigue. To test this hypothesis, we conducted an HRC experiment on 16 sex-balanced participants in which trust was manipulated via robot reliability at two sessions (fatigue session and no-fatigue session). We monitored brain activity, heart rate variability (HRV), performances, and subjective experiences to investigate the effect of cognitive fatigue and robot reliability on trust metrics in HRC. A significant main effect of cognitive fatigue and reliability was observed on brain activations, functional and effective connectivity, HRV, subjective response, and performance. While most measures were sensitive to changes in cognitive fatigue and reliability, only neural responses revealed interactions between reliability, cognitive fatigue, and sex. Anterior prefrontal cortex (APFC)\u2013left dorsolateral prefrontal cortex (LDLPFC) connection strength decreased with unreliable robot behavior in non-fatigued states but unexpectedly increased when fatigue was present. This suggests a neural strategy shift involving greater top-down influence from executive to motivational regions to exert more mental effort in challenging HRC conditions. Insights from this investigation can advance objective trust measures under cognitive fatigue states and help design better collaborations.<\/jats:p>","DOI":"10.1145\/3773905","type":"journal-article","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T12:48:51Z","timestamp":1761914931000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Trust Examinations with Neural Measures during Human\u2013Robot Collaboration under Cognitive Fatigue"],"prefix":"10.1145","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2712-5615","authenticated-orcid":false,"given":"Aakash","family":"Yadav","sequence":"first","affiliation":[{"name":"Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4713-4455","authenticated-orcid":false,"given":"Sarah K.","family":"Hopko","sequence":"additional","affiliation":[{"name":"Texas A&amp;M University, College Station, Texas, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8553-4658","authenticated-orcid":false,"given":"Prabhakar R.","family":"Pagilla","sequence":"additional","affiliation":[{"name":"Texas A&amp;M University, College Station, Texas, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8254-8365","authenticated-orcid":false,"given":"Ranjana K.","family":"Mehta","sequence":"additional","affiliation":[{"name":"Industrial &amp; Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,12,22]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"crossref","unstructured":"M. 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