{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T08:59:22Z","timestamp":1785142762920,"version":"3.55.0"},"reference-count":45,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T00:00:00Z","timestamp":1785110400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T00:00:00Z","timestamp":1785110400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Topics in Cognitive Science"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Humans can flexibly adjust how they make decisions to arbitrary goals. However, most theories in decision\u2010making focus on predicting one specific choice type (i.e., choosing the best option). Here, we link decision\u2010making and cognitive\u2010control research to test a theory that accounts for flexible adjustments of choice mechanisms to different goals and demands. Our biologically inspired model specifies how different features translate into evidence for the current goal, and how evidence is mapped onto different output structures. We tested the model in an eye\u2010tracking study in which participants were asked to choose one out of four consumer products or to appraise the entire set, each with respect to positive or negative value. The results confirmed our preregistered hypotheses that response time (RT) should decrease with the overall value of a set of options in choose\u2010best but increase in choose\u2010worst trials. As predicted, this interaction was absent in appraisal RT, which instead exhibited an inverted\u2010U\u2010shaped pattern. Furthermore, the amount of attention devoted to an option was positively related to its value in choose\u2010best, negatively related in choose\u2010worst trials, and unrelated when participants appraised entire sets of products. Time\u2010resolved analyses of eye movements revealed strategic goal\u2010dependent search processes, as attention is increasingly focused on goal\u2010congruent options in choice but remains more uniformly distributed in appraisal. Our findings suggest that cognitive control shapes choice and search dynamics by flexibly adjusting them to current goals and demands.<\/jats:p>","DOI":"10.1111\/tops.70076","type":"journal-article","created":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T08:01:31Z","timestamp":1785139291000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Goals Shape Dynamics of Attention and Selection for Value\u2010Based Decision\u2010Making"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9468-4014","authenticated-orcid":false,"given":"Romy","family":"Froemer","sequence":"first","affiliation":[{"name":"School of Psychology University of Birmingham"},{"name":"Centre for Human Brain Health University of Birmingham"},{"name":"Cognitive and Psychological Sciences Brown University"},{"name":"Carney Institute for Brain Sciences Brown University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0620-128X","authenticated-orcid":false,"given":"Chih\u2010Chung","family":"Ting","sequence":"additional","affiliation":[{"name":"Department Psychology University of Hamburg"},{"name":"Hamburg Center of Cognitive and Neural Systems University of Hamburg"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amitai","family":"Shenhav","sequence":"additional","affiliation":[{"name":"Carney Institute for Brain Sciences Brown University"},{"name":"Department Psychology University of Hamburg"},{"name":"Department of Psychology University of California Berkeley"},{"name":"Helen Wills Neuroscience Institute University of California Berkeley"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2241-5103","authenticated-orcid":false,"given":"Sebastian","family":"Gluth","sequence":"additional","affiliation":[{"name":"Department Psychology University of Hamburg"},{"name":"Hamburg Center of Cognitive and Neural Systems University of Hamburg"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,27]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.02.063"},{"key":"e_1_2_6_3_1","unstructured":"Bates D. Kliegl R. Vasishth S. &Baayen H.(2015).Parsimonious mixed models. arXiv preprint arXiv:1506.04967.https:\/\/doi.org\/10.48550\/arXiv.1506.04967."},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2018.12.003"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1008863"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abd5363"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0186822"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41386\u2010021\u201001126\u2010y"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s41235\u2010019\u20100203\u20102"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1177\/09567976231184878"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13415\u2010019\u201000723\u20101"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41562\u2010024\u201001971\u2010z"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467\u2010019\u201012931\u2010x"},{"key":"e_1_2_6_14_1","doi-asserted-by":"crossref","unstructured":"Fr\u00f6mer R. 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