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This investigation looks at how users assign pre\u2010determined query terms to retrieved images, as well as looking at a post\u2010retrieval process of image engagement to user cognitive assessments of meaningful terms. Additionally, affective\/emotion\u2010based query terms appear to be an important descriptive category for image retrieval. A system for capturing (eliciting) human interpretations derived from cognitive engagements with viewed images could further enhance the efficiency of image retrieval systems stemming from traditional indexing methods and technology\u2010based content extraction algorithms. An approach to such a system is posited.<\/jats:p>","DOI":"10.1108\/00220410210425386","type":"journal-article","created":{"date-parts":[[2002,7,28]],"date-time":"2002-07-28T19:02:27Z","timestamp":1027882947000},"page":"6-29","source":"Crossref","is-referenced-by-count":77,"title":["Modelling what users see when they look at images: a cognitive viewpoint"],"prefix":"10.1108","volume":"58","author":[{"given":"Howard","family":"Greisdorf","sequence":"first","affiliation":[]},{"given":"Brian","family":"O\u2019Connor","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022012420120365000_b1","doi-asserted-by":"crossref","unstructured":"Androutsas, D. et al. (1998), \u201cContent\u2010based representation and retrieval of visual media: a state\u2010of\u2010the\u2010art review\u201d, Multimedia Tools and Applications, Vol. 3 No. 3, pp. 179\u2010202.","DOI":"10.1007\/BF00393937"},{"key":"key2022012420120365000_b2","unstructured":"Arnheim, R. 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