Age-related changes in visual lobe shape characteristics and their relationship to visual search performance

References

• Allen, P. A., D. J.Madden, K. E.Groth, and L. C.Crozier. 1992. “Impact of Age, Redundancy, and Perceptual Noise on Visual-Search.” Journals of Gerontology47: 69–74.
   PubMedGoogle Scholar
• Andersen, G. J., R.Ni, J. D.Bower, and T.Watanabe. 2010. “Perceptual Learning, Aging, and Improved Visual Performance in Early Stages of Visual Processing.” Journal of Vision10 (13): 4, 10.1167/10.13.4.
   PubMed Web of Science ®Google Scholar
• Ball, K. K., B. L.Beard, D. L.Roenker, R. L.Miller, and D. S.Griggs. 1988. “Age and Visual Search Expanding the Useful Field of View.” Journal of the Optical Society of America a-Optics Image Science and Vision5: 2210–2219.
   Web of Science ®Google Scholar
• Bellamy, L. J., and A. J.Courtney. 1981. “Development of a Search Task for the Measurement of Peripheral Visual Acuity.” Ergonomics24: 497–509.
   PubMed Web of Science ®Google Scholar
• Bstsakes, P. J., and A. D.Fisk. 2000. “Age-Related Differences in Dual-Task Visual Search: Are Performance Gains Retained?” Journals of Gerontology Series B – Psychological Sciences and Social Sciences55: 332–342.
   Web of Science ®Google Scholar
• Busey, T., J.Craig, C.Clark, and L.Humes. 2010. “Age-Related Changes in Visual Temporal Order Judgment Performance: Relation to Sensory and Cognitive Capacities.” Vision Research50: 1628–1640.
   PubMed Web of Science ®Google Scholar
• Chan, A. H. S., and C. H. Y.Chiu. 2010. “Visual Lobe Shape Characteristics of Experienced Industrial Inspectors and Inexperienced Subjects.” Human Factors and Ergonomics in Manufacturing & Service Industries20: 367–377.
   Web of Science ®Google Scholar
• Chan, A. H. S., and A. J.Courtney. 1993. “Inter-Relationships Between Visual Lobe Dimensions, Search Times and Eye Movement Parameters for a Competition Search Task.” The Annals of Physiological Anthropology12 (4): 219–227.
   PubMedGoogle Scholar
• Chan, A. H. S., and D. K. T.So. 2006. “Measurement and Quantification of Visual Lobe Shape Characteristics.” International Journal of Industrial Ergonomics36: 541–552.
   Web of Science ®Google Scholar
• Chan, A. H. S., and D. K. T.So. 2007. “Shape Characteristics of Useful Field of View and Visual Search Time.” Travail Humain70: 343–367.
   Web of Science ®Google Scholar
• Chan, A. H. S., and N. Y. W.Tang. 2007. “Visual Lobe Shape and Search Performance for Targets of Different Difficulty.” Ergonomics50: 289–318.
   PubMed Web of Science ®Google Scholar
• Courtney, A. J.1989. “Continuation of Visual-Field Mapping for a Target Embedded in a Regular Background.” Perceptual and Motor Skills69: 843–849.
   PubMed Web of Science ®Google Scholar
• Courtney, A. J., and A. H. S.Chan. 1985. “Mapping the Binocular Visual Field for a Target Embedded in a Regular Background.” Perceptual and Motor Skills61: 1067–1073.
   PubMed Web of Science ®Google Scholar
• Courtney, A. J., and A. H. S.Chan. 1986. “Visual Lobe Dimensions and Search Performance for Targets on a Competing Homogeneous Background.” Perception & Psychophysics40: 39–44.
   PubMed Web of Science ®Google Scholar
• Courtney, A. J., and G.Guan. 1996. “Visual Search Performance with Complete and Incomplete Lobe areas.” Ergonomics39: 749–756.
   PubMed Web of Science ®Google Scholar
• Drury, C. G., and M. R.Clement. 1978. “The Effect of Area, Density, and Number of Background Characters on Visual Search.” Human Factors20 (5): 597–602.
   PubMed Web of Science ®Google Scholar
• Drury, C. G., and S. K.Hong. 2000. “Generalizing from Single Target Search to Multiple Target Search.” Theoretical Issue in Ergonomic Science1 (4): 303–314.
   Google Scholar
• Edwards, D. C., and P. A.Goolkasian. 1974. “Peripheral Vision Location and Kinds of Complex Processing.” Journal of Experimental Psychology102: 244–249.
   PubMedGoogle Scholar
• Engel, F. L.1974. “Visual Conspicuity and Selected Background Interference in Eccentric Vision.” Vision Research14: 459–471.
   PubMed Web of Science ®Google Scholar
• Erickson, R. A.1964. “Visual Search Performance in Moving Structured Field.” Journal of the Optical Society of America54: 399–403.
   PubMed Web of Science ®Google Scholar
• Eriksen, C. W., R. M.Hamlin, and B. G.Breitmeyer. 1970. “Temporal Factors in Visual Perception as Related to Aging.” Perception and Psychophysics7: 354–356.
   Web of Science ®Google Scholar
• Esau, S. P., C. T.Scialfa, and K. M.Joffe. 1998. “Age, Target-Distractor Similarity, and Visual Search.” Experimental Aging Research24: 337–358.
   PubMed Web of Science ®Google Scholar
• Etcheverry, I., T.Baccino, P.Terrier, J. C.Marquie, and M.Mojahid. 2012. “Age Differences in Information Finding Tasks: Performance and Visual Exploration Strategy with Different Web Page Layouts.” Computers in Human Behavior28: 1670–1680.
   Web of Science ®Google Scholar
• Fincannon, T., J. R.Keebler, F.Jentsch, and M.Curtis. 2013. “The Influence of Camouflage, Obstruction, Familiarity and Spatial Ability on Target Identification from an Unmanned Ground Vehicle.” Ergonomics56 (5): 739–751.
   PubMed Web of Science ®Google Scholar
• Gallwey, T. J.2009. “Lobe Size Curves for Several Targets and Their Effect on Visual Search Time.” International Journal of Industrial Ergonomics39: 601–607.
   Web of Science ®Google Scholar
• Gramopadhye, A. K., C. G.Drury, X.Jiang, and R.Sreenivasan. 2002. “Visual Search and Visual Lobe Size: Can Training on One Affect the Other?” International Journal of Industrial Ergonomics30: 181–195.
   Web of Science ®Google Scholar
• Humphrey, D. G., and A. F.Kramer. 1997. “Age Differences in Visual Search for Feature, Conjunction, and Triple-Conjunction Targets.” Psychology and Aging12: 704–717.
   PubMed Web of Science ®Google Scholar
• Johnson, D. M.1965. “Search Performance as a Function of Peripheral Acuity.” Human Factors7: 528–535.
   Web of Science ®Google Scholar
• Jung, E. S., Y.Shin, and D.Kee. 2000. “Generation of Visual Fields for Ergonomic Design and Evaluation.” International Journal of Industrial Ergonomics26: 445–456.
   Web of Science ®Google Scholar
• Kraiss, K., and A.Knaeuper. 1982. “Using Visual Lobe Area Measurements to Predict Visual Search Performance.” Human Factors24: 673–682.
   PubMed Web of Science ®Google Scholar
• Kramer, A. F., W. R.Boot, J. S.McCarley, M. S.Peterson, A.Colcombe, and C. T.Scialfa. 2006. “Aging, Memory and Visual Search.” Acta Psychologica122: 288–304.
   PubMed Web of Science ®Google Scholar
• Kutner, M. H., C. J.Nachtsheim, J.Neter, and W.Li. 2004. Applied Linear Regression Models. 5th ed.New York: McGraw Hill.
   Google Scholar
• Leachtenauer, J. C.1978. “Peripheral Acuity and Photo Interpretation Performance.” Human Factors20: 537–551.
   PubMed Web of Science ®Google Scholar
• Lee, F. C. H., and A. H. S.Chan. 2009. “Effects of Learning for Linear and Differential Video Magnifiers.” Ergonomics52: 1501–1513.
   PubMed Web of Science ®Google Scholar
• Lesch, M. F., W. J.Horrey, M. S.Wogalter, and W. R.Powell. 2011. “Age-Related Differences in Warning Symbol Comprehension and Training Effectiveness: Effects of Familiarity, Complexity, and Comprehensibility.” Ergonomics54: 879–890.
   PubMed Web of Science ®Google Scholar
• Lleras, A., M.Porporino, J. A.Burack, and J. T.Enns. 2011. “Rapid Resumption of Interrupted Search Is Independent of Age-Related Improvements in Visual Search.” Journal of Experimental Child Psychology109: 58–72.
   PubMed Web of Science ®Google Scholar
• Madden, D. J., L. R.Gottlob, and P. A.Allen. 1999. “Adult Age Differences in Visual Search Accuracy: Attentional Guidance and Target Detectability.” Psychology and Aging14: 683–694.
   PubMed Web of Science ®Google Scholar
• McCalley, L. T., D. G.Bouwhuis, and J. F.Juola. 1995. “Age Changes in the Distribution of Visual Attention.” Journals of Gerontechnology. Series B, Psychological Sciences & Social Sciences50: 316–331.
   Web of Science ®Google Scholar
• McLaughlin, P. M., and S. J. E.Murtha. 2010. “The Effects of Age and Exogenous Support on Visual Search Performance.” Experimental Aging Research36: 325–345.
   PubMed Web of Science ®Google Scholar
• Morawski, T. B., C. G.Drury, and M. H.Karwan. 1980. “Predicting Search Performance for Multiple Targets.” Human Factors22 (6): 707–718.
   PubMed Web of Science ®Google Scholar
• Nalanagula, D., J. S.Greenstein, and A. K.Gramopadhye. 2006. “Evaluation of the Effect of Feedforward Training Displays of Search Strategy on Visual Search Performance.” International Journal of Industrial Ergonomics36: 289–300.
   Web of Science ®Google Scholar
• Omori, M., M.Miyao, H.Kanamori, and B.Atsumi. 2008. “Visual Cognitive Performance of Elderly People: Effects on Reading Time of Age, Character Size and Visual Distance.” Behaviour & Information Technology27: 313–318.
   Web of Science ®Google Scholar
• Owsley, C., M. E.Sloane, K.Ball, D. L.Roenker, and J. R.Bruni. 1991. “Visual/Cognitive Correlates of Vehicle Accidents in Older Drivers.” Psychology and Aging6 (3): 403–415.
   PubMed Web of Science ®Google Scholar
• Piepenbrock, C., S.Mayr, I.Mund, and A.Buchner. 2013. “Positive Display Polarity Is Advantageous for Both Younger and Older Adults.” Ergonomics56 (7): 1116–1124.
   PubMed Web of Science ®Google Scholar
• Plude, D. J., and J. A.Doussard-Roosevelt. 1989. “Aging, Selective Attention, and Feature Integration.” Psychology and Aging4: 98–105.
   PubMed Web of Science ®Google Scholar
• Potter, L. M., M. A.Grealy, M. A.Elliott, and P.Andres. 2012. “Aging and Performance on an Everyday-Based Visual Search Task.” Acta Psychologica140: 208–217.
   PubMed Web of Science ®Google Scholar
• Rantanen, E. M., and J. H.Goldberg. 1999. “The Effect of Mental Workload on the Visual Field Size and Shape.” Ergonomics42: 816–834.
   PubMed Web of Science ®Google Scholar
• Richards, E., P. J.Bennett, and A. B.Sekuler. 2006. “Age Related Differences in Learning with the Useful Field of View.” Vision Research46: 4217–4231.
   PubMed Web of Science ®Google Scholar
• Rogers, W. A.1992. “Age Differences in Visual Search: Target and Distractor Learning.” Psychology and Aging7: 526–535.
   PubMed Web of Science ®Google Scholar
• Scialfa, C. T., S. P.Esau, and K. M.Joffe. 1998. “Age, Target-Distractor Similarity, and Visual Search.” Experimental Aging Research24: 337–358.
   PubMed Web of Science ®Google Scholar
• Scialfa, C. T., and K. M.Joffe. 1997. “Age Differences in Feature and Conjunction Search: Implications for Theories of Visual Search and Generalized Slowing.” Aging, Neuropsychology, and Cognition4: 227–246.
   Web of Science ®Google Scholar
• Scialfa, C. T., D. W.Kline, and B. J.Lyman. 1987. “Age Differences in Target Identification as a Function of Retinal Location and Noise Level: Examination of the Useful Field of View.” Psychology and Aging2 (1): 14–19.
   PubMed Web of Science ®Google Scholar
• Scialfa, C. T., D. M.Thomas, and K. M.Joffe. 1994. “Age Differences in the Useful Field of View: An Eye Movement Analysis.” Optometry and Vision Science736–742.
   PubMed Web of Science ®Google Scholar
• Sekuler, A. B., P. J.Bennett, and M.Mamelak. 2000. “Effects of Aging on the Useful Field of View.” Experimental Aging Research26: 103–120.
   PubMed Web of Science ®Google Scholar
• Toet, A., P.Bijl, and J. M.Valeton. 2001. “Image Dataset for Testing Search and Detection Models.” Optical Engineering40 (9): 1760–1767.
   Web of Science ®Google Scholar
• Tsang, S. N. H., A. H. S.Chan, and R. F.Yu. 2012. “Effect of Display Polarity and Luminance Contrast on Visual Lobe Shape Characteristics.” Ergonomics55: 1028–1042.
   PubMed Web of Science ®Google Scholar
• Verhaeghen, P.2002. “Age Differences in Efficiency and Effectiveness of Encoding for Visual Search and Memory Search: A Time-Accuracy Study.” Aging Neuropsychology and Cognition9: 114–126.
   Web of Science ®Google Scholar
• Yu, R. F., and A. H. S.Chan. 2013. “Visual Search Time in Detection Tasks with Multiple Targets: Considering Change of the Effective Stimulus Field Area.” International Journal of Industrial Ergonomics43: 328–334.
   Web of Science ®Google Scholar