Berlin, L (1996). Malpractice issues in radiology. Perceptual errors. AJR American Journal of Roentgenology, 167, 587–590.
Article
PubMed
Google Scholar
Biggs, AT, Cain, MS, Clark, K, Darling, EF, & Mitroff, SR (2013). Assessing visual search performance differences between Transportation Security Administration Officers and nonprofessional visual searchers. Visual Cognition, 21(3), 330–352.
Article
Google Scholar
Castella, C, Kinkel, K, Descombes, F, & Eckstein, MP (2008). Mammographic texture synthesis: second-generation clustered lumpy backgrounds using a genetic algorithm. Optics Express, 16(11), 7595–7607.
Article
PubMed
Google Scholar
Cole, EB, Zhang, Z, Marques, HS, Hendrick, RE, Yaffe, MJ, & Pisano, ED (2014). Impact of computer-aided detection systems on radiologist accuracy with digital mammography. American Journal of Roentgenology, 203(4), 909–916. doi:10.2214/AJR.12.10187.
Deza, A, Peters, JR, Taylor, GS, Surana, A, & Eckstein, MP (2017). Attention Allocation Aid for Visual Search (pp. 220–231). Presented at the 2017 CHI Conference, New York, NY: ACM Press. doi:10.1145/3025453.3025834.
Dickinson, CA, & Zelinsky, GJ (2005). Marking rejected distractors: A gaze-contingent technique for measuring memory during search. Psychonomic Bulletin and Review, 12(6), 1120–1126.
Article
PubMed
Google Scholar
Doi, K (2007). Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Computerized Medical Imaging and Graphics, 31(4–5), 198–211. doi:10.1016/j.compmedimag.2007.02.002.
Drew, T, Cunningham, C, & Wolfe, JM (2012). When and why might a computer-aided detection (CAD) system interfere with visual search? An eye-tracking study. Academic Radiology, 19(10), 1260–1267. doi:10.1016/j.acra.2012.05.013.
Drew, T, Võ, ML, Olwal, A, Jacobson, F, Seltzer, SE, & Wolfe, JM (2013). Scanners and drillers: characterizing expert visual search through volumetric images. Journal of Vision, 13(10), 3. doi:10.1167/13.10.3.
Duchowski, AT (2017). Eye Tracking Methodology. Cham: Springer. doi:10.1007/978-3-319-57883-5.
Gilchrist, ID, & Harvey, M (2000). Refixation frequency and memory mechanisms in visual search. Current Biology, 10(19), 1209–1212. doi:10.1016/S0960-9822(00)00729-6.
Horowitz, TS, & Wolfe, JM (1998). Visual search has no memory. Nature, 394, 575–577.
Article
PubMed
Google Scholar
Hout, MC, Walenchok, SC, Goldinger, SD, & Wolfe, JM (2015). Failures of perception in the lowprevalence effect: Evidence from active and passive visual search. Journal of Experimental Psychology. Human Perception and Performance, 41(4), 977.
Klein, RM, & Dukewich, K (2006). Does the inspector have a memory? Visual Cognition, 14, 648–667.
Article
Google Scholar
Kleiner, M, Brainard, D, Pelli, D, & Ingling, A (2007). What’s new in Psychtoolbox-3. Perception, 36(14), 1–16.
Google Scholar
Kristjansson, A (2000). In search of remembrance: evidence for memory in visual search. Psychological Science, 11(4), 328–332. doi:10.1111/1467-9280.00265.
Kundel, HL, Nodine, CF, & Carmody, D (1978). Visual scanning, pattern recognition and decision-making in pulmonary nodule detection. Investigative Radiology, 13(3), 175–181.
Article
PubMed
Google Scholar
Mitroff, SR, Biggs, AT, & Cain, MS (2015). Multiple-target visual search errors: overview and implications for airport security. Policy Insights from the Behavioral and Brain Sciences, 2(1), 121–128.
Article
Google Scholar
Palmer, EM, Horowitz, TS, Torralba, A, & Wolfe, JM (2011). What are the shapes of response time distributions in visual search? Journal of Experimental Psychology: Human Perception and Performance, 37(1), 58–71. doi:10.1037/a0020747.
Parasuraman, R, & Manzey, DH (2010). Complacency and bias in human use of automation: an attentional integration. Human Factors, 52(3), 381–410. doi:10.1177/0018720810376055.
Peltier, C, & Becker, MW (in press). Eye-movement feedback fails to improve visual search performance. Cognitive Research: Prionciples and Implications.
Peterson, M, Kramer, A, Wang, R, Irwin, D, & McCarley, J (2001). Visual search has memory. Psychological Science, 12, 287–292.
Article
PubMed
Google Scholar
Philpotts, LE (2009). Can computer-aided detection be detrimental to mammographic interpretation? Radiology, 253(1), 17–22. doi:10.1148/radiol.2531090689.
Rich, AN, Kunar, MA, Van Wert, MJ, Hidalgo-Sotelo, B, Horowitz, TS, & Wolfe, JM (2008). Why do we miss rare targets? Exploring the boundaries of the low prevalence effect. Journal of Vision, 8(15), 15. doi:10.1167/8.15.15.
Rouder, JN, Morey, RD, & Speckman, PL (2012). Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology, 56(5), 356–374. doi:10.1016/j.jmp.2012.08.001.
Russell, BC, Torralba, A, Murphy, KP, & Freeman, WT (2008). LabelMe: a database and web-based tool for image annotation. International Journal of Computer Vision, 77(1), 157–173.
Article
Google Scholar
Shanker, T, & Richtel, M (2011, January 16). In New Military, Data Overload Can Be Deadly. New York Times. http://www.nytimes.com/2011/01/17/technology/17brain.html?pagewanted=all. Accessed 7 Aug 2017.
Shore, DI, & Klein, RM (2000). On the manifestations of memory in visual search. Spatial Vision, 14, 59–76.
Article
PubMed
Google Scholar
Võ, MLH, Aizenman, AM, & Wolfe, JM (2016). You think you know where you looked? You better look again. Journal of Experimental Psychology: Human Perception and Performance, 42(10), 1477–1481. doi:10.1037/xhp0000264.
Wagenmakers, E-J (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin and Review, 14(5), 779–804.
Article
PubMed
Google Scholar
Wallis, MG, Walsh, MT, & Lee, JR (1991). A review of false negative mammography in a symptomatic population. Clinical Radiology, 44(1), 13–15. doi:10.1016/S0009-9260(05)80218-1.
Wetzels, R, & Wagenmakers, E-J (2012). A default Bayesian hypothesis test for correlations and partial correlations. Psychonomic Bulletin and Review, 19(6), 1057–1064. doi:10.3758/s13423-012-0295-x.
Wolfe, JM, Boettcher, SEP, Josephs, EL, Cunningham, CA, & Drew, T (2015). You look familiar, but I don’t care: Lure rejection in hybrid visual and memory search is not based on familiarity. Journal of Experimental Psychology: Human Perception and Performance, 41(6), 1576–1587. doi:10.1037/xhp0000096.
Wolfe, JM, Brunelli, DN, Rubinstein, J, & Horowitz, TS (2013). Prevalence effects in newly trained airport checkpoint screeners: Trained observers miss rare targets, too. Journal of Vision, 13(3), 33. doi:10.1167/13.3.33.