7. Conclusion 139
7.3. Closing thoughts 172
7.3.2. Influences on multiple-‐‑target search errors 174
Errors associated with searching for multiple targets occur among both professional searchers and laypersons but are driven by different causes. Laypersons tend to search haphazardly, failing to employ a consistent method or strategy. They excel at identifying salient item but struggle to locate less obvious targets. Despite efforts to search for additional targets, cognitive resources are expended during the
identification of one target and limit attention during the remainder of the search process. Radiologists, on the other hand, are methodical searches who are equally adept at identifying high-‐‑ and low-‐‑salience targets. They spend significantly longer searching and may commit errors because of time constraints; however, the causes of multiple-‐‑ target search errors among radiologists remain largely unclear.
A variety of factors alter multiple-‐‑target search accuracy among laypersons. Minor manipulations, such as the framework of a task, that do not modify accuracy for single-‐‑target searches can induce unique effects specific to second-‐‑target accuracy. Stronger manipulations can improve accuracy for single-‐‑ and multiple-‐‑target searches alike, and the combination of motivation and feedback produces especially high levels of accuracy.
References
Ackerman, P. L., Kanfer, R., & Calderwood, C. (2010). Use it or lose it? Wii brain exercise practice and reading for domain knowledge. Psychological Aging, 25, 753–766. Adamo, S. H., Cain, M. S., & Mitroff, S. R. (2013). Self-‐‑induced attentional blink: A cause
of errors in multiple-‐‑target search. Psychological Science, 24(12), 2569–2574. Ahissar, M., & Hochstein, S. (2004). The reverse hierarchy theory of visual perceptual
learning. Trends in Cognitive Sciences, 8(10), 457–464.
Alvarez, G. A., & Cavanagh, P. (2004). The capacity of visual short-‐‑term memory is set both by visual information load and by number of objects. Psychological
Science, 15, 106–111.
An, A., Sun, M., Wang, Y., Wang, F., Ding, Y., & Song, Y. (2012). The N2pc is increased by perceptual learning but is unnecessary for the transfer of learning. PLOS ONE,
7(4), 1–6.
Anbari, M. M., & West, O. C. (1997). Cervical spine trauma radiology: Sources of false-‐‑ negative diagnoses. Emergency Radiology, 4, 218–224.
Anderson, B.A., Laurent, P.A., & Yantis, S. (2011). Value-‐‑driven attentional capture.
Proceedings of the National Academy of Sciences USA, 108, 10367−10371.
Angelone, B. L., Levin, D. T., & Simons, D. J. (2003). The roles of representation and comparison failures in change blindness. Perception, 32, 947−962.
Appelbaum, L. G., Schroeder, J. E., Cain, M. S., & Mitroff, S. R. (2011). Improved visual cognition through stroboscopic training. Frontiers in Psychology, 2, 276.
Ball, K., Berch, D. B., Helmers, K. F., Jobe, J. B., Leveck, M. D., Marsiske, M., Morris, J. N., Rebok, G. W., Smith, D. M., Tennstedt, S. L., Unverzagt, F. W., & Willis, S. L. (2002). The effects of cognitive training interventions with older adults: A randomized controlled trial. Journal of the American Medical Association,
288, 2271−2228.
Ball, K., & Sekuler, R. (1982). A specific and enduring improvement in visual motion discrimination. Science, 218, 697−698.
Ball, K., & Sekuler, R. (1987). Direction-‐‑specific improvement in motion discrimination.
Balzer, W. K., Doherty, M. E., & O'ʹConnor, R. (1989). Effects of cognitive feedback on performance. Psychological Bulletin, 106(3), 410−433.
Beard, B. L., Levi, D. M., & Reich, L. N. (1995). Perceptual learning in parafoveal vision.
Vision Research, 35(12), 1679–1690.
Beck, M. R., & Levin, D. T. (2003). The role of representational volatility in recognizing pre-‐‑ and post-‐‑change objects. Perception & Psychophysics, 65, 458−468.
Bende, M., & Nordin, S. (1997). Perceptual learning in olfaction: Professional wine tasters versus controls. Physiology & Behavior, 62, 1065−1070.
Berbaum, K. S. (2012). Satisfaction of search experiments in advanced imaging. In
Proceedings of the SPIE 8291 (Vol. 8291, p. 82910V). Paper presented at the 17th
Human Vision and Electronic Imaging conference.
Berbaum, K. S., El-‐‑Khoury, G. Y., & Ohashi, K. (2007). Satisfaction of search in multi-‐‑ trauma patients: Severity of detected fractures. Academic Radiology, 14, 711−722. Berbaum, K. S., Franken Jr., E. A., Dorfman, D. D., Miller, E. M., Krupinski, E. A., &
Kreinbring, K. (1996). The cause of satisfaction of search effects in contrast studies of the abdomen. Academic Radiology, 3, 815−826.
Berbaum, K. S., Franken, E. A., & Dorfman, D. D. (1991). Time-‐‑course of satisfaction of search. Investigative Radiology, 26, 640−648.
Berbaum, K. S., Franken, E. A., & Dorfman, D. D. (1998). Role of faulty visual search in the satisfaction of search effect in chest radiology. Academic Radiology, 5, 9−19. Berbaum, K. S., Franklin, E. A., Caldwell, R. T., & Schartz, K. M. (2010). Satisfaction of
search in traditional radiographic imaging. The handbook of medical image perception and techniques, 107−138.
Berggren, N., Richards, A., Taylor, J., & Derakshan, N. (2013). Affective attention under cognitive load: Reduced emotional biases but emergent anxiety-‐‑related costs to inhibitory control. Frontiers in Human Neuroscience, 7, 188.
Beste, C., Wascher, E., Güntürkün, O., & Dinse, H. R. (2011). Improvement and impairment of visually guided behavior through LTP-‐‑ and LTD-‐‑like exposure-‐‑ based visual learning. Current Biology, 21, 876−882.
Biederman, I., & Shiffrar, M. (1987). Sexing day-‐‑old chicks: a case study and expert systems analysis of a difficult perceptual learning task. Journal of Experimental
Psychology: Learning, Memory, and Cognition, 13, 640−645.
Biggs, A. T., & Mitroff, S. R. (2013). Different predictors of multiple-‐‑target search accuracy between non-‐‑professional and professional visual searchers. Quarterly
Journal of Experimental Psychology.
Biggs, A. T., Cain, M. S., Clark, K., Darling, E. F., & Mitroff, S. R. (2013). Assessing visual search performance differences between Transportation Security Administration Officers and non-‐‑professional visual searchers. Visual Cognition, 21(3), 330−352. Bond, A. B. (1983). Visual search and selection of natural stimuli in the pigeon: The
attention threshold hypothesis. Journal of Experimental Psychology: Animal
Behavior Processes, 9, 292−306.
Boot, W. R., Blakely, D. P., & Simons, D. J. (2011). Do action video games improve perception and cognition? Frontiers in Psychology, 2, 1-‐‑5.
Boot, W. R., Champion, M., Blakely, D. P., Wright, T. J., Sounders, D., & Charness, N. (2013). Video games as a means to reduce age-‐‑related cognitive decline: Attitudes, compliance, and effectiveness. Frontiers in Cognition, 4, 31.
Boot, W. R., Kramer, A. F., Simons, D. J., Fabiani, M., & Gratton, G. (2008). The effects of video game playing on attention, memory, and executive control. Acta
Psychologica, 129(3), 387−398.
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to
meta-‐‑analysis. Chichester, UK: Wiley.
Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433−436.
Cain, M. S., & Mitroff, S. R. (2013). Memory for found targets interferes with subsequent performance in multiple-‐‑target visual search. Journal of Experimental Psychology:
Human Perception & Performance, 39(5), 1398−1408.
Cain, M. S., Adamo, S. H., & Mitroff, S. R. (2013). A taxonomy of multiple-‐‑target search errors. Visual Cognition, 21(7), 899−921.
Cain, M. S., Dunsmoor, J. E., LaBar, K. S., & Mitroff, S. R. (2011). Anticipatory anxiety hinders detection of a second target in dual-‐‑target search. Psychological Science,
22(7), 866−871.
Cain, M. S., Landau, A. N., & Shimamura, A. P. (2012). Action video game experience reduces the cost of switching tasks. Attention, Perception, & Psychophysics, 74(4), 641–647.
Cain, M. S., Vul, E., Clark, K., & Mitroff, S. R. (2012). A Bayesian optimal foraging model of human visual search. Psychological Science, 23(9), 1047–1054.
Callan, D. E., & Schweighofer, N. (2008). Positive and negative modulation of word learning by reward anticipation. Human Brain Mapping, 29, 237–249.
Camerer, C. F., & Hogarth, R. M. (1999). The effects of financial incentives in
experiments: A review of capital-‐‑labor-‐‑production framework. Journal of Risk and
Uncertainty, 19(1), 7–42.
Caplovitz, G. P., & Kastner, S. (2009). Carrot sticks or joysticks: Video games improve vision. Nature Neuroscience, 12(5), 527−528.
Castel, A. D., Pratt, J., & Drummond, E. (2005). The effects of action video game
experience on the time course of inhibition of return and the efficiency of visual search. Acta Psychologica, 119, 217−230.
Catteeuw, P., Helsen, W. F., Gillis, B., & Wageman, J. (2009). Decision-‐‑making skills, role specificity, and deliberate practice in association football refereeing. Journal of
Sports Sciences, 27, 1125−1136.
Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 55−81. Chisholm, J. D. & Kingstone, A. (2012). Improved top-‐‑down control reduces oculomotor
capture: The case of action video game players. Attention, Perception &
Psychophysics, 74(2), 257−262.
Chisholm, J. D., Hickey, C., Theeuwes, J., & Kingston, A. (2010). Reduced attentional capture in action video game players. Attention, Perception, & Psychophysics, 72(3), 667−671.
Chun, M. M., & Wolfe, J. M. (1996). Just say no: How are visual searches terminated when there is no target present? Cognitive Psychology, 30, 39−78.
Clark, K., Appelbaum, L. G., Mitroff, S. R., & Woldorff, M. G. (in preparation). Neural correlates of learning during a visual search task.
Clark, K., Cain, M. S., Adcock, R. A., & Mitroff, S. R. (2014). Context Matters: The structure of task goals affects accuracy in multiple-‐‑target visual search. Applied
Ergonomics, 45, 528−533.
Clark, K., Cain, M. S., Adcock, R. A., & Mitroff, S. R. (in preparation). Effects of motivation, feedback, and time pressure on multiple-‐‑target visual search.
Clark, K., Fleck, M. S., & Mitroff, S. R. (2011). Enhanced change detection performance reveals improved strategy use in avid action video game players. Acta
Psychologica, 136, 67−72.
Clark, K., Samei, E., Baker, J., & Mitroff, S. R. (under revision). Searching for Multiple Targets: How radiologists perform differently than non-‐‑professionals.
Cohen, J. (1962). The statistical power of abnormal–social psychological research: A review. Journal of Abnormal and Social Psychology, 65, 145–153.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Coles, M. G. H. (1988). Modern mind-‐‑brain reading. Psychophysiology, Psysiology, &
Cognition, 26, 251−269.
Colzato, L. S., van Leeuwen, P. J., van den Wildenberg, W. P., & Hommel, B. (2010). DOOM'ʹd to switch: Superior cognitive flexibility in players of first person shooter games. Frontiers in Psychology, 1(8), 1−4.
Corbetta, M., & Shulman, G. L. (2002). Control of goal-‐‑directed and stimulus-‐‑driven attention in the brain. Nature Reviews, Neuroscience, 3(3), 201−215.
Costello, M. C., Madden, D. J., Mitroff, S. R., & Whiting, W. L. (2010). Age-‐‑related decline in visual processing in change detection. Psychology and Aging, 25(2), 356−368.
Davis, M., & Whalen, P. J. (2001). The amygdala: vigilance and emotion. Molecular
De Lisi, R., & Cammarano, D. M. (1996). Computer experience and gender differences in undergraduate mental rotation performance. Computers in Human Behavior, 12(3), 351−361.
De Lisi, R., & Wolford, J. L. (2002). Improving children'ʹs mental rotation accuracy with computer game playing. The Journal of Generic Psychology, 16(3), 272−282. Della Libera, C., & Chelazzi, L. (2009) Learning to attend and to ignore is a matter of
gains and losses. Psychological Science, 20(6), 778−784.
Donohue, S. E., Woldorff, M. G., & Mitroff, S. R. (2010). Video game players show more precise multisensory temporal processing abilities. Attention, Perception, &
Psychophysics, 72, 1120−1129.
Dorval, M., & Pepin, M. (1986). Effect of playing a video game on a measure of spatial visualization. Perceptual and Motor Skills, 62, 159−162.
Dowd, E. W., & Mitroff, S. R. (2013). Attentional guidance by working memory
overrides salience cues in visual search. Journal of Experimental Psychology: Human
Perception and Performance, 39(6), 1786.
Duncan, J., & Humphreys, G. W. (1989). Visual search and stimulus similarity.
Psychological Review, 96(3), 433−458.
Durlach, P. J., Kring, J. P., & Bowens, L. D. (2009). Effects of action video game playing on change detection. Military Psychology, 21, 24−39.
Dye, M. W. G., Green, C. S., & Bavelier, D. (2009). Increasing speed of processing with action video games. Current Directions in Psychological Science, 18(6), 321−326. Eckstein, M. P. (2011). Visual search: A retrospective. Journal of Vision, 11(5), 14, 1−36. Eimer, M. (1996). The N2pc component as an indicator of attentional selectivity.
Electroencephalography and Clinical Neurophysiology, 99(3), 225−235.
Eimer, M., & Kiss, M. (2010). The top-‐‑down control of visual selection and how it is linked to the N2pc component. Acta Psychologica, 135, 100−102.
Einhäuser, W., Spain, M., & Perona, P. (2008). Objects predict fixations better than early saliency. Journal of Vision, 8(14), 18, 1–26.
Erez, M., & Zidon, I. (1984). Effect of goal acceptance on the relationship of goal difficulty to performance. Journal of Applied Psychology, 69, 69–78.
Fahle, M., & Edelman, S. (1993). Long-‐‑term learning in vernier acuity: Effects of stimulus orientation, range, and of feedback. Vision Research, 33, 397–412.
Fencsik, D. E., Urrea, J., Place, S. S., Wolfe, J. M., & Horowitz, T. S. (2006). Velocity cues improve visual search and multiple object tracking. Visual Cognition, 14, 92–95. Fiorentini, A., & Berardi, N. (1981). Learning in grating waveform discrimination:
Specificity for orientation and spatial frequency. Vision Research, 21(7), 1149–1158. Fleck, M. S., & Mitroff, S. R. (2007). Rare targets are rarely missed in correctable search.
Psychological Science, 18, 943–947.
Fleck, M. S., Samei, E., & Mitroff, S. R. (2010). Generalized “satisfaction of search”: Adverse influences on dual-‐‑target search accuracy. Journal of Experimental
Psychology: Applied, 16(1), 60–71.
Foulsham, T. & Underwood, G. (2008). What can saliency models predict about eye movements? Spatial and sequential aspects of fixations during encoding and recognition. Journal of Vision, 8(2), 6, 1–17.
Franconeri, S. L., Hollingworth, A., & Simons, D. J. (2005). Do new objects capture attention? Psychological Science, 16(4), 275–281.
Fritz, C. O., Morris, P. E., & Richler, J. J. (2011). Effect size estimates: Current use,
calculations and interpretation. Journal of Experimental Psychology: General, 141, 2– 18.
Gagnon, D. (1985). Videogames and spatial skills: An exploratory study. Educational
Communication and Technology, 33(4), 263−275.
Gale, A. G., Mugglestone, M. D., Purdy, K. J., & McClumpha, A. (2000). Is airport baggage inspection just another medical image? Proceedings of the SPIE, 398, 184– 192.
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000). Expertise for cars and birds recruits brain areas involved in face recognition. Nature Neuroscience, 3, 191–197.
Goldsmith, M. (1998). What'ʹs in a location? Comparing object-‐‑based and space-‐‑based models of feature integration in visual search. Journal of Experimental Psychology: