Why do we focus more on some things than others?

Attentional Bias

, explained.
Bias

What is Attentional Bias?

The attentional bias describes our tendency to focus on certain elements of our environment while ignoring others. Research has shown that many different factors can bias our attention, from external events and emotional stimuli (such as a perceived threat to our safety) to internal states (such as hunger or sadness).

An illustration shows two pie charts labeled "Information" and "Perception." The "Information" chart is divided into many small, colorful sections, while the "Perception" chart has fewer, larger segments.

Where this bias occurs

Let’s say you want to improve your diet, so you decide to reduce the amount of sugar you eat. To work toward this goal, you resolve to buy fewer desserts when you go grocery shopping. However, one week, you have a particularly busy schedule, and you end up doing your grocery shopping at the end of a work day before you’ve had a chance to eat dinner. You try your very best to take your mind off the junk food aisle, but you can’t seem to stop thinking about your favorite snacks. Eventually, you cave and throw a couple of boxes of cookies into your cart, which you later end up eating.

In this example, the state of being hungry has biased your attention toward foods that can quickly satisfy your energy needs—like sugar—and made it much more difficult for you to follow through on your plan. Attentional bias most often pops up when we’re facing emotionally charged information or stimuli, such as hunger, angry faces, or threatening words. An attentional bias to threat allows us to identify potential dangers in our environment quickly but can make us overly sensitive to what we perceive to be threatening cues in our daily life, even when we are relatively safe.

Related Biases

Sources

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  2. Eberhardt, J. L., Goff, P. A., Purdie, V. J., & Davies, P. G. (2004). Seeing Black: Race, crime, and visual processing. Journal of Personality and Social Psychology, 87(6), 876-893. https://doi.org/10.1037/0022-3514.87.6.876
  3. James, L. (2017). The stability of implicit racial bias in police officers. Police Quarterly, 21(1), 30-52. https://doi.org/10.1177/1098611117732974
  4.  Tapper, K., Pothos, E. M. and Lawrence, A. D. (2010). Feast your eyes: hunger and trait reward drive predict attentional bias for food cues. Emotion, 10(6), pp. 949-954. doi: 10.1037/a0020305
  5. Field, M., & Cox, W. (2008). Attentional bias in addictive behaviors: A review of its development, causes, and consequences. Drug and Alcohol Dependence, 97(1-2), 1-20. https://doi.org/10.1016/j.drugalcdep.2008.03.030
  6. Marissen, M. A., Franken, I. H., Waters, A. J., Blanken, P., Van den Brink, W., & Hendriks, V. M. (2006). Attentional bias predicts heroin relapse following treatment. Addiction, 101(9), 1306-1312. https://doi.org/10.1111/j.1360-0443.2006.01498.x
  7. Nummenmaa, L., Hietanen, J. K., Calvo, M. G., & Hyönä, J. (2011). Food catches the eye but not for everyone: A BMI–contingent attentional bias in rapid detection of nutriments. PLoS ONE, 6(5), e19215. https://doi.org/10.1371/journal.pone.0019215
  8. Julian, K., Beard, C., Schmidt, N. B., Powers, M. B., & Smits, J. A. (2012). Attention training to reduce attention bias and social stressor reactivity: An attempt to replicate and extend previous findings. Behaviour Research and Therapy, 50(5), 350-358. https://doi.org/10.1016/j.brat.2012.02.015
  9. Cherry, K. (n.d.). What role do schemas play in the learning process? Verywell Mind. https://www.verywellmind.com/what-is-a-schema-2795873
  10. Disner, S. G., Shumake, J. D., & Beevers, C. G. (2016). Self-referential schemas and attentional bias predict severity and naturalistic course of depression symptoms. Cognition and Emotion, 31(4), 632-644. https://doi.org/10.1080/02699931.2016.1146123
  11. Disner, S. G., Shumake, J. D., & Beevers, C. G. (2016). Self-referential schemas and attentional bias predict severity and naturalistic course of depression symptoms. Cognition and Emotion, 31(4), 632-644. https://doi.org/10.1080/02699931.2016.1146123
  12. Cooper, J. A., Gorlick, M. A., Denny, T., Worthy, D. A., Beevers, C. G., & Maddox, W. T. (2013). Training attention improves decision making in individuals with elevated self-reported depressive symptoms. Cognitive, Affective, & Behavioral Neuroscience, 14(2), 729-741. https://doi.org/10.3758/s13415-013-0220-4
  13. McHugh, R. K., Murray, H. W., Hearon, B. A., Calkins, A. W., & Otto, M. W. (2010). Attentional bias and craving in smokers: The impact of a single attentional training session. Nicotine & Tobacco Research, 12(12), 1261-1264. https://doi.org/10.1093/ntr/ntq171
  14. Williams, J. M., Mathews, A., & MacLeod, C. (1996). The emotional Stroop task and psychopathology. Psychological Bulletin, 120(1), 3-24. https://doi.org/10.1037/0033-2909.120.1.3
  15. De Angelis J., Ricciardelli P. (2017) Emotional Stroop Task. In: Zeigler-Hill V., Shackelford T. (eds) Encyclopedia of Personality and Individual Differences. Springer, Cham
  16. Pavlov, S. V., Korenyok, V. V., Reva, N. V., Tumyalis, A. V., Loktev, K. V., & Aftanas, L. I. (2014). Effects of long-term meditation practice on attentional biases towards emotional faces: An eye-tracking study. Cognition and Emotion, 29(5), 807-815. https://doi.org/10.1080/02699931.2014.945903
  17. Wu, R., Liu, L., Zhu, H., Su, W., Cao, Z., Zhong, S., Liu, X., & Jiang, C. (2019). Brief mindfulness meditation improves emotion processing. Frontiers in Neuroscience, 13. https://doi.org/10.3389/fnins.2019.01074
  18. Begh, R., Munafò, M. R., Shiffman, S., Ferguson, S. G., Nichols, L., Mohammed, M. A., Holder, R. L., Sutton, S., & Aveyard, P. (2013). Attentional bias retraining in cigarette smokers attempting smoking cessation (ARTS): Study protocol for a double blind randomised controlled trial. BMC Public Health, 13(1). https://doi.org/10.1186/1471-2458-13-1176
  19. Carraro, L., Castelli, L., & Macchiella, C. (2011). The automatic conservative: Ideology-based attentional asymmetries in the processing of Valenced information. PLoS ONE, 6(11), e26456. https://doi.org/10.1371/journal.pone.0026456
  20. Shi, R., Sharpe, L., & Abbott, M. (2019). A meta-analysis of the relationship between anxiety and attentional control. Clinical Psychology Review, 72, 101754. https://doi.org/10.1016/j.cpr.2019.101754
  21. Bar-Haim, Y., Lamy, D., & Glickman, S. (2005). Attentional bias in anxiety: a behavioral and ERP study. Brain and cognition, 59(1), 11–22. https://doi.org/10.1016/j.bandc.2005.03.005 
  22. MacLeod, C., Grafton, B., & Notebaert, L. (2019). Anxiety-linked attentional bias: Is it reliable? Annual Review of Clinical Psychology, 15, 529-554. https://doi.org/10.1146/annurev-clinpsy-050718-095505
  23. Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007). Threat-related attentional bias in anxious and nonanxious individuals: A meta-analytic study. Psychological Bulletin, 133(1), 1–24. https://doi.org/10.1037/0033-2909.133.1.1 
  24. Jiang, M. Y. w., & Vartanian, L. R. (2018). A review of existing measures of attentional biases in body image and eating disorders research. Australian Journal of Psychology, 70(1), 3–17. https://doi.org/10.1111/ajpy.12161 
  25. Cisler, J. M., & W. Koster, E. H. (2010). Mechanisms of Attentional Biases towards Threat in the Anxiety Disorders: An Integrative Review. Clinical Psychology Review, 30(2), 203. https://doi.org/10.1016/j.cpr.2009.11.003

About the Authors

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Dan Pilat

Dan is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. Dan has a background in organizational decision making, with a BComm in Decision & Information Systems from McGill University. He has worked on enterprise-level behavioral architecture at TD Securities and BMO Capital Markets, where he advised management on the implementation of systems processing billions of dollars per week. Driven by an appetite for the latest in technology, Dan created a course on business intelligence and lectured at McGill University, and has applied behavioral science to topics such as augmented and virtual reality.

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Dr. Sekoul Krastev

Sekoul is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. A decision scientist with a PhD in Decision Neuroscience from McGill University, Sekoul's work has been featured in peer-reviewed journals and has been presented at conferences around the world. Sekoul previously advised management on innovation and engagement strategy at The Boston Consulting Group as well as on online media strategy at Google. He has a deep interest in the applications of behavioral science to new technology and has published on these topics in places such as the Huffington Post and Strategy & Business.

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