Publications
Tiede, K. E., Ripke, F., Degen, N., & Gaissmaier, W. (2020). When does the incremental risk format aid informed medical decisions? The role of learning, feedback, and number of treatment options. Medical Decision Making, 40, 212–221. https://doi.org/10.1177/0272989X20904357
Laland KN, Toyokawa W and Oudman T. (2019) Animal Learning as a Source of Developmental Bias. Evolution and Development. https://doi.org/10.1111/ede.12311
Kim H, Toyokawa W & Kameda T. (2019). How do we decide when (not) to free-ride? Risk tolerance predicts adaptation of cooperation levels in new settings. Evolution and Human Behavior, 40: 55-64. doi:10.1016/j.evolhumbehav.2018.08.001
Toyokawa W, Whalen A and Laland KN. (2019). Social learning strategies regulate the wisdom and madness of interactive crowds. Nature Human Behaviour, 3: 183-193. doi:10.1038/s41562-018-0518-x .
Giese, H., Neth, H., Moussaïd, M., Betsch, C., & Gaissmaier, W. (2019). The echo in flu-vaccination echo chambers: Selective attention trumps social influence. Vaccine. [Available online 18 December 2019] doi: 10.1016/j.vaccine.2019.11.03
Peters, E., Fennema, M. G., & Tiede, K. E. (2019). The loss-bet paradox: Actuaries, accountants, and other numerate people rate numerically inferior gambles as superior. Journal of Behavioral Decision Making, 32, 15–29. https://doi.org/10.1002/bdm.2085
Neth H, Gradwohl N (2019). unikn: Graphical elements of the University of Konstanz's corporate design. Social Psychology and Decision Sciences, University of Konstanz, Konstanz, Germany. R package (version 0.2.0, September 25, 2019), https://CRAN.R-project.org/package=unikn.
Elschner, Sophie G., Hübner, R., Dambacher, M. (2018). Do fluency-induced pupillary responses reflect aesthetic affect? Psychology of Aesthetics, Creativity, and the Arts. 12 (3), pp. 294-303.
doi: 10.1037/aca0000139
Gaissmaier, W., Giese, H., Galesic, M., Garcia-Retamero, R., Kasper, J., ... Heesen, C. (2018). Numeracy of multiple sclerosis patients: A comparison of patients from the PERCEPT study to a German probabilistic sample. Patient Education and Counseling, 101(1), 74–78 doi: 10.1016/j.pec.2017.07.018
Muthukrishna M, Henrich J, Toyakawa W, Hamamura T, Kameda T, & Heine S J. (2018). Overconfidence is Universal? Elicitation of Genuine Overconfidence (Ego) Method Reveals Systematic Differences Across Domain, Task Knowledge, and Incentives in Four Populations. PLoS ONE, 13(8): e0202288. doi: 10.1371/journal.pone.0202288
Giese, H., Stok, F.M., & Renner, B. (2018). Perceiving College Peers' Alcohol Consumption: Temporal Patterns and Individual Differences in Overestimation. Psychology & Health. Advanced online pulication. doi: 10.1080/08870446.2018.1514118
Neth, H., Gaisbauer, F., Gradwohl, N., & Gaissmaier, W. (2018). riskyr: A toolbox for rendering risk literacy more transparent. Social Psychology and Decision Sciences, University of Konstanz, Germany. Computer software (R package version 0.2.0, Dec. 20, 2018). Retrieved from https://CRAN.R-project.org/package=riskyr.
König, L. M., Giese, H., Stok, F. M., & Renner, B. (2017). The social image of food: Associations between popularity and eating behavior. Appetite, 114, 248–258.
doi: 10.1016/j.appet.2017.03.039
Phillips, N. D., Neth, H., Woike, J. K. & Gaissmaier, W. (2017). FFTrees: A toolbox to create, visualize, and evaluate fast-and-frugal decision trees. Judgment and Decision Making, 12 (4), 344–368.
Mousavi, S., Meder, B., Neth, H., & Kheirandish, R. (2017). Heuristics: Fast, frugal, and smart. In Morris Altman (Ed.), Handbook of behavioral economics and smart decision-making: Rational decision-making within the bounds of reason (pp. 101–118). Cheltenham, UK: Edward Elgar Publishing.
Toyokawa W. (2017). Scrounging by foragers can resolve the paradox of enrichment. Royal Society Open Science, 4: 160830. doi:10.1098/rsos.160830
Giese, H., Stok, F.M., Renner, B. (2017). The role of friendship reciprocity in college freshmen’s alcohol consumption. Applied Psychology: Health and Well-Being, 9(1), 228-241.
doi:10.1111/aphw.12088
Veksler, B. Z., Boyd, R., Myers, C. W., Gunzelmann, G., Neth, H., & Gray, W. D. (2017). Visual working memory resources are best characterized as dynamic, quantifiable mnemonic traces. Topics in Cognitive Science, 9, 83–101. doi: 10.1111/tops.12248
Neth, H., & Gaissmaier, W. (2017). Warum erfolgreiche Prognosen einfach und unsicher sind. Von der Wahl des richtigen Werkzeugs für Wähler und die Wahlforschung. Zeitschrift für Politikwissenschaft, 27 (2), 205–220. doi: 10.1007/s41358-017-0100-5
Galesic, M., Kause, A., & Gaissmaier, W. (2016). A sampling framework for uncertainty in individual environmental decisions. Topics in Cognitive Science, 8, 242-258. doi: 10.1111/tops.12172