Publications

Betsch, C.*, Haase, N.*, Renkewitz, F., & Schmid, P. (2015). The narrative bias revisited: What drives the biasing influence of narrative information on risk perceptions? Judgment and Decision Making, 10(3), 241-264. (*shared first authorship)

Multmeier, J., Gaissmaier, W., & Wegwarth, O. (2014). Collective statistical illiteracy in health.  In B. L. Anderson & J. Schulkin (Eds.), Numerical Reasoning in Judgments and Decision Making About Health (pp. 39–58).  Cambridge, UK: Cambridge University Press.

Neth, H., Engelmann, N., & Mayrhofer, R. (2014).  Foraging for alternatives: Ecological rationality in keeping options viable.  In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.),  Proceedings of the 34th Annual Meeting of the Cognitive Science Society (pp. 1078–1083).  Austin, TX: Cognitive Science Society.

Neth, H., Meder, B., Kothiyal, A. & Gigerenzer, G. (2014). Homo heuristicus in the financial world: From risk management to managing uncertainty. Journal of Risk Management in Financial Institutions, 7(2), 134–144. 

Gaissmaier, W., Anderson, B. L., & Schulkin, J. (2014).  How do physicians provide statistical information about antidepressants to hypothetical patients? Medical Decision Making34, 206–215. doi: 10.1007/978-3-658-07796-9_2

Kause, A., Prinz, R., Gaissmaier, W., & Wegwarth, O. (2014).  Risikokompetenz von Ärzten und Patienten.  In K. Hurrelmann & E. Baumann (Eds.),  Handbuch Gesundheitskommunikation (pp. 424–439).  Bern: Huber.

Phillips, N. D., Hertwig, R., Kareev, J. & Avrahami, J. (2014). Rivals in the dark: How competition influences search in decisions under uncertainty. Cognition, 113 (1), 104–119.  

Kämmer, J. E., Gaissmaier, W., Reimer, T., & Schermuly, C. C. (2014).  The adaptive use of recognition in group decision making.  Cognitive Science38, 911–942. doi: 10.1111/cogs.12110

Norman, G., Sherbino, J., Dore, K., Wood, T., Young, M., Gaissmaier, W., Kreuger, S., & Monteiro, S. (2014).  The etiology of diagnostic errors: A controlled trial of system 1 versus system 2 reasoning. Academic Medicine89, 277–284. 

Neth, H. (2014). Warum Controller auf Heuristiken setzen sollten. Controlling & Management Review, 58(3), 22–28. 

Neth, H. (2014).  Wenn weniger mehr ist: Das Potenzial einfacher Heuristiken in Controlling und Management Reporting.  In A. Klein & J. Gräf (Eds.), Reporting und Business Intelligence (2nd ed., pp. 43–57).  Freiburg: Haufe Verlag. 

Gonzàlez-Vallejo, C., Cheng, J., Phillips, N. D., Chimeli, J., Bellezza, F., Harman, J., Lassiter, G. D., & Lindberg, M. J. (2013). Early positive information impacts final evaluations: No deliberation-without-attention effect and a test of a dynamic judgment model. Journal of Behavioral Decision Making, 27(3), 209–225.

Betsch, C., Renkewitz, F., & Haase, N. (2013). Effect of narrative reports about vaccine adverse events and bias-awareness disclaimers on vaccine decisions: A simulation of an online patient social network. Medical Decision Making, 33(1), 14-25. 

Morais, A. S., Neth, H., & Hills, T. T. (2013).  How healthy aging and dementia impact memory search.  In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Cooperative minds: Social interaction and group dynamics. Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 3104–3109).  Austin, TX: Cognitive Science Society.

Sherbino, J., Norman, G. R., & Gaissmaier, W. (2013). In reply to Croskerry and Tait. Academic Medicine88, 150–151.

Giese, H., Juhász, R., Schupp, H., & Renner, B. (2013). Kann man Popularität und Freundschaft essen? Der Zusammenhang zwischen wahrgenommener Ernährung populärer und sympathischer Kinder und dem eigenen Ernährungsverhalten von Kindern. [Can you eat popularity and friendship? The relationship between the perceived eating behavior of popular and likable children and the individual eating behavior of children] Zeitschrift Für Gesundheitspsychologie, 21 (2), 71–81

Neth, H., Czienskowski, U., Schooler, L. J., & Gluck, K. (2013).  Making robust classification decisions: Constructing and evaluating Fast and Frugal Trees (FFTs).  In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.),  Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 43–44). Austin, TX: Cognitive Science Society.

Sims, C. R., Neth, H., Jacobs, R. A., & Gray, W. D. (2013).  Melioration as rational choice: Sequential decision making in uncertain environments.  Psychological Review, 120, 139–154.

Treverna, L. J., Zikmund-Fisher, B. J., Edwards, A., Gaissmaier, W., Galesic, M., Han, P. K. J., King, J., Lawson, M. L., Linder, S. K., Lipkus, I., Ozanne, E., Peters, E., Timmermans, D., & Woloshin, S. (2013). Presenting quantitative information about decision outcomes: A risk communication primer for patient decision aid developers. BMC Medical Informatics and Decision Making13(Suppl. 2):S7, 15

Heesen, C., Gaissmaier, W., Nguyen, F., Stellmann, J.-P., Kasper, J., Köpke, S., Lederer, C., Neuhaus, A., & Daumer, M. (2013).  Prognostic risk estimates of patients with Multiple Sclerosis and their physicians: Comparison to an online analytical risk counseling tool. PLoS ONE8(5):e59042