Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Daniel G. Goldstein"'
Publikováno v:
Judgment and Decision Making, Vol 16, Pp 1439-1463 (2021)
Many popular books and articles that purport to explain how people, companies, or ideas succeed highlight a few successes chosen to fit a particular narrative. We investigate what effect these highly selected “success narratives” have on readers
Externí odkaz:
https://doaj.org/article/0fe14391bd564748b87ccc0c60cf78ec
Autor:
Daniel G. Goldstein, David Rothschild
Publikováno v:
Judgment and Decision Making, Vol 9, Pp 1-14 (2014)
How accurate are laypeople’s intuitions about probability distributions of events? The economic and psychological literatures provide opposing answers. A classical economic view assumes that ordinary decision makers consult perfect expectations, wh
Externí odkaz:
https://doaj.org/article/645158d41b884f659e5c33309c7a2671
Publikováno v:
Judgment and Decision Making, Vol 6, Pp 392-395 (2011)
The advantage of models that do not use flexible parameters is that one can precisely show to what degree they predict behavior, and in what situations. In three issues of this journal, the recognition heuristic has been examined carefully from many
Externí odkaz:
https://doaj.org/article/2cc6ff686b564734873d81839bc59240
Publikováno v:
Judgment and Decision Making, Vol 6, Pp 100-121 (2011)
The recognition heuristic exploits the basic psychological capacity for recognition in order to make inferences about unknown quantities in the world. In this article, we review and clarify issues that emerged from our initial work (Goldstein & Giger
Externí odkaz:
https://doaj.org/article/f780490552314a438746a9b0f9abec46
Publikováno v:
Frontiers in Psychology, Vol 2 (2011)
The recognition heuristic is a prime example of how, by exploiting a match between mind and environment, a simple mental strategy can lead to efficient decision making. The proposal of the heuristic initiated a debate about the processes underlying t
Externí odkaz:
https://doaj.org/article/7f9bd95263174d1cb386e91853877b29
Publikováno v:
Digital Threats: Research and Practice. 3:1-18
An increasing number of data-driven decision aids are being developed to provide humans with advice to improve decision-making around important issues such as personal health and criminal justice. For algorithmic systems to support human decision-mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c459ed331bcf902763f76a9b17a0ef4
https://doi.org/10.1145/3488307
https://doi.org/10.1145/3488307
Autor:
Barnabas Szaszi, anthony higney, Aaron Charlton, andrew gelman, Ignazio Ziano, Balazs Aczel, Daniel G Goldstein, David Scott Yeager, Elizabeth Tipton
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Changing individuals’ behavior is key to tackling some of today’s most pressing societal challenges such as the COVID-19 pandemic or climate change. Choice architecture interventions aim to nudge people toward personally and socially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08a8ab517ecb419d6d11bbcc82360d33
https://pubmed.ncbi.nlm.nih.gov/34983836
https://pubmed.ncbi.nlm.nih.gov/34983836
Autor:
Forough Poursabzi-Sangdeh, Naomi Moreira, Roymil Terrero, Ling Liang Dong, Brenda Fried, Etta Rapp, Daniel G. Goldstein, Jennifer D. Allen, Adnan Hoq, Jake M. Hofman, Harpreet Gaur, Sercan Sen, Cindy Muso, Emeka Mbazor
Publikováno v:
Organizational Behavior and Human Decision Processes. 164:192-202
In recent years, researchers in several scientific disciplines have become concerned with published studies replicating less often than expected. A positive side effect of this concern is an appreciation that replicating other researchers’ work is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb55f0c59288523d48b79eeebc333c04
https://doi.org/10.1016/j.obhdp.2020.11.003
https://doi.org/10.1016/j.obhdp.2020.11.003
Autor:
Daniel G. Goldstein
Publikováno v:
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society ISBN: 9781315782416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04896b5a769039cb7db569e0c6a5fc86
https://doi.org/10.4324/9781315782416-80
https://doi.org/10.4324/9781315782416-80
Autor:
Sam Zhang, Patrick Ryan Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G Goldstein, Jake M. Hofman
Traditionally, scientists have placed more emphasis on communicating inferential uncertainty (i.e., the precision of statistical estimates) compared to outcome variability (i.e., the predictability of individual outcomes). Here we show that this can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c99dd1780eadb3d5fd5e670644306a67
https://doi.org/10.31235/osf.io/5tcgs
https://doi.org/10.31235/osf.io/5tcgs