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Daniel G Goldstein

Biographic Data

ID134472
NAMEDaniel G Goldstein
GIVEN NAMESDaniel G
FAMILY NAMEGoldstein
SIGNATUREGOLDSTEIN D G
AFFILIATIONSMicrosoft (United States)
ORCID0000-0002-0970-5598
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS10
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR1996
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Effects of LLM use and note-taking on reading comprehension and memory

    Open Access•Pia Kreijkes, Viktor Kewenig et al.•ARTICLE•Computers & Education•2026

    Students' rapid uptake of Generative Artificial Intelligence tools, particularly large language models (LLMs), raises urgent questions about their effects on learning. We compared the impact of LLM use to that of traditional note-taking, or a combination of both, on secondary school students' reading comprehension and retention. We conducted a pre-registered, randomised controlled experiment with within- and between-participant design elements in…

  • Beyond nudges

    Open Access•E Johnson, Eric J Johnson et al.•ARTICLE•Marketing Letters•2012

  • Heuristics

    Daniel G Goldstein, Dan Goldstein et al.•CHAPTER•The Oxford handbook of analytical…•2011

    This article examines the role of heuristics in driving social action, focusing on the simple heuristics that people use in their everyday lives: the Recognition Heuristic and the Take-the-best Heuristic. It first describes recognition-based inference and knowledge-based inference before discussing how fast-and-frugal heuristics are being employed as models of both individual and group decision-making. It then describes social heuristics, with pa…

  • Increasing Saving Behavior Through Age-Progressed Renderings of the Future Self

    Open Access•Hal E Hershfield, Daniel G Goldstein et al.•ARTICLE•Journal of Marketing Research•2011

    Many people fail to save what they will need for retirement. Research on excessive discounting of the future suggests that removing the lure of immediate rewards by precommitting to decisions or elaborating the value of future rewards both can make decisions more future oriented. The authors explore a third and complementary route, one that deals not with present and future rewards but with present and future selves. In line with research that sh…

  • Choosing Outcomes versus Choosing Products

    Daniel G Goldstein, E Johnson et al.•ARTICLE•Journal of Consumer Research•2008•Cited by: 2•References: 36

    Investing for retirement is one of the most consequential yet daunting decisions consumers face. We present a way to both aid and understand consumers as they construct preferences for retirement income. The method enables consumers to build desired probability distributions of wealth constrained by market forces and the amount invested. We collect desired wealth distributions from a sample of working adults, provide evidence of the technique's r…

  • Framing Effects in Younger and Older Adults

    S KIM, D Goldstein et al.•ARTICLE•The Journals of Gerontology…•2005•Cited by: 8•References: 3

    A growing literature on decision making in older adults suggests that they are more likely to use heuristic processing than are younger adults. We assessed this tendency in the context of a framing effect, a decision-making phenomenon whereby the language used to describe options greatly influences the decision maker's choice. We compared decision making under a standard ("heuristic") condition and also under a "justification" condition known to …

  • Models of ecological rationality

    Daniel G Goldstein, Gerd Gigerenzer•ARTICLE•Psychological Review•2002

    One view of heuristics is that they are imperfect versions of optimal statistical procedures considered too complicated for ordinary minds to carry out. In contrast, the authors consider heuristics to be adaptive strategies that evolved in tandem with fundamental psychological mechanisms. The recognition heuristic, arguably the most frugal of all heuristics, makes inferences from patterns of missing knowledge. This heuristic exploits a fundamenta…

  • Reasoning the fast and frugal way

    Gerd Gigerenzer, Daniel G Goldstein•ARTICLE•Psychological Review•1996

    Humans and animals make inferences about the world under limited time and knowledge. In contrast, many models of rational inference treat the mind as a Laplacean Demon, equipped with unlimited time, knowledge, and computational might. Following H. Simon's notion of satisfying, the authors have proposed a family of algorithms based on a simple psychological mechanism: one-reason decision making. These fast and frugal algorithms violate fundamental…

  • Framing Effects in Younger and Older Adults

    S KIM, D Goldstein et al.•ARTICLE•The Journals of Gerontology…•2005•Cited by: 8•References: 3

    A growing literature on decision making in older adults suggests that they are more likely to use heuristic processing than are younger adults. We assessed this tendency in the context of a framing effect, a decision-making phenomenon whereby the language used to describe options greatly influences the decision maker's choice. We compared decision making under a standard ("heuristic") condition and also under a "justification" condition known to …

  • Choosing Outcomes versus Choosing Products

    Daniel G Goldstein, E Johnson et al.•ARTICLE•Journal of Consumer Research•2008•Cited by: 2•References: 36

    Investing for retirement is one of the most consequential yet daunting decisions consumers face. We present a way to both aid and understand consumers as they construct preferences for retirement income. The method enables consumers to build desired probability distributions of wealth constrained by market forces and the amount invested. We collect desired wealth distributions from a sample of working adults, provide evidence of the technique's r…

  • Reasoning the fast and frugal way

    Gerd Gigerenzer, Daniel G Goldstein•ARTICLE•Psychological Review•1996

    Humans and animals make inferences about the world under limited time and knowledge. In contrast, many models of rational inference treat the mind as a Laplacean Demon, equipped with unlimited time, knowledge, and computational might. Following H. Simon's notion of satisfying, the authors have proposed a family of algorithms based on a simple psychological mechanism: one-reason decision making. These fast and frugal algorithms violate fundamental…

  • Models of ecological rationality

    Daniel G Goldstein, Gerd Gigerenzer•ARTICLE•Psychological Review•2002

    One view of heuristics is that they are imperfect versions of optimal statistical procedures considered too complicated for ordinary minds to carry out. In contrast, the authors consider heuristics to be adaptive strategies that evolved in tandem with fundamental psychological mechanisms. The recognition heuristic, arguably the most frugal of all heuristics, makes inferences from patterns of missing knowledge. This heuristic exploits a fundamenta…

  • Framing Effects in Younger and Older Adults

    S KIM, D Goldstein et al.•ARTICLE•The Journals of Gerontology…•2005•Cited by: 8•References: 3

    A growing literature on decision making in older adults suggests that they are more likely to use heuristic processing than are younger adults. We assessed this tendency in the context of a framing effect, a decision-making phenomenon whereby the language used to describe options greatly influences the decision maker's choice. We compared decision making under a standard ("heuristic") condition and also under a "justification" condition known to …

  • Choosing Outcomes versus Choosing Products

    Daniel G Goldstein, E Johnson et al.•ARTICLE•Journal of Consumer Research•2008•Cited by: 2•References: 36

    Investing for retirement is one of the most consequential yet daunting decisions consumers face. We present a way to both aid and understand consumers as they construct preferences for retirement income. The method enables consumers to build desired probability distributions of wealth constrained by market forces and the amount invested. We collect desired wealth distributions from a sample of working adults, provide evidence of the technique's r…

  • Heuristics

    Daniel G Goldstein, Dan Goldstein et al.•CHAPTER•The Oxford handbook of analytical…•2011

    This article examines the role of heuristics in driving social action, focusing on the simple heuristics that people use in their everyday lives: the Recognition Heuristic and the Take-the-best Heuristic. It first describes recognition-based inference and knowledge-based inference before discussing how fast-and-frugal heuristics are being employed as models of both individual and group decision-making. It then describes social heuristics, with pa…

  • Increasing Saving Behavior Through Age-Progressed Renderings of the Future Self

    Open Access•Hal E Hershfield, Daniel G Goldstein et al.•ARTICLE•Journal of Marketing Research•2011

    Many people fail to save what they will need for retirement. Research on excessive discounting of the future suggests that removing the lure of immediate rewards by precommitting to decisions or elaborating the value of future rewards both can make decisions more future oriented. The authors explore a third and complementary route, one that deals not with present and future rewards but with present and future selves. In line with research that sh…

  • Beyond nudges

    Open Access•E Johnson, Eric J Johnson et al.•ARTICLE•Marketing Letters•2012

  • Effects of LLM use and note-taking on reading comprehension and memory

    Open Access•Pia Kreijkes, Viktor Kewenig et al.•ARTICLE•Computers & Education•2026

    Students' rapid uptake of Generative Artificial Intelligence tools, particularly large language models (LLMs), raises urgent questions about their effects on learning. We compared the impact of LLM use to that of traditional note-taking, or a combination of both, on secondary school students' reading comprehension and retention. We conducted a pre-registered, randomised controlled experiment with within- and between-participant design elements in…

Computer Science (6 works) · Decision-Making and Behavioral Economics (6 works) · Psychology (6 works) · Artificial Intelligence (3 works) · Epistemology (3 works) · Machine learning (3 works) · Aging and Gerontology Research (2 works) · Business (2 works) · Cognition (2 works) · Complex Systems and Decision Making (2 works)

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