Results 161 to 170 of about 6,126 (292)

Algorithm aversion revisited: The role of AI literacy and attitudes towards AI in shaping perceptions of AI‐generated texts

British Journal of Educational Technology, EarlyView.
Abstract Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs.
Matthias Carl Laupichler, Nils Knoth, Johannes Schleiss, Tobias Raupach   +3 more
wiley   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

The impact of the overconfidence bias on financial markets

, 2017
Science politiqueLe biais de surconfiance peut-il avoir un impact sur les marchés financiers ? Ceci est un aspect clé des recherches en finance comportementales. Comme le volume de trading, mesuré sur les marchés financiers, est trop élevé en comparaison
Lintz Zoé
core  

Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source

Methodology for investigating moderating relationships in cognitive biases within workplace decision-making. [PDF]

Front Psychol
Ohms B.
europepmc   +1 more source

Standardised Innovation Management Systems: Modelling the Antecedents of Certification and Maintenance Benefits

Creativity and Innovation Management, EarlyView.
ABSTRACT The literature lacks a comprehensive model examining the performance impact of certifying and maintaining standardised innovation management systems (SIMS) or clarifying the advantages of standardisation. This study addresses that gap by analysing the key determinants of the benefits associated with SIMS certification and maintenance.
Carlos J. F. Cândido, Marisa Isabel Silva Cesário, Liana Mendes de Saboya   +2 more
wiley   +1 more source

Adaptability factors and behavioral biases of investors in frontier markets: An adaptive market hypothesis perspective. [PDF]

PLoS One
Jannatunnesa J, Mahdzan NS, Md Noman AH.
europepmc   +1 more source

Can LLMs Simulate Target Users in Visualization Case Studies?

Computer Graphics Forum, EarlyView.
Abstract Case studies are central to evaluating visualization research as they provide evidence for how the developed approaches support real users, real analytical work, and real data. Conducting such studies can be challenging, since target users with relevant domain expertise are often scarce or even entirely unavailable, while the visualization ...
Jena Satkunarajan, Moataz Abdelaal, Steffen Koch, Kuno Kurzhals, Daniel Weiskopf   +4 more
wiley   +1 more source

Metacognition and diagnostic decision-making: short "blips" of knowledge and the consequences of overconfidence. [PDF]

Cogn Res Princ Implic
Hong SS, Son LK, Kim K.
europepmc   +1 more source

Constructed value of information with iterative scoring and parametric uncertainty to identify management‐relevant research priorities for a declining raptor species

Conservation Biology, EarlyView.
Abstract Constructed value of information (CVoI) is an expert elicitation decision‐analytic tool used to prioritize sources of uncertainty based on their potential to improve decision outcomes if resolved. Despite increased application of CVoI, the robustness of CVoI prioritization of sources of uncertainty relative to differences in expert elicitation
Kristin P. Davis, Mitchell J. Eaton, Emily R. Bjerre, Hillary M. White, Clint W. Boal, Jennifer H. Herner‐Thogmartin, Orin J. Robinson, Abigail J. Lawson   +7 more
wiley   +1 more source