Results 221 to 230 of about 39,034 (275)

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Revisiting the Plausibility Effect in Remembering Truth and Falsity: An Analysis of Underlying Memory and Guessing Processes. [PDF]

J Cogn
Ford D, Nadarevic L.
europepmc   +1 more source

Delays reduce culprit-presence detection but do not affect guessing-based selection in response to lineups. [PDF]

Sci Rep
Therre A, Bell R, Menne NM, Mayer C, Lichtenhagen U, Buchner A.   +5 more
europepmc   +1 more source

A Multimodal Adaptive Framework for Social Interaction with the MiRo-E Robot. [PDF]

Sensors (Basel)
Yang Y, Yap PS, Wijeakumar S, Magassouba A, Deshpande N.   +4 more
europepmc   +1 more source

GS-Chaff: Multi-Agent Prompt-Level Semantic Chaffing for Privacy-Preserving LLM Inference. [PDF]

Sensors (Basel)
Zhou Q, Wang Z, Yue Z, Cai L, Liu K, Qin C.   +5 more
europepmc   +1 more source

A comparison of free-response and multiple-choice questions on the American Board of Pathology primary certification examinations. [PDF]

Acad Pathol
Procop GW, McCarthy T, Schlinsog A, Ghofrani M.   +3 more
europepmc   +1 more source

Stern Zero-Knowledge Identification Protocol Based on Lee Distance. [PDF]

Entropy (Basel)
Liu B, Su X, Yan B, Liu A.
europepmc   +1 more source

Predicting Deprescribing of High-Risk Medications Using Provider EHR Use and Patient Characteristics

Gu B, Jungo KT, Lauffenburger JC, Choudhry NK, Isaac T, Zambrano J, Yang J.   +6 more
europepmc   +1 more source

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Guessing a Tuple

2021 IEEE International Symposium on Information Theory (ISIT), 2021
A single-letter expression is provided for the exponential growth rate of the least expected number of guesses required to recover all the sequences produced by correlated memoryless sources when each guess is of a single source sequence, with the source at the guesser's discretion.
Robert Graczyk, Amos Lapidoth, Yiming Yan   +2 more
openaire   +1 more source