Results 231 to 240 of about 179,787 (326)

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

open access: yesJournal 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   +3 more
wiley   +1 more source

Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits

open access: gold
Fatima Shokor   +6 more
openalex   +1 more source

Feedback and Managerial Performance: A Longitudinal Multilevel Field Experiment of Feedback Intervention Theory

open access: yesGlobal Business and Organizational Excellence, EarlyView.
ABSTRACT Feedback interventions play a vital and pervasive role in organizations. However, there is no consensus on how feedback interventions work or why their effectiveness varies over time. This study responds to the call by feedback intervention theorists to engage in primary research in organizational settings. It analyzes the impact of a feedback
Shankar T. Naskar   +1 more
wiley   +1 more source

Estimation of Mean Population in Small Area with Spatial Best Linear Unbiased Prediction Method

open access: gold, 2017
Syahril Ramadhan   +2 more
openalex   +1 more source

Non‐destructive quantification of egg yolk ratio using visible–near‐infrared hyperspectral imaging, machine learning and explainable AI

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Accurate, non‐destructive quantification of egg yolk ratio holds considerable significance for the food industry, nutritional assessment and egg grading. Conventional approaches are limited by destructive testing and insufficient throughput for commercial applications.
Md Wadud Ahmed   +2 more
wiley   +1 more source

Psychological distress across 2 years of the COVID‐19 pandemic differs by age and by race/ethnicity

open access: yesJournal of Traumatic Stress, EarlyView.
Abstract The COVID‐19 pandemic profoundly impacted mental health, with psychological distress varying across age and racial/ethnic groups. This study examined trajectories of five distress measures—symptoms of posttraumatic stress (PTS), anxiety, depression, anger, and somatization—over the first 2 years of the pandemic, adjusting for prepandemic ...
Meghan R. Elliott   +4 more
wiley   +1 more source

Unveiling the Charisma of Artificial Intelligence: How Voice Assistants Captivate Users and Emotionally Influence User Experience

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Although studies have explored user experience (UX) with artificial intelligence (AI)‐powered voice assistants (VAs), the cognitive, psychological, and emotional factors affecting user engagement and experience with VAs have yet to be investigated in depth. Drawing on cognitive absorption and broaden‐and‐build theories, this study investigates
Bibaswan Basu   +2 more
wiley   +1 more source

The transmission ability in a population of elite tetraploid potatoes. [PDF]

open access: yesPlant Genome
Aalborg T   +5 more
europepmc   +1 more source

Empathy, Ethics and Efficacy: The 3Es of Implementing Artificial Intelligence for Consumer Encounters

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Drawing insights from virtue ethics and psychological perspectives on empathy, we propose a framework for integrating empathy, ethics, and efficacy (3E) to guide the responsible development and deployment of artificial intelligence (AI) technologies in consumer service encounters.
Kyoko Fukukawa, Rohit H. Trivedi
wiley   +1 more source

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