Stephanie J. Kane Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Stephanie J. Kane's research investigates the intersection of psychological states, neural activity, and creative processes. Her work has explored how emotions, such as those experienced by mothers interacting with infants, correlate with mental health outcomes like postpartum depression and anxiety. Kane has also examined the relationship between creativity, willpower, and affect, suggesting that feeling more creative can lead to increased willpower and positive emotions in daily life. Her publications utilize electroencephalography (EEG) to study cortical representations of complexity and preference in visual patterns, including fractal designs. Additionally, she has contributed to discussions on artificial intelligence (AI) and its role in mission planning and personalized learning, drawing from the history of AI. Kane's scholarship metrics include an h-index of 4 and 23 total publications, with 45 total citations. She has collaborated with Darya L. Zabelina, Joshua D. Upshaw, and Jennifer C. Veilleux at the University of Arkansas at Fayetteville.
Metrics
- h-index: 4
- Publications: 23
- Citations: 45
Selected Publications
- A brief online mindfulness induction improves creative art-making (2023) DOI
- Parametric Cortical Representations of Complexity and Preference for Artistic and Computer-Generated Fractal Patterns Revealed by Single-Trial EEG Power Spectral Analysis (2021) DOI
- Mothers’ neural response to valenced infant interactions predicts postpartum depression and anxiety (2021) DOI
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