S
Stephanie Kane Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
4 h-index
23 pubs
45 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Stephanie Kane's research investigates the intersection of cognitive processes, emotions, and mental well-being, with a particular focus on creativity, willpower, and affective states. Her work has explored the neural underpinnings of emotional responses, utilizing magnetic resonance imaging (MRI) and electroencephalography (EEG) to examine brain activity. Studies have investigated how mothers' neural responses to infant interactions can predict postpartum depression and anxiety. Kane has also examined the relationship between creativity and willpower, finding that feeling more creative can lead to increased willpower and positive affect. Her research has also touched upon the application of artificial intelligence in mission planning and personalized learning, as well as the role of mindfulness in enhancing creative art-making. Kane holds an h-index of 3 with 23 total publications and 43 citations.
Metrics
- h-index: 4
- Publications: 23
- Citations: 45
Selected Publications
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A brief online mindfulness induction improves creative art-making (2023)
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Parametric Cortical Representations of Complexity and Preference for Artistic and Computer-Generated Fractal Patterns Revealed by Single-Trial EEG Power Spectral Analysis (2021)
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Mothers’ neural response to valenced infant interactions predicts postpartum depression and anxiety (2021)
Collaboration Network
Top Collaborators
Scott M. Martin
4 shared publications
- History of Artificial Intelligence and Personalized Learning
- Teaching and Learning Computer-Intelligent Games
- Artificial Intelligence Applied to Teaching and Learning
- Personalized Learning Game Design Pedagogy
James R. Casey
4 shared publications
- History of Artificial Intelligence and Personalized Learning
- Teaching and Learning Computer-Intelligent Games
- Artificial Intelligence Applied to Teaching and Learning
- Personalized Learning Game Design Pedagogy
Megan Finnegan
University of Illinois Urbana-Champaign (US)
1 shared publication
- Mothers’ neural response to valenced infant interactions predicts postpartum depression and anxiety
Wendy Heller
University of Illinois Urbana-Champaign (US)
1 shared publication
- Mothers’ neural response to valenced infant interactions predicts postpartum depression and anxiety
Heidemarie K. Laurent
University of Illinois Urbana-Champaign (US)
1 shared publication
- Mothers’ neural response to valenced infant interactions predicts postpartum depression and anxiety
Eric Rawls
University of Minnesota (US)
1 shared publication
- Parametric Cortical Representations of Complexity and Preference for Artistic and Computer-Generated Fractal Patterns Revealed by Single-Trial EEG Power Spectral Analysis
Rebecca White
University of New Hampshire (US)
1 shared publication
- Parametric Cortical Representations of Complexity and Preference for Artistic and Computer-Generated Fractal Patterns Revealed by Single-Trial EEG Power Spectral Analysis
Carl E. Stevens
University of Arkansas at Fayetteville (US)
1 shared publication
- Parametric Cortical Representations of Complexity and Preference for Artistic and Computer-Generated Fractal Patterns Revealed by Single-Trial EEG Power Spectral Analysis
Darya L. Zabelina
University of Arkansas at Fayetteville
1 shared publication
In database
- Parametric Cortical Representations of Complexity and Preference for Artistic and Computer-Generated Fractal Patterns Revealed by Single-Trial EEG Power Spectral Analysis
Nicolette McGeorge
Charles River Analytics (United States) (US)
1 shared publication
- Design and Development of a Prototype Heads-Up Display: Supporting Context-Aware, Semi-Automated, Hands-Free Medical Documentation
Susan Latiff
Charles River Analytics (United States) (US)
1 shared publication
- Design and Development of a Prototype Heads-Up Display: Supporting Context-Aware, Semi-Automated, Hands-Free Medical Documentation
Christopher Muller
Charles River Analytics (United States) (US)
1 shared publication
- Design and Development of a Prototype Heads-Up Display: Supporting Context-Aware, Semi-Automated, Hands-Free Medical Documentation
Lucas Dong
Charles River Analytics (United States) (US)
1 shared publication
- Design and Development of a Prototype Heads-Up Display: Supporting Context-Aware, Semi-Automated, Hands-Free Medical Documentation
Ceara Chewning
Charles River Analytics (United States) (US)
1 shared publication
- Design and Development of a Prototype Heads-Up Display: Supporting Context-Aware, Semi-Automated, Hands-Free Medical Documentation
Daniela Friedson-Trujillo
Charles River Analytics (United States) (US)
1 shared publication
- Design and Development of a Prototype Heads-Up Display: Supporting Context-Aware, Semi-Automated, Hands-Free Medical Documentation
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