Simone A Luchini
Biographic Data
| ID | 4640732 |
|---|---|
| NAME | Simone A Luchini |
| GIVEN NAMES | Simone A |
| FAMILY NAME | Luchini |
| SIGNATURE | LUCHINI S A |
| AFFILIATIONS | Pennsylvania State University |
| ORCID | 0000-0001-8027-8528 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Tracking Divergent Thinking
Automated Scoring of Question Complexity with Transformer Language Models
Introduces two automated transformer models for assessing cognitive question complexity: high-performing LLaMA 2 and efficient, robust RoBERTa. • These fine-tuned transformer language models greatly outperform surface-based and semantic-distance baselines. • Both models predict open-ended question complexity and align strongly with human ratings. • Introduces PrediQT , a free web app for automated question-complexity scoring. • Bridges creativity…
Automated assessment of creativity in multilingual narratives
Researchers and educators interested in creative writing need a reliable and efficient tool to score the creativity of narratives, such as short stories. Typically, human raters manually assess narrative creativity, but such subjective scoring is limited by labor costs and rater disagreement. Large language models (LLMs) have shown remarkable success on creativity tasks, yet they have not been applied to scoring narratives, including multilingual…
The Scientific Creative Thinking Test (SCTT)
Creative thinking is a primary driver of innovation in science, technology, engineering, and math (STEM), allowing students and practitioners to generate novel hypotheses, flexibly connect information from diverse sources, and solve ill-defined problems. To foster creativity in STEM education, there is a crucial need for assessment tools for measuring STEM creativity that educators and researchers can apply to test how different teaching approach…
The white matter of Aha! moments
Insights, or "Aha!" moments, are a crucial aspect of idea generation in creative cognition. While functional neuroimaging studies have identified brain regions involved in these insights, their white matter substrate remains unexplored. This study employed diffusion tensor imaging (DTI) to investigate how white matter microstructure—measured by fractional anisotropy (FA) and mean diffusivity (MD)—relates to individuals’ tendency to solve Compound…
Free association ability distinguishes highly creative artists from scientists
The associative theory posits that creativity relates to people's ability to connect remote associations to form new ideas, based on the structure of their semantic memory.This theory has spurred several recent studies connecting semantic memory structure and associative thinking to creativity, capitalizing on advances in computational methods.To date, however, this research has almost exclusively focused on assessing creativity in the general po…
Automated scoring of creative problem solving with large language models
https://psycnet.apa.org/doi/10.1037/aca0000736
A ‘Sweet Spot’ for Creative Ideation
Creativity researchers have recently sought to standardize idea assessment via computational measures of semantic distance: the degree of conceptual dissimilarity between words. The relationship between semantic distance and creativity has traditionally been described using linear models, with the embedded assumption that as semantic distance increases, so does the creative quality of ideas. However, informal observations would suggest that dista…
Accelerating Creativity
Transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex (DLPFC) has been shown to enhance divergent and convergent creative thinking. Yet, how stimulation impacts creative performance over time, and what cognitive mechanisms underlie any such enhancement, remain largely unanswered questions. In the present research, we aimed to (1) verify the impact of DLPFC tDCS on both convergent and divergent thinking, and furthe…
Automated Creativity Prediction Using Natural Language Processing and Resting-State Functional Connectivity
Evidence from fMRI research indicates that individual creative thinking ability – defined as performance on divergent thinking tasks, subjectively assessed by human raters – can be predicted based on the strength of functional connectivity (FC) between the brain’s default mode network (DMN) and frontoparietal control network (FPCN). Here, we sought to replicate and extend these findings in two ways: 1) using a natural language processing method t…
No prominent works on this page.
Automated Creativity Prediction Using Natural Language Processing and Resting-State Functional Connectivity
Evidence from fMRI research indicates that individual creative thinking ability – defined as performance on divergent thinking tasks, subjectively assessed by human raters – can be predicted based on the strength of functional connectivity (FC) between the brain’s default mode network (DMN) and frontoparietal control network (FPCN). Here, we sought to replicate and extend these findings in two ways: 1) using a natural language processing method t…
Accelerating Creativity
Transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex (DLPFC) has been shown to enhance divergent and convergent creative thinking. Yet, how stimulation impacts creative performance over time, and what cognitive mechanisms underlie any such enhancement, remain largely unanswered questions. In the present research, we aimed to (1) verify the impact of DLPFC tDCS on both convergent and divergent thinking, and furthe…
Free association ability distinguishes highly creative artists from scientists
The associative theory posits that creativity relates to people's ability to connect remote associations to form new ideas, based on the structure of their semantic memory.This theory has spurred several recent studies connecting semantic memory structure and associative thinking to creativity, capitalizing on advances in computational methods.To date, however, this research has almost exclusively focused on assessing creativity in the general po…
Automated scoring of creative problem solving with large language models
https://psycnet.apa.org/doi/10.1037/aca0000736
A ‘Sweet Spot’ for Creative Ideation
Creativity researchers have recently sought to standardize idea assessment via computational measures of semantic distance: the degree of conceptual dissimilarity between words. The relationship between semantic distance and creativity has traditionally been described using linear models, with the embedded assumption that as semantic distance increases, so does the creative quality of ideas. However, informal observations would suggest that dista…
Tracking Divergent Thinking
Automated Scoring of Question Complexity with Transformer Language Models
Introduces two automated transformer models for assessing cognitive question complexity: high-performing LLaMA 2 and efficient, robust RoBERTa. • These fine-tuned transformer language models greatly outperform surface-based and semantic-distance baselines. • Both models predict open-ended question complexity and align strongly with human ratings. • Introduces PrediQT , a free web app for automated question-complexity scoring. • Bridges creativity…
Automated assessment of creativity in multilingual narratives
Researchers and educators interested in creative writing need a reliable and efficient tool to score the creativity of narratives, such as short stories. Typically, human raters manually assess narrative creativity, but such subjective scoring is limited by labor costs and rater disagreement. Large language models (LLMs) have shown remarkable success on creativity tasks, yet they have not been applied to scoring narratives, including multilingual…
The Scientific Creative Thinking Test (SCTT)
Creative thinking is a primary driver of innovation in science, technology, engineering, and math (STEM), allowing students and practitioners to generate novel hypotheses, flexibly connect information from diverse sources, and solve ill-defined problems. To foster creativity in STEM education, there is a crucial need for assessment tools for measuring STEM creativity that educators and researchers can apply to test how different teaching approach…
The white matter of Aha! moments
Insights, or "Aha!" moments, are a crucial aspect of idea generation in creative cognition. While functional neuroimaging studies have identified brain regions involved in these insights, their white matter substrate remains unexplored. This study employed diffusion tensor imaging (DTI) to investigate how white matter microstructure—measured by fractional anisotropy (FA) and mean diffusivity (MD)—relates to individuals’ tendency to solve Compound…
Creativity in Education and Neuroscience (10 works) · Creativity (7 works) · Psychology (6 works) · Social Psychology (6 works) · Cognitive psychology (5 works) · Cognition (4 works) · Aesthetic Perception and Analysis (3 works) · Cognitive science (3 works) · Computer Science (3 works) · Artificial Intelligence (2 works)