Surabhi S. Nath

dblp:233/8152 · DBLP profile ↗
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6ranked-venue papers
3as first author
6since 2021 · last 2025
0000-0002-0569-4908ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 5 · 2 first-author · 5 since 2021Artificial intelligence and machine learning · 3 · 1 first-author · 3 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2025 Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI
Surabhi S. Nath, Guiomar del Cuvillo y Schröder, Claire E. Stevenson
CogSci1
2025 Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise
Karahan Saritas, Peter Dayan, Tingke Shen, Surabhi S. Nath
CogSci4
2024 Simplicity in Complexity: Explaining Visual Complexity using Deep Segmentation Models
Tingke Shen, Surabhi S. Nath, Aenne Brielmann, Peter Dayan
CogSci2
2024 Characterising the Creative Process in Humans and Large Language Models
Surabhi S. Nath, Peter Dayan, Claire E. Stevenson
ICCC1
2023 Inside the Grid, yet Outside the Box: Computational Investigations of Human Creativity using Pixel Patterns
abstract
Creativity is an important, yet elusive, human characteristic. Despite strides in understanding creativity as a cognitive ability, there is a paucity of computational studies. Our work aims to fill this gap with a proposal for a computational investigation of the mechanisms underlying people’s evaluation and production of little-c creative artistic work. We fashion a tractably constrained experimental setting involving binary 5 × 5 pixel patterns, define a relevant taxonomy, describe various possible computational mechanisms, develop a series of behavioural experiments, and propose directions for analyses. Broadly, we aim to enrich the computational understanding of product and process creativity.
Surabhi S. Nath
Creativity & Cognition1
2021 An informatics approach to examine decision-making impairments in the daily life of individuals with depression
Haomiao Jin, Surabhi S. Nath, Stefan Schneider 0007, Doerte U. Junghaenel, Shinyi Wu, Charles Kaplan
J. Biomed. Informatics2