TY - GEN
T1 - Maximum excess over sub-arrays distance to assess creative thinking
AU - Anistyasari, Yeni
AU - Ekohariadi,
AU - Buditjahjanto, I. Gusti Putu Asto
AU - Yulianto, Bambang
AU - Suprapto,
AU - Hidayati, Shintami C.
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/4/27
Y1 - 2023/4/27
N2 - Torrance Test Creative Thinking (TTCT) figural form was developed to measure creativity based on Guilford's theory. This test measures fluency, flexibility, originality, and elaboration scales. The state-of-the-art assessment involves a human rater to judge respondent responses to creative thinking tests. Such a judging process is time-consuming and subjective preferences. We, therefore, propose a novel assessment of creative thinking to address the issues, partially for elaboration scales. Elaboration scale is the ability to detail and deepen initial ideas which increase their complexity and improves presentation. In image analysis, this scale is determined by estimating the number of objects in an image. The Maximum Excess over Sub Array (MESA) distance predicts image density values by estimating low-level features and sharing the advantages of general regression-based methods, while also maintaining location information. The maximum counting error performs all rectangular subregions as a learning objective function. The result statistically confirmed that the proposed method has no significant difference from human rater judging. In other words, the proposed method is reasonable to judge respondent responses to the creative thinking test.
AB - Torrance Test Creative Thinking (TTCT) figural form was developed to measure creativity based on Guilford's theory. This test measures fluency, flexibility, originality, and elaboration scales. The state-of-the-art assessment involves a human rater to judge respondent responses to creative thinking tests. Such a judging process is time-consuming and subjective preferences. We, therefore, propose a novel assessment of creative thinking to address the issues, partially for elaboration scales. Elaboration scale is the ability to detail and deepen initial ideas which increase their complexity and improves presentation. In image analysis, this scale is determined by estimating the number of objects in an image. The Maximum Excess over Sub Array (MESA) distance predicts image density values by estimating low-level features and sharing the advantages of general regression-based methods, while also maintaining location information. The maximum counting error performs all rectangular subregions as a learning objective function. The result statistically confirmed that the proposed method has no significant difference from human rater judging. In other words, the proposed method is reasonable to judge respondent responses to the creative thinking test.
UR - http://www.scopus.com/inward/record.url?scp=85159802956&partnerID=8YFLogxK
U2 - 10.1063/5.0129604
DO - 10.1063/5.0129604
M3 - Conference contribution
AN - SCOPUS:85159802956
T3 - AIP Conference Proceedings
BT - Proceedings of the Symposium on Advance of Sustainable Engineering 2021, SIMASE 2021
A2 - Abdullah, Ade Gafar
A2 - Nugroho, Astri Rinanti
A2 - Miharja, Deni
A2 - Rohadi, Erfan
A2 - Triawan, Farid
A2 - Helios, Muhammad Penta
A2 - Aji, Sudi Dul
PB - American Institute of Physics Inc.
T2 - Symposium on Advance of Sustainable Engineering 2021: Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research, SIMASE 2021
Y2 - 18 August 2021 through 19 August 2021
ER -