Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures

Tetsuo Ishikawa; Mayumi Toshima; Ken Mogi

doi:10.1007/978-3-030-22808-8_51

Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures

Tetsuo Ishikawa, Mayumi Toshima, Ken Mogi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

People sometimes gain insight into an innovative solution of problem. In the visual domain, one-shot learning in hidden figures is a prominent instance of such Eureka moments. However, the nature of conscious experience accompanying the visual one-shot learning has not been well studied. Here we show the phenomenology of visual one-shot learning scrutinized through an experiment considering more diverging aspects of subjective feelings. Correlation and exploratory factor analysis were performed on the participants’ recognition time, accuracy, and subjective judgments of hidden figure recognition in morphing gradual change paradigm. As a result, two salient factors were found, which were interpreted as “Aha!” experience and task difficulty. Furthermore, the “Aha!” experience consists of affective and cognitive components of insight. The results suggested that insight can be characterized by multidimensional factors in the case of visual one-shot learning as in common with other problem domains and modalities.

Original language	English
Title of host publication	Advances in Neural Networks – ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Proceedings
Editors	Huchuan Lu, Huajin Tang, Zhanshan Wang
Publisher	Springer Verlag
Pages	522-530
Number of pages	9
ISBN (Print)	9783030228071
DOIs	https://doi.org/10.1007/978-3-030-22808-8_51
Publication status	Published - 2019
Externally published	Yes
Event	16th International Symposium on Neural Networks, ISNN 2019 - Moscow, Russian Federation Duration: 2019 Jul 10 → 2019 Jul 12

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11555 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Symposium on Neural Networks, ISNN 2019
Country/Territory	Russian Federation
City	Moscow
Period	19/7/10 → 19/7/12

Keywords

Affective
Cognitive
Hidden figures
Insight
One-shot learning
Phenomenology
Visual object recognition
“Aha!” experience

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-22808-8_51

Cite this

Ishikawa, T., Toshima, M., & Mogi, K. (2019). Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures. In H. Lu, H. Tang, & Z. Wang (Eds.), Advances in Neural Networks – ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Proceedings (pp. 522-530). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11555 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22808-8_51

Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures. / Ishikawa, Tetsuo; Toshima, Mayumi; Mogi, Ken.
Advances in Neural Networks – ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. ed. / Huchuan Lu; Huajin Tang; Zhanshan Wang. Springer Verlag, 2019. p. 522-530 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11555 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ishikawa, T, Toshima, M & Mogi, K 2019, Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures. in H Lu, H Tang & Z Wang (eds), Advances in Neural Networks – ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11555 LNCS, Springer Verlag, pp. 522-530, 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russian Federation, 19/7/10. https://doi.org/10.1007/978-3-030-22808-8_51

Ishikawa T, Toshima M, Mogi K. Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures. In Lu H, Tang H, Wang Z, editors, Advances in Neural Networks – ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. Springer Verlag. 2019. p. 522-530. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22808-8_51

Ishikawa, Tetsuo ; Toshima, Mayumi ; Mogi, Ken. / Phenomenology of Visual One-Shot Learning : Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures. Advances in Neural Networks – ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. editor / Huchuan Lu ; Huajin Tang ; Zhanshan Wang. Springer Verlag, 2019. pp. 522-530 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Phenomenology of Visual One-Shot Learning: Affective and Cognitive Components of Insight in Morphed Gradual Change Hidden Figures

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Conference

Keywords

ASJC Scopus subject areas

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