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An analysis of the methodology and validation of the design and presentation of stimulus materials for eye-tracking experiments

Published:03 May 2024Publication History

ABSTRACT

Purpose, eye-tracking experimental method is gradually becoming a research hotspot for designing towards intelligence because of its ability to objectively reflect the visual perception process of the subjects. In order to enhance the rationality of the intelligent use of eye-tracking experimental method in the field of design, and to help solve the problem of the lack of a systematic approach to the design of stimulus materials in eye-tracking experiments, the corresponding theoretical model is proposed and verified in practice. Methods, relevant literature in the field of combining eye-tracking instrument and intelligent design at home and abroad is collected and organised, hierarchical relationships are sorted out, theoretical models are constructed, and eye-tracking experiments of China's underground signs are used as an example to verify the reliability of the method model. Conclusion, the design method of stimulus materials for eye movement experiments with experimental purpose as the guide and dimension division as the means is proposed, which provides certain case support for the formation of systematic theory for the intelligent design of stimulus materials in the future, and helps the researchers to be able to accurately carry out the design of stimulus materials based on the purpose of the research when carrying out the eye movement experiments, and better promotes the development of eye movement experimental method in the field of artificial intelligence, and achieves the perfect integration of science and technology and life.

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  1. An analysis of the methodology and validation of the design and presentation of stimulus materials for eye-tracking experiments

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    • Published in

      cover image ACM Other conferences
      IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
      November 2023
      902 pages
      ISBN:9798400716485
      DOI:10.1145/3653081

      Copyright © 2023 ACM

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      New York, NY, United States

      Publication History

      • Published: 3 May 2024

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