Work

Influence of Visual Coding Based on Attraction Effect on Human–Computer Interface

Year: 2025

Type: article

Abstract: Decision-making is often influenced by contextual information on the human-computer interface (HCI), with the attraction effect being a common situational effect in digital nudging. To address the role of visual cognition and coding in the HCI based on the attraction effect, this research takes online websites as experimental scenarios and demonstrates how the coding modes and attributes influence the attraction effect. The results show that similarity-based attributes enhance the attraction effect, whereas difference-based attributes do not modulate its intensity, suggesting that the influence of the relationship driven by coding modes is weaker than that of coding attributes. Additionally, variations in the strength of the attraction effect are observed across different coding modes under the coding attribute of similarity, with color coding having the strongest effect, followed by size, and labels showing the weakest effect. This research analyzes the stimulating conditions of the attraction effect and provides new insights for exploring the relationship between cognition and visual characterization through the attraction effect at the HCI. Furthermore, our findings can help apply the attraction effect more effectively and assist users in making more reasonable decisions.

Source: Journal of Eye Movement Research

DOI: 10.3390/jemr18020012

Authors: Linlin Wang, Yujie Liu, Xinyi Tang, Chengqi Xue, Haiyan Wang

Institution: Southeast University

Language: English

Topic: Decision-Making and Behavioral Economics

Subfield: General Decision Sciences

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,207

Funder: National Natural Science Foundation of China