Influence of Visual Coding Based on Attraction Effect on Human-Computer Interface.

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

Abstract read

In one paragraph

Article in Journal of eye movement research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Linlin WangDepartment of Mechanical Engineering, Southeast University, Nanjing 211189, China; linlinwang@seu.edu.cn (L.W.); yliu319@changan-mazda.com.cn (Y.L.); xinyi_tang@seu.edu.cn (X.T.); whaiyan@seu.edu.cn (H.W.).ORCID https://orcid.org/0009-0002-7522-2700

Yujie LiuDepartment of Mechanical Engineering, Southeast University, Nanjing 211189, China; linlinwang@seu.edu.cn (L.W.); yliu319@changan-mazda.com.cn (Y.L.); xinyi_tang@seu.edu.cn (X.T.); whaiyan@seu.edu.cn (H.W.).

Xinyi TangDepartment of Mechanical Engineering, Southeast University, Nanjing 211189, China; linlinwang@seu.edu.cn (L.W.); yliu319@changan-mazda.com.cn (Y.L.); xinyi_tang@seu.edu.cn (X.T.); whaiyan@seu.edu.cn (H.W.).ORCID https://orcid.org/0000-0002-1780-4107

Chengqi XueDepartment of Mechanical Engineering, Southeast University, Nanjing 211189, China; linlinwang@seu.edu.cn (L.W.); yliu319@changan-mazda.com.cn (Y.L.); xinyi_tang@seu.edu.cn (X.T.); whaiyan@seu.edu.cn (H.W.).

Haiyan WangDepartment of Mechanical Engineering, Southeast University, Nanjing 211189, China; linlinwang@seu.edu.cn (L.W.); yliu319@changan-mazda.com.cn (Y.L.); xinyi_tang@seu.edu.cn (X.T.); whaiyan@seu.edu.cn (H.W.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

attraction effectdecision-makingeye movementinformation codingvisual cognition

Identifiers

PMID40290625

DOI10.3390/jemr18020012

PMCPMC12027614

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.