Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention

Introduction Artificial intelligence (AI) technology empowers businesses to bypass designers and create brand logos directly through AI tools. We focus on the effectiveness of AI-generated logos in brand communication when AI acts as an autonomous designer. Relevant research on visual attention has demonstrated the beneficial impact of innovation and relevance on brand communication. However, the combined impact of innovation and relevance on users’ sustained attention in AI-generated logos remains unclear. Methods To address this gap, this research demonstrates the synergistic effect of innovation and semantic relevance on users’ sustained attention under different creator type through two studies. Results Specifically, Study 1 explored the synergistic effect of innovation and semantic relevance on cognitive evaluation, emotional evaluation, and sustained attention using 434 questionnaires, and also observed the mediating effect of cognitive evaluation and emotional evaluation. The mediation regression model found that the synergistic effect of innovation and relevance significantly affected users’ cognitive evaluation ( F (3,428) = 19.262, MSE = 0.785, p < 0.001) and sustained attention ( F (3,428) = 4.197, MSE = 0.737, p < 0.05), with cognitive evaluation playing a mediating effect. Building on these findings, Study 2 verified the moderating effect of creator type by employing 54 valid eye-tracking samples. The results indicate that disclosure of creator type significantly moderates the degree of users’ cognitive evaluation and sustained attention. Discussion When the creator type was disclosed as AI, logos with high innovation and semantic relevance tended to receive sustained attention, and users exhibited more positive cognitive engagement. In contrast, when the creator type was disclosed as human, logos with weak semantic relevance received more sustained attention. These findings provide a basis for integrating AI tools and human creativity in future design.

Authors

Institutions

Publication Details

Journal
Frontiers in Communication
Published
2025-11-28
DOI
https://doi.org/10.3389/fcomm.2025.1667077
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention

Can Zheng, Zheng Li, Wei Guan, Shuai Ling
Frontiers in Communication
AI in Service Interactions
article

Algorithmic esthetics meets human intuition: the synergy of innovation and relevance shapes sustained attention

Can Zheng, Zheng Li, Wei Guan, Shuai Ling
article en

Abstract

Introduction Artificial intelligence (AI) technology empowers businesses to bypass designers and create brand logos directly through AI tools. We focus on the effectiveness of AI-generated logos in brand communication when AI acts as an autonomous designer. Relevant research on visual attention has demonstrated the beneficial impact of innovation and relevance on brand communication. However, the combined impact of innovation and relevance on users’ sustained attention in AI-generated logos remains unclear. Methods To address this gap, this research demonstrates the synergistic effect of innovation and semantic relevance on users’ sustained attention under different creator type through two studies. Results Specifically, Study 1 explored the synergistic effect of innovation and semantic relevance on cognitive evaluation, emotional evaluation, and sustained attention using 434 questionnaires, and also observed the mediating effect of cognitive evaluation and emotional evaluation. The mediation regression model found that the synergistic effect of innovation and relevance significantly affected users’ cognitive evaluation ( F (3,428) = 19.262, MSE = 0.785, p < 0.001) and sustained attention ( F (3,428) = 4.197, MSE = 0.737, p < 0.05), with cognitive evaluation playing a mediating effect. Building on these findings, Study 2 verified the moderating effect of creator type by employing 54 valid eye-tracking samples. The results indicate that disclosure of creator type significantly moderates the degree of users’ cognitive evaluation and sustained attention. Discussion When the creator type was disclosed as AI, logos with high innovation and semantic relevance tended to receive sustained attention, and users exhibited more positive cognitive engagement. In contrast, when the creator type was disclosed as human, logos with weak semantic relevance received more sustained attention. These findings provide a basis for integrating AI tools and human creativity in future design.

Frontiers in CommunicationVol. 10
Qingdao University (CN), Nanjing Normal University (CN), Nanjing Forestry University (CN), Jiangsu Second Normal University (CN), Jeonbuk National University (KR)
Openalex Percentile: Top 80%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.