Perception of Family and Non-Family Company Logos in Eye Tracking and Face Reading Studies

Theoretical background: This article continues the research on the use of eye tracking and face reading tools to analyze and meaning of visual and emotional activity in the marketing field. This research focuses on understanding how different elements of the visual identity of companies, both family-owned and non-family-owned, affect consumer perception and emotion. Purpose of the article: The purpose of the study was to identify and characterize differences in the perception of logos of family and non-family businesses. The work aimed to determine whether family brands evoke stronger emotional and visual engagement compared to non-family brands. Research methods: The paper presents the methodology and results of the completed research on the elements of visual identity of family and non-family businesses. The study was carried out using eye tracking (eye tracking) and monitoring of respondents’ facial expressions (face reading). Data on respondents’ visual activity and facial expression were collected in parallel and subjected to qualitative analysis. Main findings: The results of the study confirm that consumers show greater emotional involvement in exploring family brands. They registered a higher percentage of positive emotions and a longer time of focusing their eyes on logos of family-owned companies compared to logos of non-family-owned companies. This analysis provides valuable information for marketing strategies, indicating the importance of family identity in building positive brand associations.

Authors

Institutions

Publication Details

Journal
Annales Universitatis Mariae Curie-Skłodowska sectio H Oeconomia
Published
2024-10-26
DOI
https://doi.org/10.17951/h.2024.58.4.249-274
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perception of Family and Non-Family Company Logos in Eye Tracking and Face Reading Studies

Ewa Więcek-Janka, Sylwia Łukaszewicz, Katarzyna Sukiennik, Alicja Śliwińska
1 citations
Annales Universitatis Mariae Curie-Skłodowska sectio H Oeconomia
Impact of AI and Big Data on Business and Society
0.49
article

Perception of Family and Non-Family Company Logos in Eye Tracking and Face Reading Studies

Ewa Więcek-Janka, Sylwia Łukaszewicz, Katarzyna Sukiennik, Alicja Śliwińska
article en
1 citations

Abstract

Theoretical background: This article continues the research on the use of eye tracking and face reading tools to analyze and meaning of visual and emotional activity in the marketing field. This research focuses on understanding how different elements of the visual identity of companies, both family-owned and non-family-owned, affect consumer perception and emotion. Purpose of the article: The purpose of the study was to identify and characterize differences in the perception of logos of family and non-family businesses. The work aimed to determine whether family brands evoke stronger emotional and visual engagement compared to non-family brands. Research methods: The paper presents the methodology and results of the completed research on the elements of visual identity of family and non-family businesses. The study was carried out using eye tracking (eye tracking) and monitoring of respondents’ facial expressions (face reading). Data on respondents’ visual activity and facial expression were collected in parallel and subjected to qualitative analysis. Main findings: The results of the study confirm that consumers show greater emotional involvement in exploring family brands. They registered a higher percentage of positive emotions and a longer time of focusing their eyes on logos of family-owned companies compared to logos of non-family-owned companies. This analysis provides valuable information for marketing strategies, indicating the importance of family identity in building positive brand associations.

Annales Universitatis Mariae Curie-Skłodowska sectio H OeconomiaVol. 58(4)
Poznań University of Technology (PL)
Quality Education
Openalex Percentile: Top 29%
Impact of AI and Big Data on Business and Society
0.49
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.