The impact of information overload on Gen Z iPhone-user product preferences and visual attention: a biometric approach

Purpose This paper aims to examine the influence of information load and brand familiarity on consumer preferences, attention and cognitive processes in the context of smartphone product decision-making. Design/methodology/approach Using the theoretical lens of bounded rationality, this paper tests a series of hypotheses on the impact of high and low information load and brand familiarity on users’ attention strategies, cognitive effort, visual focus, arousal and preferences. In this within-subject experimental study, data from 28 Gen Z iPhone users were collected using eye-tracking, galvanic skin response and surveys. Findings Findings uncover that a lower information load enhances productive attention by encouraging comparison and integration of visual strategies, while a higher information load increases cognitive effort and restricts productive attention. Between varying information loads, preference for familiar brands remained consistent (Apple), while preference for unfamiliar brands (Huawei) rose when information load was reduced. Originality/value While existing literature on consumer decision-making addresses consumer preferences under information overload and varying brand familiarity independently, this paper evaluates the impact of information overload and brand perception simultaneously. This paper’s use of both biometric and survey data provides a unique approach to exploring consumers’ behavior (conscious and subconscious) and offers valuable insights for research and practice.

Authors

Institutions

Publication Details

Journal
Journal of Consumer Marketing
Published
2025-10-13
DOI
https://doi.org/10.1108/jcm-12-2024-7460
Citations
3
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
12.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of information overload on Gen Z iPhone-user product preferences and visual attention: a biometric approach

Alan R. Price, Dinko Bačić, Robert B. Love, Sofia Martinez de Arredondo Milera
3 citations
Journal of Consumer Marketing
Digital Marketing and Social Media
12.60
article

The impact of information overload on Gen Z iPhone-user product preferences and visual attention: a biometric approach

Alan R. Price, Dinko Bačić, Robert B. Love, Sofia Martinez de Arredondo Milera
article en
3 citations

Abstract

Purpose This paper aims to examine the influence of information load and brand familiarity on consumer preferences, attention and cognitive processes in the context of smartphone product decision-making. Design/methodology/approach Using the theoretical lens of bounded rationality, this paper tests a series of hypotheses on the impact of high and low information load and brand familiarity on users’ attention strategies, cognitive effort, visual focus, arousal and preferences. In this within-subject experimental study, data from 28 Gen Z iPhone users were collected using eye-tracking, galvanic skin response and surveys. Findings Findings uncover that a lower information load enhances productive attention by encouraging comparison and integration of visual strategies, while a higher information load increases cognitive effort and restricts productive attention. Between varying information loads, preference for familiar brands remained consistent (Apple), while preference for unfamiliar brands (Huawei) rose when information load was reduced. Originality/value While existing literature on consumer decision-making addresses consumer preferences under information overload and varying brand familiarity independently, this paper evaluates the impact of information overload and brand perception simultaneously. This paper’s use of both biometric and survey data provides a unique approach to exploring consumers’ behavior (conscious and subconscious) and offers valuable insights for research and practice.

Journal of Consumer Marketing
Loyola University Chicago (US)
Openalex Percentile: Top 2%
Digital Marketing and Social Media
12.60
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.