ArticlePeerJ2026
Quantifying intergenerational differences in community public space perception: a multimodal Electroencephalography-eye tracking study.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Against the dual backdrop of global aging and urbanization, the design of community public spaces for intergenerational integration has become a crucial approach to enhancing the quality of life for children and the elderly. However, existing studies mostly rely on subjective questionnaires and interviews, which struggle to reveal the potential intergenerational neurocognitive differences-particularly lacking quantitative analysis of the subconscious mechanisms in spatial perception between the elderly and children. This study aims to construct a multimodal evaluation system by integrating electroencephalography (EEG) and eye tracking technology to uncover the differences in neurobehavioral responses between the elderly and child groups in community public spaces. In this study, stratified random sampling was adopted to select community samples and collect spatial images. Based on computer vision (Segment Anything Model), spatial element identification and classification were conducted. Through controlled experiments, EEG and eye-tracking data of 40 participants (25 elderly and 15 children) were synchronously collected to reveal intergenerational differences in spatial cognition. The results show that the elderly and children exhibit significantly different "neuro-behavioral response patterns" in area typologies such as Community Service Areas and Leftover Areas. For instance, the elderly present a "high emotional arousal-high functional attention" pattern in Community Service Areas, while children demonstrate "high exploration-high dynamic attention" characteristics in Leftover Areas. These findings provide empirical evidence for the design of spaces for intergenerational integration from the neurocognitive perspective and offer scientific support for the refined and human-oriented construction strategies of community public spaces.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.