Neural Sensing: Toward a New Approach to Understanding Emotional Responses to Place

ABSTRACT As GIS progressively permeates our everyday lives, it becomes increasingly significant to incorporate emotional factors into the design and use of GIS technologies. While existing methods such as self‐report and AI‐enhanced techniques prevail in collecting emotional factors, they often miss real‐time emotional nuances and synchronization with geographically referenced and other accompanying data. To bridge this gap, we introduce “Neural Sensing,” a novel approach that combines Electroencephalogram (EEG) with GIS technologies to quantitatively measure emotional responses to places. This approach offers a unique lens to understand human dynamics in a hybrid physical–virtual realm, especially by delving into our mental worlds. To demonstrate the utility of Neural Sensing, we have designed a pilot empirical study to analyze emotional reactions to geographical environments. This approach broadens the domain of GIS methodologies from remote sensing and social sensing to a neural sensing approach. Through this study, we underscore the importance of the mental dimension of the hybrid physical–virtual world and encourage GIScientists to emphasize human experiences and feelings in GIS analyses.

Authors

Institutions

Publication Details

Journal
Transactions in GIS
Published
2024-09-14
DOI
https://doi.org/10.1111/tgis.13244
Citations
3
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
1.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neural Sensing: Toward a New Approach to Understanding Emotional Responses to Place

Shih‐Lung Shaw, Xiaohui Chang, Bo Zhao, Yuzhi Sun et al.
3 citations
Transactions in GIS
Innovative Human-Technology Interaction
1.12
article

Neural Sensing: Toward a New Approach to Understanding Emotional Responses to Place

Shih‐Lung Shaw, Xiaohui Chang, Bo Zhao, Yuzhi Sun, Jiaxin Feng
article en
3 citations

Abstract

ABSTRACT As GIS progressively permeates our everyday lives, it becomes increasingly significant to incorporate emotional factors into the design and use of GIS technologies. While existing methods such as self‐report and AI‐enhanced techniques prevail in collecting emotional factors, they often miss real‐time emotional nuances and synchronization with geographically referenced and other accompanying data. To bridge this gap, we introduce “Neural Sensing,” a novel approach that combines Electroencephalogram (EEG) with GIS technologies to quantitatively measure emotional responses to places. This approach offers a unique lens to understand human dynamics in a hybrid physical–virtual realm, especially by delving into our mental worlds. To demonstrate the utility of Neural Sensing, we have designed a pilot empirical study to analyze emotional reactions to geographical environments. This approach broadens the domain of GIS methodologies from remote sensing and social sensing to a neural sensing approach. Through this study, we underscore the importance of the mental dimension of the hybrid physical–virtual world and encourage GIScientists to emphasize human experiences and feelings in GIS analyses.

Transactions in GISVol. 28(7)
Oregon State University (US), University of Washington (US), University of Tennessee at Knoxville (US)
Openalex Percentile: Top 22%
Innovative Human-Technology Interaction
1.12
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.