Evaluating Different Levels of Detail in AR for Enhancing Citizen Participation in Urban Planning

The introduction of augmented reality (AR) into urban planning is becoming increasingly important as digital data and models allow urban planners to visualise their plans and concepts in a different way so that various stakeholders can view and experience the virtual changes to the structural and spatial structures immediately. This paper presents the results of an interdisciplinary research project in which an AR App was designed and evaluated in terms of its applicability, user-friendliness and added value for integrative participation. The evaluation of the AR App clearly emphasised that AR provides a more serious consideration of plans and concepts, since the user receives a realistic impression of plans and concepts „live“ on site. The fact that the participants are able to view and ‘experience’ the spatial structure, the building hights and distance spaces in the App is particularly appreciated by the participants as an added value. The level of detail (LOD) used for visualisation appears to be crucial here. The evaluation further highlights that participants generally prefer 3D models with an increased LOD, i.e. LOD 3.1 and 3.3, for visualisation in AR, as these are more appropriate for conveying a more comprehensive impression with regard to the intended spatial changes and detailed planning drafts. Higher LOD are thus preferred in the participation phase, as they can provide a better impression of the planning project.

Publication Details

Journal
Università degli Studi di Napoli Federico II
Published
2024-10-25
DOI
https://doi.org/10.6093/2281-4574/11267
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Different Levels of Detail in AR for Enhancing Citizen Participation in Urban Planning

Università degli Studi di Napoli Federico II
Augmented Reality Applications
article

Evaluating Different Levels of Detail in AR for Enhancing Citizen Participation in Urban Planning

article en

Abstract

The introduction of augmented reality (AR) into urban planning is becoming increasingly important as digital data and models allow urban planners to visualise their plans and concepts in a different way so that various stakeholders can view and experience the virtual changes to the structural and spatial structures immediately. This paper presents the results of an interdisciplinary research project in which an AR App was designed and evaluated in terms of its applicability, user-friendliness and added value for integrative participation. The evaluation of the AR App clearly emphasised that AR provides a more serious consideration of plans and concepts, since the user receives a realistic impression of plans and concepts „live“ on site. The fact that the participants are able to view and ‘experience’ the spatial structure, the building hights and distance spaces in the App is particularly appreciated by the participants as an added value. The level of detail (LOD) used for visualisation appears to be crucial here. The evaluation further highlights that participants generally prefer 3D models with an increased LOD, i.e. LOD 3.1 and 3.3, for visualisation in AR, as these are more appropriate for conveying a more comprehensive impression with regard to the intended spatial changes and detailed planning drafts. Higher LOD are thus preferred in the participation phase, as they can provide a better impression of the planning project.

Università degli Studi di Napoli Federico II
Sustainable cities and communities
Openalex Percentile: Top 59%
Augmented Reality Applications
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.