2 Search Results for "Afghantoloee, Ali"

Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2024.30
Wheelchair Users Navigational Behavior: Insights from Eye Movement Data and Environment Legibility (Short Paper)

Authors: Sanaz Azimi, Mir Abolfazl Mostafavi, Angélique Lydia Montuwy, Krista Lynn Best, and Aurélie Dommes

Published in: LIPIcs, Volume 315, 16th International Conference on Spatial Information Theory (COSIT 2024)

Abstract
This study aims to investigate how eye movement data and the legibility of the environment can help us to better understand the navigational behavior of wheelchair users (WCUs) in urban environments. For this purpose and through a field-based exploratory experiment, the legibility of a route was computed and compared with the visual behavior of two participants with different levels of wheelchair-using experience. The preliminary outcomes show the less experienced WCU has looked more intensively for information in the environment, while the more experienced one engaged in a deep cognitive process to maintain his safety. In addition, we have observed a correlation between the level of the legibility of the environment and the fixation duration and the frequency of saccades between fixations, likely leading to intensive cognitive processes in some situations. Based on these results and upcoming complementary experiments, we intend to better adapt the assistive navigation technologies for the mobility needs of WCU.
Cite as

Sanaz Azimi, Mir Abolfazl Mostafavi, Angélique Lydia Montuwy, Krista Lynn Best, and Aurélie Dommes. Wheelchair Users Navigational Behavior: Insights from Eye Movement Data and Environment Legibility (Short Paper). In 16th International Conference on Spatial Information Theory (COSIT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 315, pp. 30:1-30:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

Copy BibTex To Clipboard

@InProceedings{azimi_et_al:LIPIcs.COSIT.2024.30,
  author =	{Azimi, Sanaz and Mostafavi, Mir Abolfazl and Montuwy, Ang\'{e}lique Lydia and Best, Krista Lynn and Dommes, Aur\'{e}lie},
  title =	{{Wheelchair Users Navigational Behavior: Insights from Eye Movement Data and Environment Legibility}},
  booktitle =	{16th International Conference on Spatial Information Theory (COSIT 2024)},
  pages =	{30:1--30:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-330-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{315},
  editor =	{Adams, Benjamin and Griffin, Amy L. and Scheider, Simon and McKenzie, Grant},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2024.30},
  URN =		{urn:nbn:de:0030-drops-208459},
  doi =		{10.4230/LIPIcs.COSIT.2024.30},
  annote =	{Keywords: Wheelchair users, Navigational behavior, Mobility, Eye-tracking, Legibility}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.19
Towards Optimal Deployment of a Sensor Network in a 3D Indoor Environment for the Mobility of People with Disabilities (Short Paper)

Authors: Ali Afghantoloee and Mir Abolfazl Mostafavi

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Mobility of people with disabilities is one of the most important challenges for their social integration. There have been significant effort to develop assistive technologies to guide the PWD during their mobility in recent years. However, these technologies have limitations when it comes to the navigation and guidance of these people through accessible routes. This is specifically problematic in indoor environments where detection, location and tracking of people, and other dynamic objects that may limit the mobility of these people, are very challenging. Thus, many researches have leveraged the use of sensors to track users and dynamic objects in indoor environments. However, in most of the described methods, the sensors are manually deployed. Due to the complexity of indoor environments, the diversity of sensors and their sensing models, as well as the diversity of the profiles of people with disabilities and their needs during their mobility, the optimal deployment of a sensor network is a challenging task. There exist several optimization methods to maximize coverage and minimize the number of sensors while maintaining the minimum connectivity between the sensor nodes in a network. Most of the current sensor network optimization methods oversimplify the environment and do not consider the complexity of 3D indoor environments. In this paper, we propose a novel 3D local optimization algorithm based on a geometric spatial data structure that takes into account some of these complexities for the purpose of helping PWD in their mobility in 3D indoor environments such as shopping centers, museums and other public buildings.
Cite as

Ali Afghantoloee and Mir Abolfazl Mostafavi. Towards Optimal Deployment of a Sensor Network in a 3D Indoor Environment for the Mobility of People with Disabilities (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 19:1-19:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@InProceedings{afghantoloee_et_al:LIPIcs.GISCIENCE.2018.19,
  author =	{Afghantoloee, Ali and Mostafavi, Mir Abolfazl},
  title =	{{Towards Optimal Deployment of a Sensor Network in a 3D Indoor Environment for the Mobility of People with Disabilities}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{19:1--19:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.19},
  URN =		{urn:nbn:de:0030-drops-93471},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.19},
  annote =	{Keywords: 3D indoor navigation, Sensor network deployment, People with disabilities}
}
  • Refine by Author
  • 2 Mostafavi, Mir Abolfazl
  • 1 Afghantoloee, Ali
  • 1 Azimi, Sanaz
  • 1 Best, Krista Lynn
  • 1 Dommes, Aurélie
  • Show More...

  • Refine by Classification
  • 1 General and reference → Empirical studies
  • 1 Hardware → Sensors and actuators
  • 1 Human-centered computing → Accessibility design and evaluation methods
  • 1 Information systems → Geographic information systems

  • Refine by Keyword
  • 1 3D indoor navigation
  • 1 Eye-tracking
  • 1 Legibility
  • 1 Mobility
  • 1 Navigational behavior
  • Show More...

  • Refine by Type
  • 2 document

  • Refine by Publication Year
  • 1 2018
  • 1 2024

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact