Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
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Article Number | 01109 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/bioconf/20248601109 | |
Published online | 12 January 2024 |
Location-Based Services for Indoor Environments: A User Experience Test
1 Department of Management and Innovation, Department of management and innovation, National Research University Moscow State University of Civil Engineering, 129337 Yaroslavskoe shosse, Moscow, Russia ;
3 Uttaranchal University, Dehradun 248007, India
4 Lovely Professional University, Phagwara, Punjab, India
5 K R Mangalam University, Gurgaon, India
6 GD Goenka University, Sohna, Haryana, India
* Corresponding email- meshcheryakovats@mgsu.ru
The location-based services (LBS) user experience in controlled indoor settings in this scientific research. The environments included a range of user demographics, device configurations, and ambient factors. According to our findings, customer satisfaction ratings ranged from 5 to 9 on a scale of 1 to 10, and the average location accuracy was 1.1 meters (±0.4 meters) across various interactions and locales. These conclusions were supported by qualitative comments, which expressed satisfaction with the effectiveness of the check-in procedures and the practicality of several LBS features. Negative reviews, on the other hand, revealed difficulties with positioning technology accuracy, highlighting the intricate interactions among variables influencing indoor location-based services user experiences. This study provides a solid scientific basis for indoor location-based services (LBS) optimization, highlighting the need of tackling practical issues to improve user contentment and the usefulness of such services in indoor environments.
Key words: interior settings / location-based services / accuracy / optimization / user experience
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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