Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Development of a Voice Virtual Assistant for the Geospatial Data Visualization Application on the Web

Version 1 : Received: 3 July 2023 / Approved: 4 July 2023 / Online: 6 July 2023 (10:08:55 CEST)

A peer-reviewed article of this Preprint also exists.

Mahmoudi, H.; Camboim, S.; Brovelli, M.A. Development of a Voice Virtual Assistant for the Geospatial Data Visualization Application on the Web. ISPRS Int. J. Geo-Inf. 2023, 12, 441. Mahmoudi, H.; Camboim, S.; Brovelli, M.A. Development of a Voice Virtual Assistant for the Geospatial Data Visualization Application on the Web. ISPRS Int. J. Geo-Inf. 2023, 12, 441.

Abstract

Integrating voice assistant technology can potentially enhance accessibility and user interaction in web-based platforms for geospatial data visualisation and processing. This paper presents an open-source development incorporating a voice virtual assistant into the BStreams web application platform, designed specifically for visualising geospatial data. The study aimed to mitigate the observed limitations of virtual assistants in understanding the semantics and context of user commands in the geospatial domain. A discourse framework specialised for geospatial data was developed using a structured prototype methodology. In addition, a survey assisted in identifying commonly used English terminologies for geospatial data interaction. The questionnaire results were subsequently assessed using the ChatGPT natural language processing model. The application used open-source frameworks, including Web Speech API, Leaflet, Mapbox geocoding, and JavaScript. This investigation indicates that voice virtual assistants can potentially enhance human-computer interaction for geospatial data visualisation and processing. However, challenges related to natural language understanding, accents, and domain knowledge were raised. The paper advocates for further research to refine the integration of voice technology in this domain.

Keywords

Voice user interface; Geographic Information System; human-computer interaction; multimodal interface; natural language; Web application; Natural language interaction; Voice virtual assistant; Speech recognition

Subject

Computer Science and Mathematics, Other

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