PlexLSM

This article presents the design of an extensible training platform for Mexican Sign Language (LSM) aimed at hearing individuals who provide services to deaf people using a scenario-based teaching strategy. The PlexLSM platform was co-designed with stakeholders involved in service scenarios for deaf users. To demonstrate the feasibility of PlexLSM, prototypes, and evaluations were conducted for service scenarios in medical offices and taxi transportation. However, the platform's design allows for the addition of new service scenarios. PlexLSM supports learning signs for general words and phrases, as well as scenario-specific terms. Gamification strategies are incorporated to motivate users, guiding them from a basic level to a service scenario level where they can engage in conversations with deaf individuals. Focus groups were conducted with potential service providers from various fields for the formative evaluation of low-fidelity prototypes. Additionally, the user experience of the developed mobile application was evaluated using the think-aloud method. The results indicate that PlexLSM can effectively support LSM learning for service providers across different scenarios.

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Publication Details

Journal
Avances en Interacción Humano-Computadora
Published
2024-11-30
DOI
https://doi.org/10.47756/aihc.y9i1.158
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

PlexLSM

Soraia Silva Prietch, J. Alfredo Sánchez, Miguel Angel Vidal-Campos
Avances en Interacción Humano-Computadora
IoT and Edge/Fog Computing
article

PlexLSM

Soraia Silva Prietch, J. Alfredo Sánchez, Miguel Angel Vidal-Campos
article en

Abstract

This article presents the design of an extensible training platform for Mexican Sign Language (LSM) aimed at hearing individuals who provide services to deaf people using a scenario-based teaching strategy. The PlexLSM platform was co-designed with stakeholders involved in service scenarios for deaf users. To demonstrate the feasibility of PlexLSM, prototypes, and evaluations were conducted for service scenarios in medical offices and taxi transportation. However, the platform's design allows for the addition of new service scenarios. PlexLSM supports learning signs for general words and phrases, as well as scenario-specific terms. Gamification strategies are incorporated to motivate users, guiding them from a basic level to a service scenario level where they can engage in conversations with deaf individuals. Focus groups were conducted with potential service providers from various fields for the formative evaluation of low-fidelity prototypes. Additionally, the user experience of the developed mobile application was evaluated using the think-aloud method. The results indicate that PlexLSM can effectively support LSM learning for service providers across different scenarios.

Avances en Interacción Humano-ComputadoraVol. 9(1)
Universidade Federal de Rondônia (BR), Universidade Federal de Rondonópolis
Openalex Percentile: Top 69%
IoT and Edge/Fog Computing
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