Voice-Based Intelligent Virtual Agents (VIVA) to Support Construction Worker Productivity

Linares-Garcia, Daniel Antonio; Roofigari-Esfahan, Nazila; Pratt, Kristina; Jeon, Myounghoon

Abstract

The architecture, engineering, and construction (AEC) industry in the United States faces a scarcity of skilled labor workers. Previous efforts in academia and industry have investigated various approaches to improve worker productivity. Voice-based systems present opportunities to improve worker productivity, but their us-ability and applicability in unstructured and noisy occupational settings such as those inherent in construction projects has not been explored. This study describes a prototype Voice-based Intelligent Virtual Agent (VIVA) and evaluates its impact on construction worker productivity. A usability study was conducted involving 20 students to evaluate VIVA's support on workers' performance and cognitive workload. The results corroborated perfor-mance gains with VIVA. Results from workload demonstrates that intervention through voice assistance does not impose cognitive burden on workers. The proposed solution provides a novel use of voice-based agents, in a dynamic and noisy occupational setting, compared to the conventional use of voice assistants in stationary or structured settings.

Más información

Título según WOS: ID WOS:000861939500004 Not found in local WOS DB
Título de la Revista: AUTOMATION IN CONSTRUCTION
Volumen: 143
Editorial: Elsevier
Fecha de publicación: 2022
DOI:

10.1016/j.autcon.2022.104554

Notas: ISI