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Voice-Based Intelligent Virtual Agents (VIVA) to Support Construction Worker Productivity
Journal article   Peer reviewed

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

Daniel Antonio Linares-Garcia, Nazila Roofigari-Esfahan, Kristina Pratt and Myounghoon Jeon
Automation in construction, Vol.143, p.104554
11-01-2022

Abstract

Construction & Building Technology Engineering, Civil Science & Technology Engineering Technology
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.

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11 Record Views
30 Times Cited - Scopus

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#9 Industry, Innovation and Infrastructure
#8 Decent Work and Economic Growth

Source: SDGs in the Output

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