A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Voice-Based Intelligent Virtual Agents (VIVA) to Support Construction Worker Productivity
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 usability 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 performance 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.
Highlights Voice-Based methods have great potential to support construction worker's productivity. The understanding of voice-based interactions in specific construction contexts is critical for technology effectiveness. The authors developed and evaluated a Voice-based System based on IoT to support Worker's activities. The developed system improved users' performance without negatively impactive perceived workload.
Voice-Based Intelligent Virtual Agents (VIVA) to Support Construction Worker Productivity
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 usability 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 performance 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.
Highlights Voice-Based methods have great potential to support construction worker's productivity. The understanding of voice-based interactions in specific construction contexts is critical for technology effectiveness. The authors developed and evaluated a Voice-based System based on IoT to support Worker's activities. The developed system improved users' performance without negatively impactive perceived workload.
Voice-Based Intelligent Virtual Agents (VIVA) to Support Construction Worker Productivity
Linares-Garcia, Daniel Antonio (author) / Roofigari-Esfahan, Nazila (author) / Pratt, Kristina (author) / Jeon, Myounghoon (author)
2022-08-26
Article (Journal)
Electronic Resource
English
| British Library Online Contents | 2009
| Online Contents | 1998
TIBKAT | Nr. 1.1988(Juli/Aug.) - 63.1998(Nov./Dez.); 64.1999 -