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The Impact of Avatars, Social Norms and Copresence on the Collaboration Effectiveness of AEC Virtual Teams

Anderson, Anne; Dossick, Carrie Sturts; Iorio, Josh; Taylor, John E. (2017). The Impact of Avatars, Social Norms and Copresence on the Collaboration Effectiveness of AEC Virtual Teams. Journal Of Information Technology In Construction, 22, 287 – 304.

Abstract

A growing number of architecture, engineering, and construction (AEC) firms are outsourcing complex design and construction work to international vendors. Due to the significant geographic distances that can separate project team members in global design networks, much of this work is executed in virtual teams, defined as teams composed of geographically separated members who collaborate to accomplish organizational tasks mediated by technology. The challenges of working in geographically distributed networks have prompted the development of alternative, virtual workspaces. Questions remain on how these virtual workspaces support or hinder collaborative work. People are social beings that rely on body language and other non-verbal cues to communicate. What happens to team formation and collaborative effectiveness when non-verbal cues are mediated through avatar actions? In this paper, qualitative ethnographic data collected over four years from studies conducted in a 3D virtual world are used to examine collaboration effectiveness of global virtual engineering project teams. We found that avatar movement and position was effective at communicating nonverbal information, even when done so unintentionally. Avatar actions that map to established social norms in the physical world results in more efficient communication. Collaboration was also enhanced when gesture bubbles were used for backchannel communication and when text chat was used to avoid interrupting voice communication. We found collaboration was hindered when the learning curve was too steep for participants to adapt to tool use or avatar actions in the environment. These findings have important implications for the future of collaboration in virtual environments, particularly in the AEC industry where 3D models can be imported into the virtual environment and explored synchronously by a project team.

Keywords

Architectural Design; Human Resource Management; International Trade; Bim Coordination; Collaboration Technology; Distributed Teams; Social Norm; Virtual Worlds; Communication; Design; Technology; Dimensions; Teamwork; Behavior; Collaboration Technologies; Social Norms

Architecture for Health Is Not Just for Healthcare Architects

Dannenberg, Andrew L.; Burpee, Heather. (2018). Architecture for Health Is Not Just for Healthcare Architects. Health Environments Research & Design Journal (herd) (sage Publications, Ltd.), 11(2), 8 – 12.

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Keywords

Building Design & Construction; Public Health; Quality Of Life; Built Environment; Public Spaces

The Moving to Health (M2H) Approach to Natural Experiment Research: A Paradigm Shift for Studies on Built Environment and Health

Drewnowski, A.; Arterburn, D.; Zane, J.; Aggarwal, A.; Gupta, S.; Hurvitz, P. M.; Moudon, A., V; Bobb, J.; Cook, A.; Lozano, P.; Rosenberg, D. (2019). The Moving to Health (M2H) Approach to Natural Experiment Research: A Paradigm Shift for Studies on Built Environment and Health. Ssm-population Health, 7.

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Abstract

Improving the built environment (BE) is viewed as one strategy to improve community diets and health. The present goal is to review the literature on the effects of BE on health, highlight its limitations, and explore the growing use of natural experiments in BE research, such as the advent of new supermarkets, revitalized parks, or new transportation systems. Based on recent studies on movers, a paradigm shift in built-environment health research may be imminent. Following the classic Moving to Opportunity study in the US, the present Moving to Health (M2H) strategy takes advantage of the fact that changing residential location can entail overnight changes in multiple BE variables. The necessary conditions for applying the M2H strategy to Geographic Information Systems (GIS) databases and to large longitudinal cohorts are outlined below. Also outlined are significant limitations of this approach, including the use of electronic medical records in lieu of survey data. The key research question is whether documented changes in BE exposure can be linked to changes in health outcomes in a causal manner. The use of geo-localized clinical information from regional health care systems should permit new insights into the social and environmental determinants of health.

Keywords

Body-mass Index; Neighborhood Food Environment; Residential Property-values; Cardiometabolic Risk-factors; New-york-city; Physical-activity; Obesity Rates; King County; Weight-gain; Land-use; Built Environment (be); Geographic Information Systems (gis); Electronic Medical Records; Natural Experiments; Obesity; Diabetes; Residential Mobility

Urban Systems Design: A Conceptual Framework for Planning Smart Communities

Tobey, Michael B.; Binder, Robert B.; Chang, Soowon; Yoshida, Takahiro; Yamagata, Yoshiki; Yang, Perry P. J. (2019). Urban Systems Design: A Conceptual Framework for Planning Smart Communities. Smart Cities, 2(4), 522 – 537.

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Abstract

Urban systems design arises from disparate current planning approaches (urban design, Planning Support Systems, and community engagement), compounded by the reemergence of rational planning methods from new technology (Internet of Things (IoT), metric based analysis, and big data). The proposed methods join social considerations (Human Well-Being), environmental needs (Sustainability), climate change and disaster mitigation (Resilience), and prosperity (Economics) as the four foundational pillars. Urban systems design integrates planning methodologies to systematically tackle urban challenges, using IoT and rational methods, while human beings form the core of all analysis and objectives. Our approach utilizes an iterative three-phase development loop to contextualize, evaluate, plan and design scenarios for the specific needs of communities. An equal emphasis is placed on feedback loops through analysis and design, to achieve the end goal of building smart communities.

Keywords

Urban Design; Planning Support System; Resilience; Sustainability; Economics; Human Factors; Big Data

Evidence-Driven Sound Detection for Prenotification and Identification Of Construction Safety Hazards and Accidents

Lee, Yong-Cheol; Shariatfar, Moeid; Rashidi, Abbas; Lee, Hyun Woo. (2020). Evidence-Driven Sound Detection for Prenotification and Identification Of Construction Safety Hazards and Accidents. Automation In Construction, 113.

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Abstract

As the construction industry experiences a high rate of casualties and significant economic loss associated with accidents, safety has always been a primary concern. In response, several studies have attempted to develop new approaches and state-of-the-art technology for conducting autonomous safety surveillance of construction work zones such as vision-based monitoring. The current and proposed methods including human inspection, however, are limited to consistent and real-time monitoring and rapid event recognition of construction safety issues. In addition, the health and safety risks inherent in construction projects make it challenging for construction workers to be aware of possible safety risks and hazards according to daily planned work activities. To address the urgent demand of the industry to improve worker safety, this study involves the development of an audio-based event detection system to provide daily safety issues to laborers and through the rapid identification of construction accidents. As an evidence-driven approach, the proposed framework incorporates the occupational injury and illness manual data, consisting of historical construction accident data classified by types of sources and events, into an audio-based safety event detection framework. This evidence-driven framework integrated with a daily project schedule can automatically provide construction workers with prenotifications regarding safety hazards at a pertinent work zone as well as consistently contribute to enhanced construction safety monitoring by audio-based event detection. By using a machine learning algorithm, the framework can clearly categorize the narrowed-down sound training data according to a daily project schedule and dynamically restrict sound classification types in advance. The proposed framework is expected to contribute to an emerging knowledge base for integrating an automated safety surveillance system into occupational accident data, significantly improving the accuracy of audio-based event detection.

Keywords

Construction Projects; Occupational Hazards; Construction Workers; Construction; System Safety; Video Surveillance; Work-related Injuries; Audio-based Accident Recognition; Autonomous Safety Surveillance; Construction Safety; Evidence-driven Sound Event Detection; Accident Prevention; Accidents; Audio Acoustics; Classification (of Information); Construction Industry; Health Hazards; Health Risks; Knowledge Based Systems; Learning Algorithms; Losses; Machine Learning; Monitoring; Motion Compensation; Occupational Diseases; Steel Beams And Girders; Audio-based; Construction Accidents; Construction Work Zones; Historical Construction; Sound Event Detection; State-of-the-art Technology; Vision Based Monitoring; Algorithm; System

Three Pathways to Highly Energy Efficient Buildings: Assessing Combinations of Teaming and Technology

Homayouni, Hoda; Dossick, Carrie Sturts; Neff, Gina. (2021). Three Pathways to Highly Energy Efficient Buildings: Assessing Combinations of Teaming and Technology. Journal Of Management In Engineering, 37(2).

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Abstract

Highly energy efficient (HEE) buildings require a whole-system approach to building design. Scholars have suggested many tools, techniques, and processes to address the cross-disciplinary complexities of such an approach, but how these elements might be best combined to lead to better project outcomes is yet unknown. To address this, we surveyed architects associated with 33 AIA-COTE award-winning projects on the social, organizational, and technological elements of whole-system design (WSD) practices. We then used fuzzy sets-qualitative comparative analysis (fsQCA) to analyze the interdependencies among those elements. We found three distinct pathways for the design and construction of HEE buildings: information-driven, process-driven, or organization-driven. We also found that HEE buildings share some conditions for success, including having shared goals, owners engagement in the design process, and frequent and participatory interorganizational meetings. Our findings can help practitioners strategize and make decisions on incorporating WSD elements associated with their project types. Moreover, these results provide a launchpad for scholars to investigate complementarities among elements facilitating the design and construction process of HEE projects.

Keywords

Buildings (structures); Construction; Design Engineering; Energy Conservation; Fuzzy Set Theory; Innovation Management; Organisational Aspects; Project Management; Team Working; Whole-system Approach; Building Design; Cross-disciplinary Complexities; Social Elements; Organizational Elements; Technological Elements; Whole-system Design Practices; Fuzzy Set; Distinct Pathways; Hee Buildings; Project Types; Construction Process; Hee Projects; Highly Energy Efficient Buildings; Whole-system Design; Energy Efficient Buildings; Building Information Modeling; Integrated Project Teams; Fuzzy Sets-qualitative Comparative Analysis

Prefabrication Supply Chains With Multiple Shops: Optimization For Job Allocation.

Ho, Chung; Kim, Yong-woo; Zabinsky, Zelda B. (2022). Prefabrication Supply Chains With Multiple Shops: Optimization For Job Allocation. Automation In Construction, 136.

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Abstract

Prefabrication or off-site construction is a growing trend contributing to productivity improvements. It motivates specialty contractors and suppliers to operate multiple fabrication shops close to market regions, where a shop can produce and delivery prefabricated components in a timely fashion and at a minimal cost. Few quantitative models are available to assist companies with scheduling and allocation questions. This research utilizes optimization to answer these questions supporting the production planning in prefabrication supply chains. The paper presents an optimization model that seeks minimal cost while considering job demands and shop capacities. Computational results suggest that the model generates a lower-cost production schedule than the early due date (EDD) method. It also indicates that varying due dates cause changes in total cost. Moreover, this research supports decision-makers by analyzing the impacts of changing shop capacities regarding available machines. It provides further insight into construction supply chain management with multiple shops.

Keywords

Supply Chains; Job Shops; Supply Chain Management; Production Scheduling; Production Planning; Warehouses; Construction; Modularization; Optimization; Prefabrication; Scheduling; Off-site Construction; Modular Buildings; Scheduling Model; Precast; Management; Transportation; Performance; Decisions

Maximizing Temporary Housing Safety after Natural Disasters

El-Anwar, Omar; El-Rayes, Khaled; Elnashai, Amr. (2010). Maximizing Temporary Housing Safety after Natural Disasters. Journal Of Infrastructure Systems, 16(2), 138 – 148.

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Abstract

In the aftermath of large-scale natural disasters, emergency management organizations are expected to provide safe temporary housing for a large number of displaced families and to ensure that these housing arrangements are not located in hazardous areas. Potential postdisaster hazards can take many forms such as earthquake aftershocks, landslides, postearthquake soil liquefaction, flooding, hazardous material releases, etc. This paper presents the development of a multiobjective optimization methodology to support decision-makers in emergency management organizations in optimizing postdisaster temporary housing arrangements. The developed methodology incorporates (1) a safety model to measure and quantify temporary housing safety in the presence of multiple potential postdisaster hazards; (2) a cost model to minimize total public expenditures on temporary housing; and (3) a multiobjective optimization model to simultaneously maximize temporary housing safety and minimize public expenditures on temporary housing. An application to a large region is presented to illustrate the use of the models and demonstrate their capabilities in optimizing postdisaster temporary housing arrangements.

Keywords

Earthquake; Landslides; Optimization; Temporary Housing; Postdisaster Hazards; Housing Safety; Postdisaster Recovery

The San Francisco Peninsula’s Great Estates: Part II

Streatfield, David C. (2012). The San Francisco Peninsula’s Great Estates: Part II. Eden, 15(2), 1 – 17.

Abstract

This article discusses the landscaping of American country estates built in late 19th century in San Francisco Peninsula. These estates are mentioned to have been influenced by the growing popularity of gardening in Europe. Andrew Jackson, America's first landscape architecture practitioner, is cited for promoting garden styles derived from English precedents. Some of the noteworthy estates built during the first three decades of 20th century are also described like New Place and Green Gables.

Keywords

Landscape Gardening; Country Homes; Gardening; Landscape Architecture; Europe; Jackson, Andrew

Messy Work in Virtual Worlds: Exploring Discovery and Synthesis in Virtual Teams

Dossick, Carrie Sturts(1). (2014). Messy Work in Virtual Worlds: Exploring Discovery and Synthesis in Virtual Teams. Lecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 8683, 134 – 142.

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Abstract

The challenges of engineering team collaboration—establishing trust, fostering productive informal communication, cultivating knowledge exchange—are often exacerbated in virtual teams by geographical separation as well as team members’ cultural and linguistic differences. Researchers have observed that powerful collaboration in collocated teams is supported by shared visualizations with which the team engages in informal, flexible and active ways. In studying virtual team interactions in a virtual world known as the CyberGRID, we see that just as with AEC collocated teams, shared visualizations were instrumental for the teams as they define, understand, and generate knowledge when working on interrelated tasks. Emerging from this analysis is an empirically supported theory that while avatar-model interaction supports mutual discovery, more messy interactions of brainstorming, knowledge exchange and synthesis requires flexible, active, and informal shared visualizations. © Springer International Publishing Switzerland 2014.

Keywords

Communication; Flow Visualization; Information Technology; Knowledge Management; Visualization; Building Information Model; Bim; Collaboration; Geographical Separation; Global Virtual Teams; Informal Communication; Linguistic Differences; Virtual Team Interactions; Virtual Worlds