Sihui Wu


Last Name

Wu

First Name

Sihui

ORCID

0000-0003-0674-5129

Organisational unit

03356 - Grote, Gudela / Grote, Gudela

Filters

2022 - 20257
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Publications 1 - 7 of 7
  • Designing Workplace Robots: A Game for Automation and Augmentation Strategies in Construction
    Item type: Other Conference Item
    Wu, Sihui; Helmersen, Kim Norgaard; Chen, Li; et al. (2025)
    Robotics have emerged with great opportunities for the construction sector. To fully realize the technological, social, and economic benefits of construction robots, it is essential to assess their implications for worker well-being in the early design. This paper introduces BuildWork, an educational game developed for robot designers and implementers to enhance their work design considerations and support decision-making regarding automation and augmentation strategies. The game invites players to complete a simulated building project, while prompting them to consider work design criteria, worker competence and motivation, as well as robot type and autonomy. BuildWork will be piloted with industry practitioners and evaluated based on their perceived learning. The study contributes to inter- and transdisciplinary research and offers a practical tool for promoting impact-aware mindsets. It highlights the central premise that improving worker satisfaction can enhance performance outcomes.
  • Designing Workplace Robots: A Social Impact Assessment Tool for Automation and Augmentation in Construction
    Item type: Conference Poster
    Wu, Sihui; Helmersen, Kim; Chen, Li; et al. (2024)
  • Understanding Stakeholders’ Intention to Use Construction Robots: A Fuzzy-set Qualitative Comparative Analysis
    Item type: Conference Poster
    Wu, Sihui; Walzer, Alexander N.; Kahlert, Aniko; et al. (2023)
  • Transforming work, at work, with workers: A transdisciplinary approach to social impact assessment of new technologies in architecture, engineering and construction
    Item type: Other Conference Item
    Wu, Sihui; Grote, Gudela; Helmersen, Kim Norgaard (2024)
    The architecture, engineering, and construction (AEC) sector is undergoing transformation as new technologies (e.g., software tools, artificial intelligence, robotics) enter the industry and change the organization of work. The environmental and economic effects of these new technologies are already investigated, and there is a general awareness of their transformative impact. However, their social effects – from augmenting human work to full automation – remain largely unexamined. Following the argument that “new technologies should be conceived as social experiments” 2 , we combine socio-technical work design theories3 with value-sensitive design principles4 to build a social impact assessment tool which accounts for previously overlooked sustainability factors such as worker well-being, required skill sets, and job quality. Inspired by the real-world laboratory (RWL) method5 , we bring developers, implementers, and end-users of AEC technologies together in a transdisciplinary experimental set-up to develop the assessment tool. Design and construction projects by planning firms and general contractors are used as fields of action. Our instruments include workshops where stakeholders co-create and co-evaluate prototypes of the assessment tool, as well as surveys and interviews that generate feedback on the tool's applicability, acceptability, and effectiveness. The study identifies and answers to a real-world problem and provides insights into inter- and transdisciplinary research processes in an AEC context. Additionally, it contributes to the science and technology studies literature by applying the RWL method at the organizational or field level directly intervening and potentially transforming collaborative work.
  • Understanding stakeholders’ intention to use construction robots: a fuzzy-set qualitative comparative analysis
    Item type: Journal Article
    Wu, Sihui; Walzer, Alexander N.; Kahlert, Aniko; et al. (2024)
    Construction Robotics
    User acceptance is crucial for successfully adopting robotic technologies in the architecture, engineering, and construction (AEC) sector. Previous studies have focused on domestic, service, and industrial robots, leaving the construction domain unexplored. In this study, we set out to empirically understand how various dimensions of technology, environment, robot, and user lead to AEC stakeholders’ intention to use construction robots. We apply the fuzzy-set qualitative comparative analysis approach to capture the complexity of human behavior and the interdependencies across dimensions. For the data collection, we sampled 216 cases in Switzerland, Germany, and Austria evaluating three scenarios of human–robot interaction. Our analysis identifies three distinct user profiles—the lifelike robot user, the utilitarian robot user, and the lifelike-utilitarian robot user. The results show that human–robot peering may be a fundamental solution to increase user acceptance. By testing the effect of user characteristics, we also discover a lifelike-utilitarian type of robot that is more appealing to female AEC stakeholders. The study contributes to the construction robotics literature by providing tailored design and implementation strategies. It points to future research avenues such as user experience and social factors for exploring the impact of robotics and artificial intelligence in AEC.
  • Human-Robot-Interaction in Construction: Academic R&D Perspectives
    Item type: Conference Poster
    Wu, Sihui; Walzer, Alexander N.; Kahlert, Aniko; et al. (2022)
  • Future of Construction: The Augmented Revolution
    Item type: Presentation
    Wu, Sihui (2023)
Publications 1 - 7 of 7