A Novel Crowdsourcing-based Approach for Collaborative Architectural Design

Dortheimer, Jonathan; Neuman, Eran; Milo, Tova

doi:10.52842/conf.ecaade.2020.2.155

Cited by 8 publications

(6 citation statements)

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“…Oxman and Gu posit that crowdsourcing, diverging from traditional hierarchical codesign models, represents a promising concept in distributed, collective, and open design processes. 45 The effectiveness of crowdsourcing-based approaches in collaboratively generating architectural artefacts is also confirmed by Dortheimer et al 46 In our context, the CC strategy, augmented by crowdsourcing applications and virtual platforms, was employed to collect on-site perceptual data and facilitate co-ideation. The interconnected contributions can be articulated as follows:…”

Section: Discussionsupporting

confidence: 70%

Reclaiming site analysis from co-sensing to co-ideation: A collective cartography strategy and tactical trajectories

Heyik,

OZER,

Abarca-Alvarez

et al. 2024

International Journal of Architectural Computing

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This study introduces a collective cartography strategy for analyzing complex urban spaces. It was applied during a 7-day Erasmus + workshop with 46 participants from universities in Spain, Turkey, Portugal, and Poland, representing various backgrounds such as urban planning, architecture, heritage, information technologies, and tourism. The workshop's objective was to identify critical urban issues and generate sustainable and multisensory urban space concepts. The impact of this strategy, from co-sensing to co-ideation, was evaluated by its influence on collaboration and the development of self-generated tactics during the process. Within this context, we explored various group tactics, including multisensor data collection, multi-criteria-based analysis, crowdsourcing for site diagnosis, and distributed collaboration to enhance diverse perspectives and narratives. The findings, outputs, and reflections from participants indicate highly interactive, productive, and inclusive co-creation settings. These were facilitated through a web-based virtual collective space (Doyoucity) and a crowdsourcing mobile app for on-site data collection and analysis (Fulcrum).

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Section: Discussionsupporting

confidence: 70%

Reclaiming site analysis from co-sensing to co-ideation: A collective cartography strategy and tactical trajectories

Heyik,

OZER,

Abarca-Alvarez

et al. 2024

International Journal of Architectural Computing

View full text Add to dashboard Cite

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“…Furthermore, the GPT-3 model could not acknowledge that it did not know some information. Similarly, a study on prompting generative image models for design highlighted the unpredictability and challenges of using these models (Dortheimer et al, 2023b). The impact of prompts on model outputs and prompting techniques are active areas of natural language processing research (White et al, 2023).…”

Section: Chatbots and The Automation Of Conversationmentioning

confidence: 99%

Evaluating large-language-model chatbots to engage communities in large-scale design projects

Dortheimer,

Martelaro,

Sprecher

et al. 2024

AIEDAM

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Recent advances in machine learning have enabled computers to converse with humans meaningfully. In this study, we propose using this technology to facilitate design conversations in large-scale urban development projects by creating chatbot systems that can automate and streamline information exchange between stakeholders and designers. To this end, we developed and evaluated a proof-of-concept chatbot system that can perform design conversations on a specific construction project and convert those conversations into a list of requirements. Next, in an experiment with 56 participants, we compared the chatbot system to a regular online survey, focusing on user satisfaction and the quality and quantity of collected information. The results revealed that, with regard to user satisfaction, the participants preferred the chatbot experience to a regular survey. However, we found that chatbot conversations produced more data than the survey, with a similar rate of novel ideas but fewer themes. Our findings provide robust evidence that chatbots can be effectively used for design discussions in large-scale design projects and offer a user-friendly experience that can help to engage people in the design process. Based on this evidence, by providing a space for meaningful conversations between stakeholders and expanding the reach of design projects, the use of chatbot systems in interactive design systems can potentially improve design processes and their outcomes.

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“…First, such workshops largely take place as one-off activities in the early stage of the design process. [64][65][66][67] As a result, stakeholders primarily only "participate" when the design concepts are in the form of written design briefs or rudimentary two-dimensional sketches, and their involvement becomes obsolete once the design ideas become more complex. 68 Second, these workshops are primarily single-site activities that are not accessible to those who are geographically dispersed 14,69 , thus sidelining their voices in the design process.…”

Section: Participatory Turn In Spatial Designmentioning

confidence: 99%

“…However, the inability to engage participants in interactive activities at the same level as synchronous workshops is a known limitation of the ARC method. 10,11 Yet others explored alternative approaches to stakeholder engagement, such as crowdsourcing data, 25,90 creative crowdsourcing, 67,68 participatory GIS, [91][92][93] sensing technologies and the Internet of Things (IoTs), 94,95 blockchain technologies, 96 and serious games, 97,98 among others. Despite the breakthroughs that came with these endeavors, challenges remain when it comes to balancing between fostering meaningful participation and scaling up the reach of participation.…”

Section: Scaling Up Via New Technologiesmentioning

confidence: 99%

When design workshops meet chatbots: Meaningful participation at scale?

Yang,

Dortheimer,

Sprecher

et al. 2024

International Journal of Architectural Computing

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This paper explores the potential of chatbots, powered by large language models, as a tool for fostering community participation in architectural and urban design. By taking a hybrid approach to community participation in a real-world mixed-use building project, in which we integrated remote chatbot engagements with face-to-face workshops, we explored the potential for a hybrid approach to scaling up the reach of participation while ensuring that such participation is meaningful, genuine, and empowering. Our findings suggest that a hybrid approach amplified the strengths and mitigated the shortcomings of the two methods. The chatbot was effective in sustaining the length of participation, broadening the reach of participation, and creating a personalized environment for introspection. Meanwhile, the face-to-face workshops still played a crucial role in bolstering community ties and trust. This research contributes to understanding chatbots’ strengths and weaknesses in participatory processes, both within spatial design and beyond. In addition, it informs future explorations of participatory processes that span different spatial-temporal configurations.

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A Novel Crowdsourcing-based Approach for Collaborative Architectural Design

Cited by 8 publications

References 0 publications

Reclaiming site analysis from co-sensing to co-ideation: A collective cartography strategy and tactical trajectories

Reclaiming site analysis from co-sensing to co-ideation: A collective cartography strategy and tactical trajectories

Evaluating large-language-model chatbots to engage communities in large-scale design projects

When design workshops meet chatbots: Meaningful participation at scale?

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