In an era where digital transformation shapes most facets of business and society, haptic Design Thinking workshops emerge as a valuable driver to foster co-creation and human-centric design among interacting stakeholders. Still, a need persists to capture workshop results in a digital and machine-processable manner. Scene2Model exemplifies these capabilities by enabling an automated transformation of physical scenes into conceptual modeling-based representations. To support this process, novel features are introduced within this work that leverage generative Artificial Intelligence (AI), such as Large Language Model-based object description and attribute generation, along with comprehensive scene summaries. Moreover, the application of the Scene2Model tool in collective intelligence environments is supported by automated postings of results, thus exemplifying the potential to enhance collaborative evaluation and feedback. This approach emphasizes the potential of combining haptic Design Thinking with advanced AI technologies, marking a significant advancement in the refinement of Digital Twins for Haptic Design Thinking.

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