We introduced the HCLINT-DT framework to support the spread of human collaborative intelligence by leveraging DT and XR paradigms. To validate such an approach, we assessed a use case involving family photo albums through an online survey. The results show a general agreement on the ease of use of the AR interface and the overall experience, even if there was only a partial agreement in preferring AR. We also explored the adaptability of the proposed approach considering a use case drawn from a local industrial electrical engineering context. Here, the HCLINT-DT showed a good adaptability level. Further investigations could involve: (a) improving annotations retrieval, (b) analyzing how this annotation system could support machines (learning), and, (c) understanding more deeply the impact of such systems on human activities. Finally, instances of this framework could be created for additional areas and domains, other than the considered ones (e.g., education, marketing).
EXtended Reality Spurs Digital Twin Collaborations
Beijing Zhongke Journal Publising Co. Ltd.
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