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Researchers discuss whether open-plan offices (OPO) and activity-based offices (ABWs) promote performance and work satisfaction, resulting in long-term productivity. In a prior work, the optimal work spot is estimated based on the environmental comfort; they did not take work objective, which is associated with communication, privacy, and territoriality, into account. We propose a machine learning (ML) framework that estimates the optimal work spot in accordance with work objective. Using our framework, when you come to your office, the optimal work spot is automatically estimated.
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