認知モデリングに基づく高齢者支援の試み

抄録

The research field of Intelligent Tutoring System (ITS) has so far developed an approach based on cognitive modeling to trace learning process. In our study, we apply this to support the elderly. We constructed an image recommender system comprising an ACT-R model. We built the model using a private photo library, and ran a simulation manipulating the activation noise of the declarative chunks. The noise was found to strongly influence the memory retrieval. When the noise level was low, the model retrieved a few memory items that occurred recently. On the other hand, when the noise level was high, the retrieval process was like a random walk over a memory network, with frequent recalls of old photos. The results suggest a condition of an ACT-R model can facilitate mental time travel into the distant past.