Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 26, 2020 - November 28, 2020
For products that are connected to the cloud, such as AI speakers, and whose functions and performance are expanding over time, their true value are found by exploring unknown functions instead of using only the functions that users are familiar with. Apter' s reversal theory proposed that there are two mental conditions of motivation, telic mode and paratelic mode. People in paratelic mode act to explore the purpose. In this study, we aim to formalize a mathematical model that can explain this paratelic mode, corresponding intrinsic motivation. We propose a unified model that can explain reversal theory and Berlyne’s optimal arousal level. The proposed unified model is mathematically formulated by applying the Bayesian information gain as an index of alertness. We analyze the model mathematically and vilified the predictions obtained using two AI speakers. The prediction of the proposed model was vilified by combining the results of our previous study and the results of the subjective evaluation of this study.
