For most applications of human-agent interaction (HAI) research, maintaining the user’s interest and continuation of interaction are the issues of primary importance. To achieve sustainable HAI, we proposed a new mod...For most applications of human-agent interaction (HAI) research, maintaining the user’s interest and continuation of interaction are the issues of primary importance. To achieve sustainable HAI, we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy its intrinsic motivation. Simulation of interaction with several types of other agents demonstrated how the model seeks new relationships with the partner and avoids situations which are not learnable. To investigate effectiveness of the model, we conducted a comparative HAI experiment with a simple interaction setting. The results showed that the model was effective in inducing subjective impressions of higher enjoyability, charm, and sustainability. Information theoretic analysis of the interaction suggested that a balanced information transfer between the agent and human partner would be important. The participants’ brain activity measured by functional near-infrared spectroscopy (fNIRS) indicated higher variability of activity at the dorsolateral prefrontal cortex during the interaction with the proposed agent. These results suggest that the intrinsically motivated adaptive agent successfully maintained the participants’ interest, by affecting their attention level.展开更多
A two-way coupling simulation from the NCAR's regional climate model REGCM2 (called R-2 hereafter) and the SUCROS model for crop growth developed by the Wageningen Agricultural University,the Netherlands (both mod...A two-way coupling simulation from the NCAR's regional climate model REGCM2 (called R-2 hereafter) and the SUCROS model for crop growth developed by the Wageningen Agricultural University,the Netherlands (both models,when in combination,denoted as R/S) are carried out on the interactions between crops and atmosphere in the Huang-Huai-Hai Plain in East China. Evidence suggests that the R/S simulations can depict pretty well the dynamic biology-based interactions between the factors,revealing reasonably both the day-to-day variations in leaf area index (LAI) and land surface physics therein,and particularly the improvement of the simulation, independently by use of the R-2,of summer precipitation and surface temperature in the research region.As a result,the present research is of significance to the further understanding of the interaction between the climate system and the terrestrial ecological systems.展开更多
文摘For most applications of human-agent interaction (HAI) research, maintaining the user’s interest and continuation of interaction are the issues of primary importance. To achieve sustainable HAI, we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy its intrinsic motivation. Simulation of interaction with several types of other agents demonstrated how the model seeks new relationships with the partner and avoids situations which are not learnable. To investigate effectiveness of the model, we conducted a comparative HAI experiment with a simple interaction setting. The results showed that the model was effective in inducing subjective impressions of higher enjoyability, charm, and sustainability. Information theoretic analysis of the interaction suggested that a balanced information transfer between the agent and human partner would be important. The participants’ brain activity measured by functional near-infrared spectroscopy (fNIRS) indicated higher variability of activity at the dorsolateral prefrontal cortex during the interaction with the proposed agent. These results suggest that the intrinsically motivated adaptive agent successfully maintained the participants’ interest, by affecting their attention level.
基金National Key Basic Research and Development Program granted by the Ministry of Science and Technology of China(MOST)with project number G1999043500the Innovation Program of the Chinese Academy of Sciences with project number ZKCX2-SW-210the National Natural Science Foundation of China(NSFC)under Grant No.49975016
文摘A two-way coupling simulation from the NCAR's regional climate model REGCM2 (called R-2 hereafter) and the SUCROS model for crop growth developed by the Wageningen Agricultural University,the Netherlands (both models,when in combination,denoted as R/S) are carried out on the interactions between crops and atmosphere in the Huang-Huai-Hai Plain in East China. Evidence suggests that the R/S simulations can depict pretty well the dynamic biology-based interactions between the factors,revealing reasonably both the day-to-day variations in leaf area index (LAI) and land surface physics therein,and particularly the improvement of the simulation, independently by use of the R-2,of summer precipitation and surface temperature in the research region.As a result,the present research is of significance to the further understanding of the interaction between the climate system and the terrestrial ecological systems.
