Language：English   Publishing type：Research paper (scientific journal)   Publisher：2022 IEEE/SICE International Symposium on System Integration, SII 2022  

Recently, many researchers in the mobile robot field study how to realize socially-aware navigation in human-robot coexisting spaces. However, we have fundamental questions: how can be the socially-aware behavior defined and classified? Our work aims to provide the answers and is divided into two major studies; defining the socially-aware behavior in terms of the traffic psychology and extracting specific patterns to understand the behavior. For the first study, we designed simulation experiments based on the traffic psychology. In the experiments, participants operated an ego-agent to a destination with three different instructions; cooperative, urgent, and non-urgent. We also analyzed differences of the navigation styles and found that the statistical trend of the ego-motion is different in each style. However, it is difficult to find specific patterns in relation between the ego-motion and surrounding situations. This paper focuses on the second study and presents a classification method of the navigation styles using persistent homology (PH). We consider that implicit patterns could be extracted from surrounding situations by PH because it could enable to find specific patterns from data even when they seem to be distributed randomly. Results show the possibility that the PH-based method could acquire effective information for the classification.

DOI： 10.1109/SII52469.2022.9708804

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Scopus

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Proceedings of the 43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021  

The development of mobility technologies has led to the concept of shared spaces. In the shared space, mobilities and pedestrians share a single common space. Compared to conventional separated spaces, cooperative behaviors are critical in shared spaces because all agents can move freely at their own speed and in their directions with few constraints. An experiment was conducted using indices for own cost, others’ benefit, and own loss to reveal the nature of the cooperative behaviors associated with moving. We found that compared to when people are encouraged to behave without urgency, they frequently change their speed and direction so as not to interrupt others and reach their destination more quickly when people are required to behave cooperatively. Therefore, it was concluded that both others’ benefit and one’s own benefit are critical for cooperative behaviors when moving in shared spaces.

Scopus

Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEEE  

Safety and acceptability are the main concerns in the design of driver assistance systems. However, these two requirements sometimes conflict with each other depending on the situation and the driver. This conflict is particularly emphasized in the case of elderly drivers. To solve this problem, this paper proposes a driver-vehicle cooperation scheme, an "instructor-like assisting control" consisting of model predictive constraint satisfaction and a multi-modal human-machine interface. The proposed assisting scheme is expected to improve the drivers' inherent driving characteristics, which is recognized as a "coaching effect" in cognitive science. This effect was verified by long-term experiments over one month using a driving simulator.

DOI： 10.1109/IECON48115.2021.9589646

Web of Science

Scopus

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-030-50537-0_3

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019  

Users sometimes face anomalous behaviors of systems, such as machine failures and autonomous agents. Predicting such behaviors of systems is difficult. We investigate the benefits of the memory-based strategy, which focuses on memorization of instances to predict anomalous and regular behaviors of the system, with ACT-R simulations with a cognitive model. In this study, we presumed the parameters defining the encoding processes on anomalous instances and regular instances in the model of the memory-based strategy and performed simulations to verify how these two parameters influence prediction performance. The results of simulations showed that (1) regular instances are not encoded as default values in the memory-based strategy and that (2) such inactivity on regular instances suppresses commission errors of regular instances and does not suppress commission errors of anomalous instances nor omission errors.

Scopus

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japanese Cognitive Science Society  

 Advanced driving assistance system supports human drivers in two ways. First, the system provides information about the surrounding environment and encourages drivers to change their behavior. Second, the system intervenes in driving behavior directly to assure the safety. Such a system makes two different effects on drivers. The first is a cognitive effect, which includes drivers' subjective evaluations about the system. The second is a behavioral effect, which includes drivers' behavioral changes after driving with the system. We examined how information presentation and behavioral intervention affect drivers in both cognitive and behavioral aspects. The results show that information presentation makes a significant effect on drivers' behavioral changes after driving with the system while behavioral intervention makes a significant effect on drivers' evaluations about the system.

DOI： 10.11225/jcss.25.324

CiNii Books

J-GLOBAL

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Japanese Society for Artificial Intelligence  

DOI： 10.11517/jsaialst.79.0_10

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japanese Cognitive Science Society  

Reconstructing explanations perform a crucial role not only in the progress of science,<br>but in educational practice and daily activities including comprehension of phenomena.<br> We focused on the transition of attention on a key fact that contradicts the preceding<br> explanation and has a central role in its reconstruction. We used a short story as an<br> experimental material in which the participants first constructed a prior explanation<br> and reconstructed it. The experimental results are summarized as follows. First, when<br> the prior explanation was rejected, a new explanation was required, after attention on<br> the key fact was inhibited. Second, hypothesized premises not inconsistent with the<br> prior explanation were sought to protect the prior explanation. Third, the explanation<br> reconstruction was facilitated by having the participants focus on the key fact. Last,<br>attention on the key fact was recovered through explanation reconstruction.

DOI： 10.11225/jcss.22.223

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012  

Reconstructing explanations is crucial for the progress of science. We focused on the transition of interest in a key fact that contradicts the preceding explanation and has a central role in its reconstruction. We used a short story as an experimental material in which the participants first constructed a naïve explanation and reconstructed it. First, when the naïve explanation was rejected, a new explanation was required, after interest in the key fact was inhibited. Second, hypothesized premises not inconsistent with the naïve explanation were sought to protect the naïve explanation. Third, interest in the key fact was recovered through the process of the explanation reconstruction. Last, we facilitated the explanation reconstruction by having the participants focus on the key fact.

Scopus

Event date： 2022

Language：English   Presentation type：Oral presentation (general)  

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Other Link： https://dblp.uni-trier.de/db/conf/sii/sii2022.html#AkaiMMHM22

Event date： 2021.9

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Event date： 2021.7

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Event date： 2021

Language：English   Presentation type：Oral presentation (general)  

Safety and acceptability are the main concerns in the design of driver assistance systems. However, these two requirements sometimes conflict with each other depending on the situation and the driver. This conflict is particularly emphasized in the case of elderly drivers. To solve this problem, this paper proposes a driver-vehicle cooperation scheme, an "instructor-like assisting control" consisting of model predictive constraint satisfaction and a multi-modal human-machine interface. The proposed assisting scheme is expected to improve the drivers' inherent driving characteristics, which is recognized as a "coaching effect" in cognitive science. This effect was verified by long-term experiments over one month using a driving simulator.

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Other Link： https://dblp.uni-trier.de/db/conf/iecon/iecon2021.html#YamaguchiMSM21

Event date： 2020.9

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Event date： 2020.9

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Venue：Palais des congrès de Montréal  

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Other Link： http://dblp.uni-trier.de/db/conf/cogsci/cogsci2012.html#conf/cogsci/TeraiMM12

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