The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam beberapa tahun kebelakangan ini, teknologi pemanduan autonomi sedang dibangunkan untuk kenderaan dan peranti mobiliti peribadi termasuk kereta golf dan kerusi roda autonomi untuk pelbagai kes penggunaan, bukan sahaja kawasan luar tetapi dalam kawasan seperti pusat beli-belah, hospital dan airpot. Tujuan utama membangunkan kenderaan autonomi ini adalah untuk mengelakkan kemalangan jalan raya yang disebabkan oleh kesilapan manusia, untuk membantu orang ramai berjalan, dan untuk meningkatkan keselesaan manusia dengan melepaskan mereka daripada memandu. Kebanyakan penyelidikan yang berkaitan memberi tumpuan kepada kecekapan dan keselamatan pemanduan autonomi, namun, untuk digunakan oleh orang ramai dalam masyarakat, adalah penting untuk mempertimbangkan keselesaan penumpang di dalam kenderaan serta keselamatan dan kecekapan. Oleh itu, dalam kerja ini, kami menekankan kepentingan untuk mempertimbangkan keselesaan penumpang dalam mereka bentuk gelung kawalan navigasi autonomi untuk konsep kecerdasan selesa dalam mobiliti autonomi masa hadapan. Selain itu, ciri penumpang, dari segi keselesaan perjalanan dalam kenderaan autonomi, belum disiasat berkaitan keselamatan dan keselesaan, bergantung pada pengalaman pemanduan, tabiat, pengetahuan, personaliti dan keutamaan setiap penumpang. Masih terdapat beberapa kajian mengenai pengoptimuman kawalan pemanduan autonomi yang mencerminkan ciri penumpang dan faktor tekanan yang berbeza semasa perjalanan. Dalam kajian ini, ciri tekanan penumpang dengan faktor tekanan berbeza dianalisis secara objektif menggunakan indeks fisiologi (denyutan jantung dan sensor tindak balas kulit galvanik) semasa penggunaan kerusi roda autonomi. Dua keputusan eksperimen berbeza daripada 12 peserta mencadangkan bahawa sentiasa terdapat sekurang-kurangnya dua jenis penumpang: satu yang mengalami tekanan dan satu lagi tidak, bergantung pada faktor tekanan yang dipertimbangkan. Selain itu, berkenaan dengan keputusan klasifikasi bagi kaedah pengurangan tekanan, terdapat dua jenis kumpulan penumpang, yang mana kaedah penyelesaiannya, masing-masing, sama ada berkesan atau tidak berkesan.
Taishi SAWABE
Nara Institute of Science and Technology
Masayuki KANBARA
Nara Institute of Science and Technology
Norihiro HAGITA
Advanced Telecommunications Research Institute International
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Salinan
Taishi SAWABE, Masayuki KANBARA, Norihiro HAGITA, "Comfortable Intelligence for Evaluating Passenger Characteristics in Autonomous Wheelchairs" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 9, pp. 1308-1316, September 2018, doi: 10.1587/transfun.E101.A.1308.
Abstract: In recent years, autonomous driving technologies are being developed for vehicles and personal mobility devices including golf carts and autonomous wheelchairs for various use cases, not only outside areas but inside areas like shopping malls, hospitals and airpots. The main purpose of developing these autonomous vehicles is to avoid the traffic accidents caused by human errors, to assist people with walking, and to improve human comfort by relieving them from driving. Most relevant research focuses on the efficiency and safety of autonomous driving, however, in order to use by the widespread of people in the society, it is important to consider passenger comfort inside vehicles as well as safety and efficiency. Therefore, in this work, we emphasize the importance of considering passenger comfort in designing the control loop of autonomous navigation for the concept of comfortable intelligence in the future autonomous mobility. Moreover, passenger characteristics, in terms of ride comfort in an autonomous vehicle, have not been investigated with regard to safety and comfort, depending on each passenger's driving experience, habits, knowledge, personality, and preference. There are still few studies on the optimization of autonomous driving control reflecting passenger characteristics and different stress factors during the ride. In this study, passenger stress characteristics with different stress factors were objectively analyzed using physiological indices (heart rate and galvanic skin response sensors) during autonomous wheelchair usages. Two different experimental results from 12 participants suggest that there are always at least two types of passengers: one who experiences stress and the other who does not, depending on the stress factors considered. Moreover, with regard to the classification result for the stress reduction method, there are two types of passenger groups, for whom the solution method is, respectively, either effective or ineffective.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1308/_p
Salinan
@ARTICLE{e101-a_9_1308,
author={Taishi SAWABE, Masayuki KANBARA, Norihiro HAGITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Comfortable Intelligence for Evaluating Passenger Characteristics in Autonomous Wheelchairs},
year={2018},
volume={E101-A},
number={9},
pages={1308-1316},
abstract={In recent years, autonomous driving technologies are being developed for vehicles and personal mobility devices including golf carts and autonomous wheelchairs for various use cases, not only outside areas but inside areas like shopping malls, hospitals and airpots. The main purpose of developing these autonomous vehicles is to avoid the traffic accidents caused by human errors, to assist people with walking, and to improve human comfort by relieving them from driving. Most relevant research focuses on the efficiency and safety of autonomous driving, however, in order to use by the widespread of people in the society, it is important to consider passenger comfort inside vehicles as well as safety and efficiency. Therefore, in this work, we emphasize the importance of considering passenger comfort in designing the control loop of autonomous navigation for the concept of comfortable intelligence in the future autonomous mobility. Moreover, passenger characteristics, in terms of ride comfort in an autonomous vehicle, have not been investigated with regard to safety and comfort, depending on each passenger's driving experience, habits, knowledge, personality, and preference. There are still few studies on the optimization of autonomous driving control reflecting passenger characteristics and different stress factors during the ride. In this study, passenger stress characteristics with different stress factors were objectively analyzed using physiological indices (heart rate and galvanic skin response sensors) during autonomous wheelchair usages. Two different experimental results from 12 participants suggest that there are always at least two types of passengers: one who experiences stress and the other who does not, depending on the stress factors considered. Moreover, with regard to the classification result for the stress reduction method, there are two types of passenger groups, for whom the solution method is, respectively, either effective or ineffective.},
keywords={},
doi={10.1587/transfun.E101.A.1308},
ISSN={1745-1337},
month={September},}
Salinan
TY - JOUR
TI - Comfortable Intelligence for Evaluating Passenger Characteristics in Autonomous Wheelchairs
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1308
EP - 1316
AU - Taishi SAWABE
AU - Masayuki KANBARA
AU - Norihiro HAGITA
PY - 2018
DO - 10.1587/transfun.E101.A.1308
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2018
AB - In recent years, autonomous driving technologies are being developed for vehicles and personal mobility devices including golf carts and autonomous wheelchairs for various use cases, not only outside areas but inside areas like shopping malls, hospitals and airpots. The main purpose of developing these autonomous vehicles is to avoid the traffic accidents caused by human errors, to assist people with walking, and to improve human comfort by relieving them from driving. Most relevant research focuses on the efficiency and safety of autonomous driving, however, in order to use by the widespread of people in the society, it is important to consider passenger comfort inside vehicles as well as safety and efficiency. Therefore, in this work, we emphasize the importance of considering passenger comfort in designing the control loop of autonomous navigation for the concept of comfortable intelligence in the future autonomous mobility. Moreover, passenger characteristics, in terms of ride comfort in an autonomous vehicle, have not been investigated with regard to safety and comfort, depending on each passenger's driving experience, habits, knowledge, personality, and preference. There are still few studies on the optimization of autonomous driving control reflecting passenger characteristics and different stress factors during the ride. In this study, passenger stress characteristics with different stress factors were objectively analyzed using physiological indices (heart rate and galvanic skin response sensors) during autonomous wheelchair usages. Two different experimental results from 12 participants suggest that there are always at least two types of passengers: one who experiences stress and the other who does not, depending on the stress factors considered. Moreover, with regard to the classification result for the stress reduction method, there are two types of passenger groups, for whom the solution method is, respectively, either effective or ineffective.
ER -