13197 research outputs found
Sort by
Hype Dlive: ジドウ ソウコウジ ニ オケル トウジョウシャ ノ カイテキセイ コウジョウ ノ タメ ノ タイカンガタ オンガク ライブ システム
No full text自動走行時の搭乗者へのストレス要因には，予測困難な加減速や経路変更に伴う車両挙動からのストレスがある．快適な自動走行車実現のための挙動制御や情報提示によるストレス軽減手法の研究はあるが，体感型エンタテインメントへの応用によるストレス軽減及び発散の手法は未だ少ない．本稿では，音楽ライブ特有のモッシュという周囲の観客との接触を，ヘッドマウントディスプレイやモーションプラットフォームを用いた視覚・聴覚・触覚・前庭覚への刺激により再現可能な体感型音楽ライブシステム「Hype Dlive」を提案し，自動走行ストレスの軽減を目指す．technical repor
User intent estimation during robot learning using physical human robot interaction primitives
No full textAs robotic systems transition from traditional setups to collaborative work spaces, the prevalence of physical Human Robot Interaction has risen in both industrial and domestic environments. A popular representation for robot behavior is movement primitives which learn, imitate, and generalize from expert demonstrations. While there are existing works in context-aware movement primitives, they are usually limited to contact-free human robot interactions. This paper presents physical Human Robot Interaction Primitives (pHRIP), which utilize only the interaction forces between the human user and robot to estimate user intent and generate the appropriate robot response during physical human robot interactions. The efficacy of pHRIP is evaluated through multiple experiments based on target-directed reaching and obstacle avoidance tasks using a real seven degree of freedom robot arm. The results are validated against Interaction Primitives which use observations of robotic trajectories, with discussions of future pHRI applications utilizing pHRIP.journal articl
The relationship between Hikikomori risk factors and social withdrawal tendencies among emerging adults$2014An exploratory study of Hikikomori in Singapore
No full textIntroduction: Once a localized Japanese phenomenon, Hikikomori-type social withdrawal has since been observed globally in increasing numbers. However, there is a lack of research about Hikikomori in Singapore. Consequently, local variations of Hikikomori may differ from past research in Japan. Drawing on associations found in international and Japanese Hikikomori research, we explored some variables relevant and generalizable to the Singaporean context. Specifically, we examined the relationships between (1) Hikikomori risk factors, (2) social withdrawal tendencies, (3) depression and anxiety, (4) connections with family and friends, and (5) employment status.
Methods: In a cross-sectional survey study (N = 416; Mage = 24.90, SDage = 4.79; females = 236, males = 177, undisclosed = 3), participants were provided a Qualtrics link and asked to complete a questionnaire comprising the NHR scale, LSNS-6, DASS-21, ERQ, and HQ-25.
Results: We found that (a) Hikikomori risk factors positively correlated with social withdrawal tendencies and depression and anxiety but negatively correlated with support from family and friends, (b) high Hikikomori risk factors predicted high social withdrawal tendencies, (c) support from friends (one of the psychosocial factors) predicted social withdrawal tendencies together with the Hikikomori risk factors, and (d) social withdrawal tendencies moderated the relationship between Hikikomori risk factors and depression among the emerging adults in Singapore.
Conclusion: The current research findings serve as a basis for future Hikikomori research in Singapore.journal articl
An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
Get PDFHeatstroke is a concern during sudden heat waves. We designed and prototyped an Internet of Things system for heatstroke prevention, which integrates physiological information, including deep body temperature (DBT), based on the dual-heat-flux method. A dual-heat-flux thermometer developed to monitor DBT in real-time was also evaluated. Real-time readings from the thermometer are stored on a cloud platform and processed by a decision rule, which can alert the user to heatstroke. Although the validation of the system is ongoing, its feasibility is demonstrated in a preliminary experiment.journal articl
Joint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization
No full textPrevious studies on the timeline summarization (TLS) task ignored the information interaction between sentences and dates, and adopted pre-defined unlearnable representations for them. They also considered date selection and event detection as two independent tasks, which makes it impossible to integrate their advantages and obtain a globally optimal summary. In this paper, we present a joint learning-based heterogeneous graph attention network for TLS (HeterTls), in which date selection and event detection are combined into a unified framework to improve the extraction accuracy and remove redundant sentences simultaneously. Our heterogeneous graph involves multiple types of nodes, the representations of which are iteratively learned across the heterogeneous graph attention layer. We evaluated our model on four datasets, and found that it significantly outperformed the current state-of-the-art baselines with regard to ROUGE scores and date selection metrics.conference pape
Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians’ Gaze Behavior with Situation Awareness and Perceived Risks
No full textInteractions between pedestrians and autonomous personal mobility vehicle (APMV) will increase with the popularity of autonomous driving systems. However, when the APMVs are applied in a mixed traffic environment after manual driving PMV (MPMV) have been popular, pedestrians may feel unsafe in the interactions when they are uncertain about the driving intention of the APMV. This study seeks to find a surrogate measure for pedestrians’ understanding of driving intention and perceived safety during the interaction with an APMV. We conducted an experiment to measure the gaze duration and subjective evaluations of the participants when they interacted with a PMV in manual and autonomous driving modes. Pedestrians fixed their gaze at the APMV longer when they did not accurately understand the driving intention than when they understood it. Furthermore, the pedestrians perceived danger when they did not clearly understand the driving intention of the APMV. Besides, these factors were different when pedestrians interact with an MPMV and an APMV.journal articl
Toward Understanding the Effects of Visual and Tactile Stimuli to Reduce the Sensation of Movement with XR Mobility Platform
Get PDFThis paper investigates a reduction method for passenger's movement sensation with the XR mobility platform mounted on an autonomous vehicle to improve passenger comfort during auto-driving. We investigate a reduction method that controls passenger's sense of movement by controlling visual and tactile perception using a multimodal XR mobility platform which consists of an immersive display and a motion platform with a tilting seat. The result of 30 subjects shows the sense of movement perceived by the passenger was reduced significantly when both visual acceleration and tactile acceleration control method was activated inside a moving autonomous vehicle.conference pape
A Distributed Asynchronous Heuristic Algorithm in Generalized Mutual Assignment Problem
No full textGeneralized Mutual Assignment Problem (GMAP) is a multi-agent based distributed combinatorial optimization where the agents try to obtain the most profitable job assignment. Since it is NP-hard problem, it is challenging to achieve feasible solutions of GMAP. Existing algorithms to solve GMAP are synchronous ones, that is, the performance of the entire system would deteriorate if a certain agent takes a long time to solve her own subproblem. Furthermore, topology of communication networks strictly depends on the structure of a given instance due to the way of decomposing the problem into subproblem. In this paper, we propose a novel distributed asynchronous heuristic algorithm based on the Lagrangian decomposition formulation in order to obtain feasible solutions as good as possible. Our proposed algorithm consists of a couple of parts. One is to check the feasibility of candidate feasible solutions and the other is to solve the Lagrangian dual problem to generate a variety of candidates. Both of them are based on asynchronous gossip algorithms which are sometimes introduced for modeling rumor spreading phenomena or calculating an average value of sensors, where only two agents communicate with each other at one iteration. Our experiments show the effectiveness of the proposed method.journal articl