845 research outputs found
Rethinking Fashion Therapy: Theoretical and Practical Foundations for Value Creations in Clothing and Textiles Discipline
As a type of psychotherapy, fashion therapy (hereafter FT) improves mental health to enhance self-concepts through grooming behaviors in all parts of the human body including physical appearance management behaviors and fashion product consumption (Horn & Gurel, 1981;; Thompson, 1962). Until now, similar disciplines, such as psychology, women\u27s studies, and art therapy studies, have provided academic and empirical grounds for FT studies. Based on the literature reviews, this study suggests academic reasons why CT should prosper FT studies
A Study on Exploring People’s Affinity for Solitude
This study sought to investigate solitude as a phenomenon. People’s affinity for solitude and the antecedents of affinity for solitude were of crucial interest to the study because affinity for solitude has been considered a strong determinant of solitude behavior. Based on the review of existing solitude studies, major constructs believed to comprise an empirical model were theoretically and operationally defined: affinity for solitude, general attitudes toward solitude, subjective norms, perceived control, extraversion, intended solitude behavior, and actual solitude behavior. The relationships among latent factors were hypothesized for empirical tests.
A questionnaire was designed to measure the above constructs. Several items were based on previous studies although several items were developed by the investigator. A total of 395 college students, 162 male and 233 female students completed an online survey in exchange for extra credit. Preliminary analysis indicated the internal consistency of the battery of measurement scales used in this study were highly reliable; the measurement test also provided empirical evidence of the construct validity of the developed measures.
A test of the hypothesized model of people’s affinity for solitude revealed that there were well-defined path relationships between latent factors with a good fit between the measures and the sample data. Findings revealed that general attitudes toward solitude and subjective norms positively contributed to affinity for solitude; while extraversion negatively influenced affinity for solitude. Affinity for solitude effectively predicted intended solitude behavior and actual solitude behavior. Additionally, the study found that subjective norms and general attitudes toward solitude also significantly predicted intended solitude behavior.
A model of people’s affinity for solitude and solitude behavior allowed us to analytically view the latent social and cognitive factors that significantly inform people’s affinity for solitude and their solitude behavior. This study is valuable in two ways. First, theoretical and empirical approaches derived from this current study suggest ways of conceptualizing solitude attitudes and behavior. Second, study findings account for the antecedents and consequences of affinity for solitude.
Theoretical relations and several implications associated with college students and recreation management were presented. Additionally, the limitations of the study followed by suggestions for improvements and possible directions for future research were discussed
FoX: Formation-aware exploration in multi-agent reinforcement learning
Recently, deep multi-agent reinforcement learning (MARL) has gained
significant popularity due to its success in various cooperative multi-agent
tasks. However, exploration still remains a challenging problem in MARL due to
the partial observability of the agents and the exploration space that can grow
exponentially as the number of agents increases. Firstly, in order to address
the scalability issue of the exploration space, we define a formation-based
equivalence relation on the exploration space and aim to reduce the search
space by exploring only meaningful states in different formations. Then, we
propose a novel formation-aware exploration (FoX) framework that encourages
partially observable agents to visit the states in diverse formations by
guiding them to be well aware of their current formation solely based on their
own observations. Numerical results show that the proposed FoX framework
significantly outperforms the state-of-the-art MARL algorithms on Google
Research Football (GRF) and sparse Starcraft II multi-agent challenge (SMAC)
tasks.Comment: 7 pages main, 5 pages appendix with reference. 10 figures, submitted
for AAA
Dirichlet process approach for radio-based simultaneous localization and mapping
Due to 5G millimeter wave (mmWave), spatial channel parameters are becoming
highly resolvable, enabling accurate vehicle localization and mapping. We
propose a novel method of radio simultaneous localization and mapping (SLAM)
with the Dirichlet process (DP). The DP, which can estimate the number of
clusters as well as clustering, is capable of identifying the locations of
reflectors by classifying signals when such 5G signals are reflected and
received from various objects. We generate birth points using the measurements
from 5G mmWave signals received by the vehicle and classify objects by
clustering birth points generated over time. Each time we use the DP clustering
method, we can map landmarks in the environment in challenging situations where
false alarms exist in the measurements and change the cardinality of received
signals. Simulation results demonstrate the performance of the proposed scheme.
By comparing the results with the SLAM based on the Rao-Blackwellized
probability hypothesis density filter, we confirm a slight drop in SLAM
performance, but as a result, we validate that it has a significant gain in
computational complexity
Examination of Environmental Factors Influencing the Emission Rates of Semivolatile Organic Compounds
Some types of semivolatile organic compounds (SVOCs) that are emitted from plastics used in building materials and household appliances have been associated with health risks, even at low concentrations. It has been reported that di-2-ethylhexyl phthalate (DEHP)—one of the most commonly used plasticizers—causes asthma and allergic symptoms in children at home. The amount of emitted DEHP, which is classified as a SVOC, can be measured using a microchamber by the thermal desorption test chamber method. To accurately measure the SVOC emission rates, the relation between SVOC and environmental factors should be clarified. Herein, we examined the effects of the temperature, relative humidity, concentration of airborne particles, and flow field in the microchamber on SVOC emission rates. The flow fields inside the microchamber were analyzed via computational fluid dynamics (CFD). The emission rate of SVOC released from PVC flooring increased under high temperatures and at high concentrations of airborne particles but did not depend on the relative humidity. From an evaluation performed using an index of air change efficiency, such as the air age and the coefficient of air change performance, we found that a fixed air exchange rate of 1.5 h−1 in the microchamber is desirable
Electric generator embedded in cellular phone for self-recharge
Nowadays, due to the development of information industry and technologies, the objective of cellular phone is not only to communicate, but also to give people various functions such as e-banking, web surfing and even excitement and fun. Because of increased usage of the cellular phone, the available time of the phone rechargeable battery is getting shorter. Therefore, in order to extend the serviceable time of the rechargeable battery, we propose self-generation system using a tubular type of permanent magnet linear self-generator (TPMLG) which can be embedded in cellular phone. The vibrational model is studied utilizing the mechanical resonance and the magnetic circuit such as permanent magnet, steel yoke and coil is designed to improve electricity generation. To investigate the electric characteristics of designed generation system, the transient finite element analysis using commercial software “MAXWELL” is performed
, , and to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue
This paper presents a method for building a personalized open-domain dialogue
system to address the (, , and
) problem for natural response generation in a commercial
setting, where personalized dialogue responses are heavily interleaved with
casual response turns. The proposed approach involves weighted dataset
blending, negative persona information augmentation methods, and the design of
personalized conversation datasets to address the challenges of
in personalized, open-domain dialogue systems. Our work effectively balances
dialogue fluency and tendency to ground, while also introducing a response-type
label to improve the controllability and explainability of the grounded
responses. The combination of these methods leads to more fluent conversations,
as evidenced by subjective human evaluations as well as objective evaluations.Comment: Accepted in ACL 2023 Industry Trac
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