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Given little light has been shed on the preference of Generation Z tourists or tourists from different cultural backgrounds toward service robot preference in hospitality contexts, this study aims to explore robot service preferences in the accommodation sector in the Chinese market, with a specific focus of Generation Z customers.

This study followed an exploratory sequential research design including two qualitative methods (i.e. projective techniques and semistructured interviews) to reach its objectives.

This study suggests that service robots are more preferred for routine tasks and gender differences exist in the preference of service robot’s anthropomorphism level. The preferences are driven by four factors based on different levels of hedonic and utilitarian values: experienced-hedonic value, utilitarian-hedonic value, task-relevant value and utilitarian value.

First, because of the exploratory nature of this study, the data interpretation is unavoidably subjective; therefore, the results can be confirmed by using a more rigorous research method. Second, this study only focuses on the preference of Generation Z customers in China in the hotel sector; as the cultural differences exist in different countries, this study’s findings cannot be readily generalized across populations and service contexts. Finally, this study fails to dig into the effect of gender differences on varying levels of anthropomorphic attributes.

As hotels adopt service robots more widely, managers need to identify customers’ service preferences and prioritize tasks between robots and human resources for more efficient service. Particularly important is understanding the benefits and challenges of specific robot implementations rather than looking for a one-size-fits-all mode of operation.

To the best of the authors’ knowledge, this is the first study to understand robot service preference with regard to specific tourist groups in illustrating their preference for service delivery. Drawing on self-determination theory, this study potentially provides a theoretical basis for hotel service process optimization.

本研究从接待业情景出发, 针对中国Z世代游客在住宿业环境下对机器人服务使用偏好进行了探索性研究, 并对导致该偏好所产生的关键因素进行了探索。

本研究遵循了探索性次序研究设计步骤, 通过投射技术和半结构化访谈相结合的定性方法对本文研究目标进行了回答。

研究表明, 顾客对服务机器人日常服务事项表现出明显偏好, 但是, 对于服务机器人的拟人化水平偏好存在性别化差异。根据享乐主义和实用主义价值的不同维度角来看, 游客偏好差异的产生主要受到四种价值取向驱动, 包括：1）享乐—体验价值驱动; 2）实用—享乐价值驱动; 3）任务相关价值驱动; 4）实用价值驱动。

由于本研究是探索性研究, 且对投射技术和半结构化访谈数据的解释具有一定主观性, 建议未来通过更加严格的研究方法来验证分析结果。此外, 由于是在中国酒店行业特殊的语境和背景下进行的研究, 存在一定跨国文化差异, 其结论在跨种族和跨服务背景的适用性仍待进一步验证。最后, 本研究未能进一步深入探讨性别差异对不同层次拟人化属性的影响。

随着服务机器人在酒店业的普及, 管理者需要识别顾客的服务偏好, 在具体任务分配过程中, 需要对服务机器人和员工的使用安排进行优先等级划分, 以此全面提高服务效率。最重要的是, 要充分了解使用机器人的利与弊, 而不是通过一刀切的方式管理酒店服务。

本研究首次对特定游客群体（Z世代）对于服务机器人使用偏好进行了研究, 从自主决策理论出发阐述了他们对服务提供者的使用偏好差异及其驱动因素, 为优化酒店服务流程提供了理论指导和实证证据。

Este estudio se diseñó bajo una investigación secuencial exploratoria que incluyó dos métodos cualitativos (es decir, técnicas proyectivas y entrevistas semiestructuradas) para alcanzar sus objetivos.

Dado que se ha arrojado poca luz sobre la preferencia de los turistas de la Generación Z o de los turistas de diferentes orígenes culturales hacia los servicios de robótica en el sector alojativo, este estudio tiene como objetivo explorar las preferencias de servicios de robots en el sector del alojamiento en China, con un enfoque específico hacia la Generación Z.

Este estudio sugiere que los robots de servicio son más preferidos para tareas rutinarias, existiendo diferencias de género en la preferencia del nivel de antropomorfismo del robot de servicio. Las preferencias están impulsadas por cuatro factores basados en diferentes niveles de valores hedónicos y utilitarios: 1) valor hedónico experimentado, 2) valor hedónico utilitario, 3) valor relevante para la tarea y 4) valor utilitario.

Primero, debido a la naturaleza exploratoria de este estudio, la interpretación de los datos es inevitablemente subjetiva, por lo tanto, los resultados pueden confirmarse utilizando un método de investigación más riguroso. Además, este estudio solo se enfoca en la preferencia de los clientes de la Generación Z para el sector hotelero en China, ya que las diferencias culturales existentes en diferentes países, no pueden generalizarse fácilmente entre poblaciones y contextos de servicio. Por último, este estudio no profundiza en el efecto de las diferencias de género en los distintos niveles de atributos antropomórficos.

A medida que los hoteles vayan adoptando servicios con robots, los gerentes deberían identificar las preferencias de servicio de los clientes y priorizar tareas para robots o para recursos humanos cara a un servicio más eficiente. Particularmente importante es comprender los beneficios y desafíos de las implementaciones de robots específicos, en lugar de buscar un modo de operación único para todos.

Este es el primer estudio que comprende la preferencia de servicios de robots con respecto a grupos de turistas específicos para ilustrar su preferencia por la prestación de servicios. Basándose en la teoría de la autodeterminación, este estudio proporciona potencialmente una base teórica para la optimización del proceso de servicio del hotel.

A consistent implementation of the general computational framework of unified second-order time accurate integrators via the well-known GSSSS framework in conjunction with the traditional Finite Difference Method is presented to improve the numerical simulations of reactive two-phase flows.

In the present paper, the phase interaction evaluation in the present implementation of the reactive two-phase flows has been derived and implemented to preserve the consistency of the correct time level evaluation during the time integration process for solving the two phase flow dynamics with reactions.

Numerical examples, including the classical Sod shock tube problem and a reactive two-phase flow problem, are exploited to validate the proposed time integration framework and families of algorithms consistently to second order in time accuracy; this is in contrast to the traditional practices which only seem to obtain first-order time accuracy because of the inconsistent time level implementation with respect to the interaction of two phases. The comparisons with the traditional implementation and the advantages of the proposed implementation are given in terms of the improved numerical accuracy in time. The proposed approaches provide a correct numerical simulation implementation to the reactive two-phase flows and can obtain better numerical stability and computational features.

The new algorithmic framework and the consistent time level evaluation extended with the GS4 family encompasses a multitude of past and new schemes and offers a general purpose and unified implementation for fluid dynamics.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Examines the fifthteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Examines the fourteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The purpose of this paper is to present new implementation aspects of unified explicit time integration algorithms, called the explicit GS4-II family of algorithms, of a second-order time accuracy in all the unknowns (e.g. positions, velocities, and accelerations) with particular attention to the moving-particle simulation (MPS) method for solving the incompressible fluids with free surfaces.

In the present paper, the explicit GS4-II family of algorithms is implemented in the MPS method in the following two different approaches: a direct explicit formulation with the use of the weak incompressibility equation involving the (modified) speed of sound; and a predictor-corrector explicit formulation. The first approach basically follows the concept of the explicit MPS method, presented in the literature, and the latter approach employs a similar concept used in, for example, a fractional-step method in computational fluid dynamics.

Illustrative numerical examples demonstrate that any scheme within the proposed algorithmic framework captures the physics with the necessary second-order time accuracy and stability.

The new algorithmic framework extended with the GS4-II family encompasses a multitude of pastand new schemes and offers a general purpose and unified implementation.

Walking-aid exoskeletons can assist and protect effectively the group with lower limb muscle strength decline, workers, first responders and military personnel. However, there is almost no united control strategy that can effectively assist daily walking. This paper aims to propose a hybrid oscillators’ (HOs) model to adapt to irregular gait (IG) patterns (frequent alternation between walking and standing or rapid changing of walking speed, etc.) and generate compliant and no-delay assistive torque.

The proposed algorithm, HOs, combines adaptive oscillators (AOs) with phase oscillator through switching assistive mode depending on whether or not the AOs' predicting error of hip joint degree is exceeded our expectation. HOs can compensate for delay by predicting gait phase when in AOs mode. Several treadmill and free walking experiments are designed to test the adaptability and effectiveness of HOs model under IG.

The experimental results show that the assistive strategy based on the HOs is effective under IG patterns, and delay is compensated totally under quasiperiodic gait conditions where a smoother human–robot interaction (HRI) force and the reduction of HRI force peak are observed. Delay compensation is found very effective at improving the performance of the assistive exoskeleton.

A novel algorithm is proposed to improve the adaptability of a walking assist hip exoskeleton in daily walking as well as generate compliant, no-delay assistive torque when converging.

Strain sensors have been widely used to measure the strain of the structure. However, the ordinary sensing elements are not suitable for measuring large deformation on an irregular surface, which limits their applications. Recently, flexible sensors have attracted extensive interest because they can overcome the shortage of the ordinary sensing elements. The paper aims to discuss this issue.

In this paper, the whole measurement process of strain sensing behavior and the dimension design of fle3xible strain sensing system use the macroscopic measurement method of material tensile test to accurately measure the resistance change with strain. Afterwards, combining electrical components, the flexible strain sensors are produced for two biomedical applications: the wearable data-collecting gloves and rehabilitation training system.

The results show that the developed conductive fabric can exhibit high sensitivity, large workable strain range (>50 percent) under simple and repeated tension and good stability. Both applications demonstrate that the polypyrrole-coated fabric sensor can successfully measure the large and repeat strain, capture the motion of body and display corresponding information almost in real time.

The limitation lies in the lack of a holistic strain sensing mechanism study, and the lack of a corresponding theoretical model to explain the experimental results.

With the rapid development of social media, the occurrence and evolution of emergency events are often accompanied by massive users' expressions. The fine-grained analysis on users' expressions can provide accurate and reliable information for event processing. Hence, 2,003,814 expressions on a major malignant emergency event were mined from multiple dimensions in this paper.

This paper conducted finer-grained analysis on users' online expressions in an emergency event. Specifically, the authors firstly selected a major emergency event as the research object and collected the event-related user expressions that lasted nearly two years to describe the dynamic evolution trend of the event. Then, users' expression preferences were identified by detecting anomic expressions, classifying sentiment tendencies and extracting topics in expressions. Finally, the authors measured the explicit and implicit impacts of different expression preferences and obtained relations between the differential expression preferences.

Experimental results showed that users have both short- and long-term attention to emergency events. Their enthusiasm for discussing the event will be quickly dispelled and easily aroused. Meanwhile, most users prefer to make rational and normative expressions of events, and the expression topics are diversified. In addition, compared with anomic negative expressions, anomic expressions in positive sentiments are more common. In conclusion, the integration of multi-dimensional analysis results of users' expression preferences (including discussion heat, preference impacts and preference relations) is an effective means to support emergency event processing.

To the best of the authors' knowledge, it is the first research to conduct in-depth and fine-grained analysis of user expression in emergencies, so as to get in-detail and multi-dimensional characteristics of users' online expressions for supporting event processing.

This research aims to examine the influence of workers' identification with their supervisors on safety behaviour in construction projects.

Employing the job demands–resources theory, this research tested the relationships among relational identification as a personal resource, respectful engagement as a job resource, employee safety voice as a positive work behaviour and safety behaviour as the outcome. Partial least squares structural equation modelling (PLS-SEM) was used to analyse 120 quantitative data collected using a questionnaire survey.

Relational identification, which reflects workers' identification with their supervisors, is a significant predictor of safety behaviour. Furthermore, respectful engagement and employee safety voice sequentially mediate the relationship between relational identification and safety behaviour.

The internalisation of safety norms, values and practices in construction projects is contingent on the identification of workers with their supervisors.

Safety behaviour of workers is a significant predictor of safety performance in construction projects. Research on numerous antecedents of safety behaviour points out that leadership is a significant predictor of construction workers' safe behaviour. Contributing to research on construction safety leadership, this research found that leader-subordinate relationship is key to make construction workers more psychologically ready to internalise the importance of safety behaviours at work.