Characterizing HCI Research in China: Streams, Methodologies and Future Directions

This position paper takes the first step to attempt to present the initial characterization of HCI research in China. We discuss the current streams and methodologies of Chinese HCI research based on two well-known HCI theories: Micro/Marco-HCI and the Three Paradigms of HCI. We evaluate the discussion with a survey of Chinese publications at CHI 2019, which shows HCI research in China has less attention to Macro-HCI topics and the third paradigms of HCI (Phenomenologically situated Interaction). We then propose future HCI research directions such as paying more attention to Macro-HCI topics and third paradigm of HCI, combining research methodologies from multiple HCI paradigms, including emergent users who have less access to technology, and addressing the cultural dimensions in order to provide better technical solutions and support

A discussion of covid-19 vaccine in relation with traditional chinese medicine belief on weibo

Traditional Chinese medicine has been influencing Chinese people for thousands of years. Vaccine, as a means of western medicine, has been on the controversial side of traditional Chinese medicine. When it comes to disease, many Chinese people make strategic decisions based on their self-diagnose. Traditional Chinese medicine is known for it has less side-effects and its holistic way of thinking – that human body needs to be in harmony with the external environment. When the balance is disrupted, the body will get sick. Vaccine, as a means of western medicine, has been standardized and has been proven effect in lab, which is on the contrast of traditional Chinese medicine. During the COVID-19 pandemic, even though government has mandated the COVID-19 vaccination, many Chinese still hold belief in traditional Chinese medicine to prevent COVID-19. Some people even regard it as a national triumph. Other people think that traditional Chinese medicine is just placebos when it comes to COVID-19 prevention. People think both medicines can work together have waited for the vaccine to come out and take traditional Chinese medicine as a supplement. This could give health communicators enlightenment about COVID-19 prevention discussions on Weibo and factors that contributes to vaccine hesitancy

A new spatial model for predicting multivariate counts : anticipating pedestrian crashes across neighborhoods and firm births across counties

textTransportation research regularly relies on data exhibiting both space and time dimensions. Thanks to the rise of smartphones, Bluetooth, and other devices, geo-referenced data collection enables application of more behaviorally realistic -- but complex -- models that account for spatial autocorrelation, temporal correlation, and possible time-space interactions (e.g., time-lagged effects from a neighboring unit's response). One promising area is crash count prediction, where crash frequencies (and severities) at zones, intersections, and along roadways will generally exhibit some spatial relationships, due to missing variables, causal mechanisms, and other ties. This dissertation work proposes and estimates a spatial multivariate count model and provides two case studies to implement such model. One case study is in the context of pedestrian-vehicle crash counts across zones in Austin, Texas, while accounting for network features (e.g., lane-miles and intersection density), land use factors (such as land use entropy and residential accessibility to commercial activities), population and job densities, and school access. The other case study pertains to new firm births by industries across U.S. counties while controlling for population density, agglomeration economies (e.g., percentage of firms with more than 100 people), wealth, and median age. The new model specification captures region-wide heterogeneity (thanks to extra variation introduced by the lognormal component in the mean crash-rate specification), correlations across two (or more) count types (in the same zone), and spatial autocorrelation among unobserved components. This new approach and associated application allow analysts to distinguish covariates' effects on multivariate crash and other counts from spatial spillover effects and cross-response correlations. This work adds to the literature by providing guidance on what types of specifications best reflect spatial count data while facilitating estimation (using large data sets) and illuminating the level and nature of spatial autocorrelation, multivariate correlation, and region-wide (latent) heterogeneity that exists in crash data after controlling for a host of observable factors.Civil, Architectural, and Environmental Engineerin

Calculation for Moment Capacity of Beam-to-Upright Connections of Steel Storage Pallet Racks

Steel storage pallet rack structures are three-dimensional framed structures, which are widely used to store different kinds of goods. For the easy accessibility to stored products, pallet racks are not usually braced in the down-aisle direction. The down-aisle stability is mostly provided by the characteristics of beam-to-upright connections, and the characteristics of upright base connections. In this paper, calculation for moment capacity of beam-to-upright connections is carried out. A mechanical model is presented firstly. Based on the model, moment capacity is related to the failure capacity, directly determined by the failure mode, of the topmost tab of the beam-end-connector and the corresponding upright wall. Different methods to predict the failure capacity are derived for two types of failure modes, i.e. crack of tab and crack of upright wall. The new method has shown a satisfactory agreement with experimental results demonstrating the reliability of the model in predicting the moment capacity of beam-to-upright connections

Experimental Analysis of Beam-to-upright Connections in Cold-formed Steel Storage Pallet Racks

A research program is currently in progress at Department of Building Engineering of Tongji University with the aim of investigating the behavior of cold-formed steel storage pallet racks under static and dynamic loading. This paper presents preliminary experimental analysis on the monotonic behavior of beam-to-upright connections. In the experimentation, the set-up was specially designed to accommodate precise requirement of boundary conditions and the measurement method was refined from the general ones used in rack design codes. It is shown that deformation modes of the connections were similar before failure while the failure modes were different depending on the specific constructional details. Moment-rotation characteristic curves are obtained and compared. On the base of these curves, the main parameters controlling the stiffness and moment capacity of connections, such as thickness of upright section, depth of pallet beam section, construction of beam end connector (mainly the number of tabs) and the loading direction are discussed

Discrimination of fabric mechanical properties and buckling deformations in a novel fabric handle evaluation system

This research is to study the characteristics of fabric properties measured in an innovative fabric test system, Leeds University Fabric Handle Evaluation System (LUFHES); it is designed for objectively evaluating fabric handle in a simpler, relatively low cost and automatic method. The quantification of fabric handle in the LUFHES is based on the energy consumption of fabric shells during their cyclic shear twisting and cyclic axial compression buckling deformations, as well as the fabric surface properties evaluated from fabric-fabric self-friction process. In this study, low stress fabric mechanical properties measured in the cyclic axial compression buckling, shear twisting and fabric-fabric friction of fabric shells in LUFHES were analysed to establish the new technological approach in relation to fabric handle analysis. In addition, the fabric properties measured in the LUFHES were compared with the fabric properties measured in fabric unidirectional deformation processes such as the Kawabata Evaluation System for Fabric (KES-F) and the Fabric Assurance by Simple Testing (FAST) to disclose the differences of these three fabric measurement systems. Properties of 29 fabrics including 12 woven fabrics, 7 knitted fabrics and 10 nonwoven fabrics were studied in this project in order to understand the mechanical properties of fabrics which are made from different fibres, having different fabric structures, fabric weight and thickness measured by using the LUFHES system. The suitable pre-tension for the LUFHES tests was determined by analysing the effect of pre-tensions on the energy consumption of various fabric deformations in cyclic fabric shell compression buckling-recovery processes, and suitable pre-tension force for fabric measurements in the LUFHES was identified in the range of 1.2N/m and 2N/m. Fabric shear and buckling properties measured in the LUFHES were compared with shear and bending properties obtained in both the KES-F and FAST systems to investigate the differences between these three systems in discriminating fabrics. It was found that fabric shear properties obtained in the FAST were different from those obtained in the LUFHES shear tests for woven fabrics due to insufficient shear deformations in woven fabrics in FAST test. It was also found that shear properties obtained in the KES-F shear tests were not in agreement with those obtained in the LUFHES tests due to greater extension forces applied on fabrics leading to greater fabric elongation before its shear test in the KES-F system for some fabrics such as knitted and nonwoven fabrics. Thus, fabric discriminations in terms of fabric shear properties obtained in these three testing systems will be different. The correlation between critical buckling force and bending properties was found to depend on the fabric types and measurement methods. Critical buckling forces of woven and nonwoven fabrics obtained in the LUFHES were found to correlate well with bending rigidity obtained in the KES-F system, while critical buckling forces of knitted fabrics correlated well with the bending rigidity obtained in the FAST system. It was found that there are several unique advantages using the fabric-fabric self- friction method in objective measurement of fabric handle over other methods such as fabric-metal and fabric-artificial finger frictions. The characteristics of fabric-fabric self-friction in the LUFHES friction test were analysed theoretically and experimentally, as well as compared with that of the KES-F fabric-sensor friction/roughness test. It was found that fabric-fabric friction coefficients obtained in LUFHES were greater and in a wider range than those obtained in the KES-F fabric-sensor friction test, and the spectrum of LUFHES fabric-fabric friction profile has advantages in differentiating the main fabric characteristic structures. In summary, the unique low-stress mechanical properties (shear and buckling) obtained in the LUFHES tests reveal insightful information of mechanical properties of fabric shell during biaxial deformations. The fabric-fabric friction was found to have advantages in discriminating fabric friction coefficient and fabric surface structures. Thus, the LUFHES has the potential to be used to sensitively evaluate fabric handle