tocauthor: Luo_Q* : Human-Computer Interaction Bibliography Search

Data Edibilization: Representing Data with Food alt.chi: Food Fictions / Wang, Yun / Ma, Xiaojuan / Luo, Qiong / Qu, Huamin Extended Abstracts of the ACM CHI'16 Conference on Human Factors in Computing Systems 2016-05-07 v.2 p.409-422

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Summary: Data communication is critical in data science. We propose data edibilization, i.e., encoding data with edible materials, as a novel approach to leverage multiple sensory channels to convey data stories. We conduct a preliminary data tasting workshop to explore how users interact with and interpret data edibilization. Based on the participants' feedback, we summarize the advantages of edibilization in terms of attractiveness, richness, memorability, affectiveness, and sociability. We also identify several challenges with data edibilization. We discuss possible pragmatic processes, enabling technologies, and potential research opportunities to provide insights into the design space of data edibilization and its practicality.

Research on Health Management System Based on Clouding Computing HCI in Health / Luo, Qi / Zhang, Tianbiao HCI International 2015: 17th International Conference on HCI: Posters' Extended Abstracts, Part II 2015-08-02 v.5 p.340-344

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Summary: Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. The health management system based on clouding computing was proposed in the paper. The system is composed of the following modules such as client module, expert module, healthy management organizations module, accumulated points and rank management module, task listing and evaluation module, cloud server network platform module. Though application in the system, the individual user data has no longer stored in the medical institution, but the individual user data has stored in the cloud server, which can be accessed anytime and anywhere. A large number of servers are composed of statistical and learning distributed platform. Behavior information and physical data can be extracted from the mass data automatically, which can be output factors and standardization of physical data. The same type of samples is extracted, which can achieve a group of experts and users by many-to-many model. Health standards databases are constructed though bidirectional user and expert evaluation. The system is an open and interactive system among user, health management organization and expert.

Research on Intelligent Exercise Prescription System for Civil Servant Fitness and Well-Being Applications / Luo, Qi / Deng, Wei HCI International 2015: 17th International Conference on HCI: Posters' Extended Abstracts, Part II 2015-08-02 v.5 p.463-466

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Summary: Public servant refers to the people who work in the government institutions of various levels and execute the mission of state administrative functions and powers. Civil servant is in sub-health status and is high dangerous group of some chronics. Civil servant has a highly recognition about the value of sport for health and has desire to participate in it. But because some objective and subjective reasons, Civil servant cannot participate in exercise and is lack of targeted and scientific. The intelligent exercise prescription system for civil servant has been proposed by the following method such as literature, expert interviews, experimental test, software engineering method, data mining, system dynamics modeling. The intelligent exercise prescription system based theory on artificial intelligence and assessment of fitness-health include these achievements. The intelligent exercise prescription system is the life-style and rest/work system and chronics of civil servant taken into account deeply so as to ensure the feasibility and targeted and scientific of exercise prescription.

Study on Three Dimensions Body Reconstruction and Measurement by Using Kinect Modelling Posture and Motion / Luo, Qi DHM 2014: 4th International Conference on Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management 2014-06-22 p.35-42

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Summary: A point cloud is a set of data points in some coordinate system. Point clouds may be created by Three Dimensions scanners. These devices measure in an automatic way a large number of points on the surface of an object, and often output a point cloud as a data file. The point cloud represents the set of points that the device has measured. Using Microsoft Kinect to obtain the depth body data and get the depth image. In this paper, the function and the depth scanning principle of the Microsoft Kinect has been researched. The concept of Point cloud has been also introduced. Point cloud data processing has been proposed in the paper. First, the depth data obtained by Kinect are transformed into the form of Three Dimensions point cloud to store and visualize. And then, make rejections, filtering, and simplification for point cloud. Finally In the process of simplification, we take the advantage of the minimum distance method and the angular deviation method, an improved self-adapting method of simplification was introduced in the paper.

The Possibility of Human-Better Centered Design Design Methods, Techniques and Knowledge / Ni, Haiying / Luo, Qi / Chen, Yan HCI International 2014: 16th International Conference on HCI: Posters' Extended Abstracts, Part I 2014-06-22 v.4 p.53-57

Keywords: Human-centered; human-better centered; Buddhism

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Summary: The assumption of the "human" has not been agreed universally in Human-centered design. As the aim of design is to solve human's problem, the evaluation standard of a "good" design is ambiguous in this context. The marketing designs based on the usage of the weaknesses of human nature, which cause the impulse buying and the immersion of online games easier, made people depressed. The traditional "human" assumption is based on cognition and social requirements. The former should be respected but the latter need a reconsideration. Inspirations from Buddhism are proposed as a solution to the evaluation standard and the problem of "depression": the general "good" standard transcended culture and religions is happiness based on Dependent Arising, which means to be a "better" existence and realizing the responsibility of self, for both designers and users.

Research and Simulation on Virtual Movement Based on Kinect Interaction Devices, Displays and Techniques in VAMR / Luo, Qi / Yang, Guohui VAMR 2013: 6th International Conference on Virtual, Augmented and Mixed Reality, Part I: Designing and Developing Virtual and Augmented Environments 2014-06-22 v.1 p.85-92

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Summary: Kinect is a line of motion sensing input devices by Microsoft for Xbox 360 and Xbox One video game consoles and Windows PCs. Based around a webcam-style add-on peripheral, it enables users to control and interact with their console/computer without the need for a game controller, through a natural user interface using gestures and spoken commands. The virtual simulation system is designed in the paper. Key Technologies of the Simulation System based on Virtual movement such us Characters in skinned binding technology, Kinect data capture, Movement data extraction and processing model, Depth of the image to bone, Sports redirection module and Skeleton model with motion data node bound are introduced in the paper.

FD-buffer: a buffer manager for databases on flash disks Poster session 1: DB track / On, Sai Tung / Li, Yinan / He, Bingsheng / Wu, Ming / Luo, Qiong / Xu, Jianliang Proceedings of the 2010 ACM Conference on Information and Knowledge Management 2010-10-26 p.1297-1300

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Summary: We design and implement FD-Buffer, a buffer manager for database systems running on flash-based disks. Unlike magnetic disks, flash media has an inherent read-write asymmetry: writes involve expensive erase operations and as a result are usually much slower than reads. Therefore, we address this asymmetry in FD-Buffer. Specifically, we use the average I/O cost per page access as opposed to the traditional miss rate as the performance metric for a buffer. We develop a new replacement policy in which we separate clean and dirty pages into two pools. The size ratio of the two pools is automatically adapted to the read-write asymmetry and the runtime workload. We evaluate FD-Buffer with trace-driven experiments on real flash disks. Our evaluation results show that our algorithm achieves up to 33% improvement on the overall performance on commodity flash disks, in comparison with the state-of-the-art flash-aware replacement policy.

A large-scale study on map search logs / Xiao, Xiangye / Luo, Qiong / Li, Zhisheng / Xie, Xing / Ma, Wei-Ying ACM Transactions on The Web 2010-07 v.4 n.3 p.8

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Summary: Map search engines, such as Google Maps, Yahoo! Maps, and Microsoft Live Maps, allow users to explicitly specify a target geographic location, either in keywords or on the map, and to search businesses, people, and other information of that location. In this article, we report a first study on a million-entry map search log. We identify three key attributes of a map search record -- the keyword query, the target location and the user location, and examine the characteristics of these three dimensions separately as well as the associations between them. Comparing our results with those previously reported on logs of general search engines and mobile search engines, including those for geographic queries, we discover the following unique features of map search: (1) People use longer queries and modify queries more frequently in a session than in general search and mobile search; People view fewer result pages per query than in general search; (2) The popular query topics in map search are different from those in general search and mobile search; (3) The target locations in a session change within 50 kilometers for almost 80% of the sessions; (4) Queries, search target locations and user locations (both at the city level) all follow the power law distribution; (5) One third of queries are issued for target locations within 50 kilometers from the user locations; (6) The distribution of a query over target locations appears to follow the geographic location of the queried entity.

Browsing on small displays by transforming Web pages into hierarchically structured subpages / Xiao, Xiangye / Luo, Qiong / Hong, Dan / Fu, Hongbo / Xie, Xing / Ma, Wei-Ying ACM Transactions on The Web 2009-01 v.3 n.1 p.4

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Summary: We propose a new Web page transformation method to facilitate Web browsing on handheld devices such as Personal Digital Assistants (PDAs). In our approach, an original Web page that does not fit on the screen is transformed into a set of subpages, each of which fits on the screen. This transformation is done through slicing the original page into page blocks iteratively, with several factors considered. These factors include the size of the screen, the size of each page block, the number of blocks in each transformed page, the depth of the tree hierarchy that the transformed pages form, as well as the semantic coherence between blocks. We call the tree hierarchy of the transformed pages an SP-tree. In an SP-tree, an internal node consists of a textually enhanced thumbnail image with hyperlinks, and a leaf node is a block extracted from a subpage of the original Web page. We adaptively adjust the fanout and the height of the SP-tree so that each thumbnail image is clear enough for users to read, while at the same time, the number of clicks needed to reach a leaf page is few. Through this transformation algorithm, we preserve the contextual information in the original Web page and reduce scrolling. We have implemented this transformation module on a proxy server and have conducted usability studies on its performance. Our system achieved a shorter task completion time compared with that of transformations from the Opera browser in nine of ten tasks. The average improvement on familiar pages was 44%. The average improvement on unfamiliar pages was 37%. Subjective responses were positive.

Academic conference homepage understanding using constrained hierarchical conditional random fields KM: information extraction / Xin, Xin / Li, Juanzi / Tang, Jie / Luo, Qiong Proceedings of the 2008 ACM Conference on Information and Knowledge Management 2008-10-26 p.1301-1310

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Summary: We address the problem of academic conference homepage understanding for the Semantic Web. This problem consists of three labeling tasks -- labeling conference function pages, function blocks, and attributes. Different from traditional information extraction tasks, the data in academic conference homepages has complex structural dependencies across multiple Web pages. In addition, there are logical constraints in the data. In this paper, we propose a unified approach, Constrained Hierarchical Conditional Random Fields, to accomplish the three labeling tasks simultaneously. In this approach, complex structural dependencies can be well described. Also, the constrained Viterbi algorithm in the inference process can avoid logical errors. Experimental results on real world conference data have demonstrated that this approach performs better than cascaded labeling methods by 3.6% in F1-measure and that the constrained inference process can improve the accuracy by 14.3%. Based on the proposed approach, we develop a prototype system of use-oriented semantic academic conference calendar. The user simply needs to specify what conferences he/she is interested in. Subsequently, the system finds, extracts, and updates the semantic information from the Web, and then builds a calendar automatically for the user. The semantic conference data can be used in other applications, such as finding sponsors and finding experts. The proposed approach can be used in other information extraction tasks as well.

Adaptive label-driven scaling for latent semantic indexing Posters group 4: theory and IR models / Quan, Xiaojun / Chen, Enhong / Luo, Qiming / Xiong, Hui Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008-07-20 p.827-828

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Summary: This paper targets on enhancing Latent Semantic Indexing (LSI) by exploiting category labels. Specifically, in the term-document matrix, the vector for each term either appearing in labels or semantically close to labels is scaled before performing Singular Value Decomposition (SVD) to boost its impact on the generated left singular vectors. As a result, the similarities among documents in the same category are increased. Furthermore, an adaptive scaling strategy is designed to better utilize the hierarchical structure of categories. Experimental results show that the proposed approach is able to significantly improve the performance of hierarchical text categorization.

The Experimental Approaches of Assessing the Consistency of User Interface Part 2: Usability and Evaluation Methods and Tools / Chen, Yan / Huang, Lixian / Li, Lulu / Luo, Qi / Wang, Ying / Xu, Jing HCI International 2007: 12th International Conference on Human-Computer Interaction, Part I: Interaction Design and Usability 2007-07-22 v.1 p.420-427

Keywords: consistency; user experience; usability testing

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Summary: Consistency, as one of the most important features of usability, has been using as an important indicator of accessing usability. A number of studies recently have focused on how to create consistency in a single application, but few of them have noted how to create and evaluate the consistency across products in a same company. In this paper, we addressed the problem by using two methods, in-complete matching task and the methods of paired comparison, to analyze the distinction among the competitive products and evaluate the consistency of the current products. The study finds that these two methods can relative rapidly identify the performances of consistency between different products and be able to find out some design elements impacting the consistency. However, as the object of the study in this experiment is only involved in the login interface, the applicability of the method needs further studies.

Study on Speech Emotion Recognition System in E-Learning Part II: Adaptive, Intelligent and Emotional User Interfaces / Zhu, Aiqin / Luo, Qi HCI International 2007: 12th International Conference on Human-Computer Interaction, Part III: HCI Intelligent Multimodal Interaction Environments 2007-07-22 v.3 p.544-552

Keywords: E-learning; SFS; GRNN; MNN; Affective computing

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Summary: Aiming at emotion deficiency in present E-Learning system, speech emotion recognition system is proposed in the paper. A corpus of emotional speech from various subjects, speaking different languages is collected for developing and testing the feasibility of the system. The potential prosodic features are first identified and extracted from the speech data. Then we introduce a systematic feature selection approach which involves the application of Sequential Forward Selection (SFS) with a General Regression Neural Network (GRNN) in conjunction with a consistency-based selection method. The selected features are employed as the input to a Modular Neural Network (MNN) to realize the classification of emotions. Our simulation experiment results show that the proposed system gives high recognition performance.

EOS: expertise oriented search using social networks Social networks / Li, Juanzi / Tang, Jie / Zhang, Jing / Luo, Qiong / Liu, Yunhao / Hong, Mingcai Proceedings of the 2007 International Conference on the World Wide Web 2007-05-08 p.1271-1272

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Summary: In this paper, we present the design and implementation of our expertise oriented search system, EOS www.arnetminer.net. EOS is a researcher social network system. It has gathered information about a half-million computer science researchers from the Web and constructed a social network among the researchers through their co-authorship. In particular, the relationship in the social network information is used in both ranking experts for a given topic and searching for associations between researchers. Our experimental results demonstrate that the proposed methods for expert finding and association search in a social network are both more effective and efficient than the baseline methods.