tocauthor: Yang_M* : Human-Computer Interaction Bibliography Search

Smart Ubiquitous Projection: Discovering Surfaces for the Projection of Adaptive Content Late-Breaking Works: Novel Interactions / Matulic, Fabrice / Büschel, Wolfgang / Yang, Michael Ying / Ihrke, Stephan / Ramraika, Anmol / Rother, Carsten / Dachselt, Raimund Extended Abstracts of the ACM CHI'16 Conference on Human Factors in Computing Systems 2016-05-07 v.2 p.2592-2600

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Summary: Ubiquitous projection or "display everywhere" is a popular paradigm, according to which regular rooms are augmented with projected digital content in order to create immersive interactive environments. In this work, we revisit this concept, where instead of considering every physical surface and object as a display, we seek to determine areas that are suitable for the projection and interaction with digital information. After determining a set of requirements that such surfaces need to fulfil, we describe a novel computer vision-based technique to automatically detect rectangular surface regions that are deemed adequate for projection and mark those areas as available placeholders for users to use as "clean" displays. As a proof of concept, we show how content can be adaptively laid out in those placeholders using a simple tablet UI.

Research on Interaction Design of Intelligent Mobile Phone for the Elderly Based on the User Experience The Elderly and Mobile Devices / Yang, Minggang / Huang, He ITAP 2015: First International Conference on Human Aspects of IT for the Aged Population, Part I: Design for Aging 2015-08-02 v.1 p.528-536

Keywords: Interaction design; The elderly mobile phone; User experience

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Summary: Whether in the developed or developing countries, aging of population has been a common global trend. With the development of the communication technology and the Internet era of prosperity, the elderly people also inevitably need to use modern communication products such as mobile phone so that they could keep contact with their family, children, the outside world, including quick call in case of an emergency etc. But the physiology and psychology of the elderly are very different from the young people, which mainly is reflected in the degradation of vision, hearing, touch, reaction ability, hand strength, text and graphics memory ability and so on. Thus when the elderly people are using the mobile phone there are a lot of inconvenience and special requirements by them and the user experience is also far different form the other age groups. Therefore, in the design of the mobile phone for the older age groups whether the appearance design or the interaction design should reflect on our care for this special group, to improve the usability of the product, to bring convenience for them. This paper firstly studies the physiological and psychological characteristics of the elderly. Then it analyses the behavior characteristics of the elderly in the use of mobile phone and the user experience. Moreover some principles and methods of interaction design for the elderly mo-bile phone are presented in this essay; Additionally through several practical cases of the mobile phone design for the elderly in China and by using the research method such as the user behavior analysis, user survey, Analysis of the availability of products, product evaluation, this paper will analyze and summarize the shortcomings of the current mo-bile phone for the elderly in interaction design. Finally this paper will not only point out the direction of improvement for the elderly mobile interaction design but also provide some useful suggestions and enlightenment for the elderly mobile phone design in the future.

Multi-scale Temporal Modeling for Dimensional Emotion Recognition in Video Affect / Chao, Linlin / Tao, Jianhua / Yang, Minghao / Li, Ya / Wen, Zhengqi Proceedings of the 2014 International Workshop on Audio/Visual Emotion Challenge 2014-11-07 p.11-18

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Summary: Understanding nonverbal behaviors in human machine interaction is a complex and challenge task. One of the key aspects is to recognize human emotion states accurately. This paper presents our effort to the Audio/Visual Emotion Challenge (AVEC'14), whose goal is to predict the continuous values of the emotion dimensions arousal, valence and dominance at each moment in time. The proposed method utilizes deep belief network based models to recognize emotion states from audio and visual modalities. Firstly, we employ temporal pooling functions in the deep neutral network to encode dynamic information in the features, which achieves the first time scale temporal modeling. Secondly, we combine the predicted results from different modalities and emotion temporal context information simultaneously. The proposed multimodal-temporal fusion achieves temporal modeling for the emotion states in the second time scale. Experiments results show the efficiency of each key point of the proposed method and competitive results are obtained.

Learning Compact Face Representation: Packing a Face into an int32 Posters 2 / Fan, Haoqiang / Yang, Mu / Cao, Zhimin / Jiang, Yujing / Yin, Qi Proceedings of the 2014 ACM International Conference on Multimedia 2014-11-03 p.933-936

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Summary: This paper addresses the problem of producing very compact representation of a face image for large-scale face search and analysis tasks. In tradition, the compactness of face representation is achieved by a dimension reduction step after representation extraction. However, the dimension reduction usually degrades the discriminative ability of the original representation drastically. In this paper, we present a deep learning framework which optimizes the compactness and discriminative ability jointly. The learnt representation can be as compact as 32 bit (same as the int32) and still produce highly discriminative performance (91.4% on LFW benchmark). Based on the extreme compactness, we show that traditional face analysis tasks (e.g. gender analysis) can be effectively solved by a Look-Up-Table approach given a large-scale face data set.

The Impact of Expertise on the Capture of Sketched Intentions: Perspectives for Remote Cooperative Design / Sutera, Jennifer / Yang, Maria C. / Elsen, Catherine CDVE 2014: International Conference on Cooperative Design, Visualization, and Engineering 2014-09-14 p.245-252

Keywords: Cooperative design in architecture; transfer of design intents; expertise

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Summary: The paper describes the way expertise and field-knowledge can impact the transfer of graphical intentions during architectural cooperative design. The analysis of 28 controlled experiments reveals what matters in transmitting architectural intents and more specifically underlines how novices' intuitive, deductive processes based on previous and embodied experiences interestingly complement experts' knowledge of the architectural field and its semantics. The results directly inform how we, as researchers, designers and engineers, should take advantage of both novices' and experts' strategies to develop tools, methods or interfaces to support next generation cooperative design.

Note-Taking for 3D Curricular Contents using Markerless Augmented Reality / Yang, Mau-Tsuen / Chiu, Yu-Chiao Interacting with Computers 2014-07 v.26 n.4 p.321-333

iwc.oxfordjournals.org/content/26/4/321

Summary: With the advance of pedagogical materials from printed textbooks to e-textbooks, the methods of note-taking should also be improved. For e-Learning with 3D interactive curricular contents, an ideal note-taking approach should be intuitive and tightly coupled with the curricular contents. Particularly, augmented reality (AR) technology is capable of displaying virtual contents in real-life images. Combining head-mounted displays with cameras and wearable computers, AR provides chances and challenges to improve note-taking for situated learning in contextual surroundings. We propose an AR-based note-taking system tailored for 3D curricular contents. A learner can take notes on a physical tabletop by finger writing, manipulate curricular contents using hand gestures and embed the complete notes in the corresponding contents in a 3D space. An analytic hierarchy process demonstrates the strengths and weaknesses of the proposed 3D note-taking system. Especially, note-taking using finger writing and hand gestures with 3D maneuver is better than other alternatives in terms of relevance, usefulness, intuition and novelty.

Scientific articles recommendation IR track: applications I / Li, Yingming / Yang, Ming / Zhang, Zhongfei (Mark) Proceedings of the 2013 ACM Conference on Information and Knowledge Management 2013-10-27 p.1147-1156

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Summary: We study the problem of recommending scientific articles to users in an online community and present a novel matrix factorization model, the topic regression Matrix Factorization (tr-MF), to solve the problem. The main idea of tr-MF lies in extending the matrix factorization with a probabilistic topic modeling. Instead of regularizing item factors through the probabilistic topic modeling as in the framework of the CTR model, tr-MF introduces a regression model to regularize user factors through the probabilistic topic modeling under the basic hypothesis that users share the similar preferences if they rate similar sets of items. Consequently, tr-MF provides interpretable latent factors for users and items, and makes accurate predictions for community users. Specifically, it is effective in making predictions for users with only few ratings or even no ratings, and supports tasks that are specific to a certain field, neither of which is addressed in the existing literature. Further, we demonstrate the efficacy of tr-MF on a large subset of the data from CiteULike, a bibliography sharing service dataset. The proposed model outperforms the state-of-the-art matrix factorization models with a significant margin.

Learning with limited and noisy tagging Annotation / Li, Yingming / Qi, Zhongang / Zhang, Zhongfei (Mark) / Yang, Ming Proceedings of the 2013 ACM International Conference on Multimedia 2013-10-21 p.957-966

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Summary: With the rapid development of social networks, tagging has become an important means responsible for such rapid development. A robust tagging method must have the capability to meet the two challenging requirements: limited labeled training samples and noisy labeled training samples. In this paper, we investigate this challenging problem of learning with limited and noisy tagging and propose a discriminative model, called SpSVM-MC, that exploits both labeled and unlabeled data through a semi-parametric regularization and takes advantage of the multi-label constraints into the optimization. While SpSVM-MC is a general method for learning with limited and noisy tagging, in the evaluations we focus on the specific application of noisy image tagging with limited labeled training samples on a benchmark dataset. Theoretical analysis and extensive evaluations in comparison with state-of-the-art literature demonstrate that SpSVM-MC outstands with a superior performance.

The Roles of Anxiety and Motivation in Taiwanese College Students' English Learning Productivity, Creativity, Learning and Collaboration / Yang, Mou-Tzu / Hou, Yi-an / Hou, Yen-ju / Cheng, Hsueh-yu EPCE 2013: 10th International Conference on Engineering Psychology and Cognitive Ergonomics, Part I: Understanding Human Cognition 2013-07-21 v.1 p.307-315

Keywords: Anxiety; motivation; attitude; foreign language learning; CEE; NETPAW

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Summary: The study aims to explore the roles of anxiety and motivation in foreign language learning. A total of 141 freshmen at a private university in south Taiwan served as subjects. The research instrument includes the Foreign Language Classroom Anxiety Scale (FLCAS) (Horwitz, Horwitz, & Cope, 1986), Motivation/attitude about foreign language learning (Gardner, 1985), as well as two English scores of Taiwan College Entrance Exam (CEE) and National English Test of Proficiency All on the Web (NETPAW). All available data were processed by SPSS 16 (Statistical Package of Social Science). Findings show the two English scores of CEE and NETPAW, as well as motivation, attitude and motivational intensity are strongly correlated to one another. In addition, motivational intensity is related to score of NETPAW, but anxiety is the best predictor of students' score of NETPAW positively. It's expected that the findings can provide teachers with some hints for more effective foreign language teaching and learning by being aware of students' individual differences.

Security implications of password discretization for click-based graphical passwords Research papers / Zhu, Bin B. / Wei, Dongchen / Yang, Maowei / Yan, Jeff Proceedings of the 2013 International Conference on the World Wide Web 2013-05-13 v.1 p.1581-1591

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Summary: Discretization is a standard technique used in click-based graphical passwords for tolerating input variance so that approximately correct passwords are accepted by the system. In this paper, we show for the first time that two representative discretization schemes leak a significant amount of password information, undermining the security of such graphical passwords. We exploit such information leakage for successful dictionary attacks on Persuasive Cued Click Points (PCCP), which is to date the most secure click-based graphical password scheme and was considered to be resistant to such attacks. In our experiments, our purely automated attack successfully guessed 69.2% of the passwords when Centered Discretization was used to implement PCCP, and 39.4% of the passwords when Robust Discretization was used. Each attack dictionary we used was of approximately 235 entries, whereas the full password space was of 243 entries. For Centered Discretization, our attack still successfully guessed 50% of the passwords when the dictionary size was reduced to approximately 230 entries. Our attack is also applicable to common implementations of other click-based graphical password systems such as PassPoints and Cued Click Points -- both have been extensively studied in the research communities.

Best practices for enterprise social software adoption Case studies: changing how we work / Yang, Meng / Warner, Michael / Millen, David R. Extended Abstracts of ACM CHI'13 Conference on Human Factors in Computing Systems 2013-04-27 v.2 p.2349-2350

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Summary: In this case study, we present the results of a longitudinal study of the end-user adoption of social software within a large global enterprise. Existing Technology Adoption Models (e.g., UTAUT) were extended and used as a general framework for studying user adoption. Several "best practices" to promote end-user adoption are identified and discussed, including: integration with company intranet, email notifications, evangelism programs, executive support, mandatory migration and usage, and corporate-sponsored campaigns or events.

Mining noisy tagging from multi-label space Information retrieval short paper session / Qi, Zhongang / Yang, Ming / Zhang, Zhongfei (Mark) / Zhang, Zhengyou Proceedings of the 2012 ACM Conference on Information and Knowledge Management 2012-10-29 p.1925-1929

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Summary: In this paper we study the problem of mining noisy tagging. Most of the existing discriminative classification methods to this problem only consider one tag at a time as the classification target, and completely ignore the rest of the given tags at the same time. In this paper we argue that all the given multiple tags can be utilized simultaneously as an additional feature and the information contained in the multi-label space can be taken advantage of to improve the performance of the classification. We first propose a novel distance measure to compute the distance between instances in the multi-label space. Then we propose several novel methods to incorporate the information of the multi-label space into the discriminative classification methods in one view learning or in two views learning to solve a general multi-label classification problem and to mitigate the influence of the noise in the classification. We apply the proposed solutions to the problem with a more specific context -- noisy image annotation, and evaluate the proposed methods on a standard dataset from the related literature. Experiments show that they are superior to the peer methods in the existing literature on solving the problem of mining noisy tagging.

Finding interesting posts in Twitter based on retweet graph analysis Poster abstracts / Yang, Min-Chul / Lee, Jung-Tae / Lee, Seung-Wook / Rim, Hae-Chang Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2012-08-12 p.1073-1074

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Summary: Millions of posts are being generated in real-time by users in social networking services, such as Twitter. However, a considerable number of those posts are mundane posts that are of interest to the authors and possibly their friends only. This paper investigates the problem of automatically discovering valuable posts that may be of potential interest to a wider audience. Specifically, we model the structure of Twitter as a graph consisting of users and posts as nodes and retweet relations between the nodes as edges. We propose a variant of the HITS algorithm for producing a static ranking of posts. Experimental results on real world data demonstrate that our method can achieve better performance than several baseline methods.

Specifying and running rich graphical components with Loa Models / Beaudoux, Olivier / Clavreul, Mickael / Blouin, Arnaud / Yang, Mengqiang / Barais, Olivier / Jezequel, Jean-Marc ACM SIGCHI 2012 Symposium on Engineering Interactive Computing Systems 2012-06-25 p.169-178

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Summary: Interactive system designs often require the use of rich graphical components whose capabilities go beyond the set of widgets provided by GUI toolkits. The implementation of such rich graphical components require a high programming effort that GUI toolkits do not alleviate. In this paper, we propose the Loa framework that allows both the specification of rich graphical components and their integration within running interactive applications. We illustrate the specification and integration with the Loa framework as part of a global process for the design of interactive systems.

Facial Expression Recognition for Learning Status Analysis HCI and Learning / Yang, Mau-Tsuen / Cheng, Yi-Ju / Shih, Ya-Chun HCI International 2011: 14th International Conference on Human-Computer Interaction, Part IV: Users and Applications 2011-07-09 v.4 p.131-138

Keywords: Facial expression recognition; Learning status analysis

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Summary: Facial expression provides an important clue for teachers to know the learning status of students. Thus, vision-based expression analysis is valuable not only in Human-Computer Interface but also in e-Learning. We propose a computer vision system to automatically analyze learners' video to recognize nonverbal facial expressions to discover learning status of students in distance education. In the first stage, Adaboost classifiers are applied to extract candidates of facial parts. Then spatial relationships are utilized to determine the best combination of facial features to form a feature vector. In the second stage, each feature vector sequence is trained and recognized as a specific emotional expression using Hidden Markov Model (HMM). The estimated probabilities of six expressions are combined into an expression vector. The last stage is to analyze the expression vector sequence to figure out the learning situation of the student. Gaussian Mixture Model (GMM) is applied to evaluate three learning scores (Understanding, Interaction, and Consciousness) that are integrated into a status vector. Each evaluated status vector reflects the learning status of a student and is helpful to not only teachers but also students for improving teaching and learning.

Using email to facilitate wiki-based coordinated, collaborative authoring Courriel / Chi, Changyan / Zhou, Michelle / Xiao, Wenpeng / Yang, Min / Wilcox, Eric Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011-05-07 v.1 p.3459-3468

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Summary: Dandelion is a wiki-based tool that supports coordinated, collaborative authoring. In this paper, we present an ex-tended version of Dandelion, which provides an email inter-face for users to accomplish their tasks by email in a coordinated, collaborative authoring process. Specifically, Dandelion employs a semi-structured, template-based approach that allows users to use templates to specify their requests in email. These emailed requests can be interpreted by Dandelion and are then used to automatically drive the collaboration flow. As part of its actions, Dandelion automatically creates a wiki page and dynamically updates it to record co-authoring tasks and collate co-authored content. As a result, users can use their familiar tool (email) to accomplish their tasks in a co-authoring process, while leveraging a wiki for additional benefits (e.g., obtaining collaboration awareness and formatting the text). Our preliminary study with two groups of users shows the usefulness of both Dandelion email and wiki features and their impact on collaboration effectiveness.

Caching intermediate result of SPARQL queries Poster session / Yang, Mengdong / Wu, Gang Proceedings of the 2011 International Conference on the World Wide Web 2011-03-28 v.2 p.159-160

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Summary: The complexity and growing scale of RDF data has made data management back end the performance bottleneck of Semantic Web applications. Caching is one of the ways that could solve this problem. However, few existing research projects focus on caching in RDF data processing. We present an adaptive caching scheme that caches intermediate result of basic graph pattern SPARQL queries. Benchmark test results are provided to illustrate the effectiveness of our caching scheme.

Integrating Twitter into Wiki to support informal awareness Interactive presentations / Zhao, Xuan / Xiao, Wenpeng / Chi, Changyan / Yang, Min Proceedings of ACM CSCW'11 Conference on Computer-Supported Cooperative Work 2011-03-19 p.733-736

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Summary: In the current study, we explored Twitter as a useful and practical extension to a wiki-based collaborative work space. A two-week experiment and a survey study shed some light on the potential benefits of integrating Twitter, or other existing social networking tools with a formal collaborative work space in encouraging meta-data level communication and promoting informal awareness.

Physically-based animation for realistic interactions between tree branches and raindrops Modeling and simulations / Yang, Meng / Huang, Meng-Cheng / Yang, Gang / Wu, En-Hua Proceedings of the 2010 ACM Symposium on Virtual Reality Software and Technology 2010-11-22 p.83-86

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Summary: This paper proposes a novel approach to animation realistic interactions between tree branches and raindrops in a physically-based way. A new elastic model using a three-prism structures is presented to flexibly bend and twist tree branches naturally in the first time. Various distinct forms of interactions when or after raindrops hitting on tree branches can be well simulated using a new efficient technique specially designed for liquid motion on non-rigid objects with hydrophilic surfaces. Experimental results indicate that our approach can be used to simulate the interactions between tree branches and raindrops efficiently and realistically.

Mood avatar: automatic text-driven head motion synthesis Poster session / Mu, Kaihui / Tao, Jianhua / Che, Jianfeng / Yang, Minghao Proceedings of the 2010 International Conference on Multimodal Interfaces 2010-11-08 p.37

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Summary: Natural head motion is an indispensable part of realistic facial animation. This paper presents a novel approach to synthesize natural head motion automatically based on grammatical and prosodic features, which are extracted by the text analysis part of a Chinese Text-to-Speech (TTS) system. A two-layer clustering method is proposed to determine elementary head motion patterns from a multimodal database which covers six emotional states. The mapping problem between textual information and elementary head motion patterns is modeled by Classification and Regression Trees (CART). With the emotional state specified by users, results from text analysis are utilized to drive corresponding CART model to create emotional head motion sequence. Then, the generated sequence is interpolated by spine and used to drive a Chinese text-driven avatar. The comparison experiment indicates that this approach provides a better head motion and an engaging human-computer comparing to random or none head motion.

Predicting query potential for personalization, classification or regression? Poster presentations / Chen, Chen / Yang, Muyun / Li, Sheng / Zhao, Tiejun / Qi, Haoliang Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2010-07-19 p.725-726

Keywords: classification, query potential for personalization, regression

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Summary: The goal of predicting query potential for personalization is to determine which queries can benefit from personalization. In this paper, we investigate which kind of strategy is better for this task: classification or regression. We quantify the potential benefits of personalizing search results using two implicit click-based measures: Click entropy and Potential@N. Meanwhile, queries are characterized by query features and history features. Then we build C-SVM classification model and epsilon-SVM regression model respectively according to these two measures. The experimental results show that the classification model is a better choice for predicting query potential for personalization.

Re-examination on lam% in spam filtering Poster presentations / Qi, Haoliang / Yang, Muyun / He, Xiaoning / Li, Sheng Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2010-07-19 p.757-758

Keywords: lam, measurement, spam filtering

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Summary: Logistic average misclassification percentage (lam%) is a key measure for the spam filtering performance. This paper demonstrates that a spam filter can achieve a perfect 0.00% in lam%, the minimal value in theory, by simply setting a biased threshold during the classifier modeling. At the same time, the overall classification performance reaches only a low accuracy. The result suggests that the role of lam% for spam filtering evaluation should be re-examined.

Assessing accelerometer based gait features to support gait analysis for people with complex regional pain syndrome Workshop on Affect and Behaviour Related Assistance for the Elderly / Yang, Mingjing / Zheng, Huiru / Wang, Haiying / McClean, Sally / Hall, Jane / Harris, Nigel Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments 2010-06-23 p.48

Keywords: accelerometer, complex regional pain syndrome, feature extraction, gait analysis

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Summary: In this paper, we explored the feasibility of analysing gait patterns during the Short Physical Performance Battery test by using an accelerometer to record the movement of the subject. 12 subjects with Complex Regional Pain Syndrome (CRPS) and 10 control subjects were recruited in this study. 21 gait features including temporal, frequency, regularity and symmetric information were extracted from each recording. The differences of each feature value on control subjects and patient subjects were assessed and compared. Features were selected based on the signal to noise ratio (SNR) ranking. Multilayer perceptron neural-networks were employed to differentiate between the normal and abnormal gait patterns. The result shows when using five features the best classification accuracy (97.5%) was achieved. It is feasible to discriminate the patients with CRPS from the control subjects using a small set of gait features extracted from walking acceleration data recorded during the SPPB test.

Falconer: once SIOC meets semantic search engine WWW 2010 demos / Wu, Gang / Yang, Mengdong / Wu, Ke / Qi, Guilin / Qu, Yuzhong Proceedings of the 2010 International Conference on the World Wide Web 2010-04-26 v.1 p.1317-1320

Keywords: SIOC, semantic search engine, social semantic web

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Summary: Falconer is a semantic Web search engine enhanced SIOC (Semantically-Interlinked Online Communities) application, which is designed to demonstrate the ability of accelerating the creation and reuse process of semantic Web data with easy-to-use user interfaces. In this process, semantic Web search engines feed existing semantic data into the SIOC framework, where new semantic data are composed by the community and indexed again by those search engines. Compared to existing social (semantic) Web applications, Falconer inherently conforms to SIOC specification. It provides semantic search engine based user registration suggestion, friends auto-discovery, and semantic annotation for forum post content. Another distinctive feature is that it enables users to subscribe any resource having a URI as the topic they are interested in. The relationships among users, topics, and posts are further visualized for analyzing the topic trends in the community. As all semantic data are formatted in RDF and RDFa, they can be queried with SPARQL query language.

Dandelion: supporting coordinated, collaborative authoring in Wikis Understanding comments / Chi, Changyan / Zhou, Michelle X. / Yang, Min / Xiao, Wenpeng / Yu, Yiqin / Sun, Xiaohua Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010-04-10 v.1 p.1199-1202

Keywords: awareness, collaborative authoring, coordination

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Summary: Dandelion is a tool that extends wikis to support coordinated, collaborative authoring using a tag-based approach. Specifically, users can insert tags in a wiki page to specify various co-authoring tasks. These tags can then be executed to help drive and manage the collaboration workflow, and provide content-centric collaboration awareness for all the co-authors. Four successful pilot deployments and positive user feedback show the practical value of Dandelion, especially its value in supporting a structured, collaborative authoring process often seen in business settings.