AAI 2014 Keynote/Invited Speeches
IIAI AAI / ACIS SERA 2014 Keynote address 1
"Facilitating Large-scale Collective Discussion"
Takayuki Ito

Takayuki Ito, Ph.D.
Nagoya Institute of Technology, Japan
email: ito [AT] nitech.ac.jp
Abstract: Online direct democratic discussions have received much attention and are likely to be one of the next generation methods for open and public citizen forums. Such forums require systematic methodologies that can efficiently achieve consensuses, reasonably integrate ideas, and avoid flaming. We developed an open web-based forum system with facilitator support functions and deployed it for an internet-based town meeting in Nagoya, Japan as a city project led by its mayor. Our system is called COLLAGREE: COLLective/COLLaborative and AGREEment. In COLLAGREE, people can submit their opinions as a chunk of text as in ordinary forums on Facebook or Twitter, and facilitators can submit their own instruction messages to participants. We want discussions that can be adequately led by facilitators so that many people can be persuaded to accept the final decision. In fact, real-world workshops or town meetings among citizens are usually coordinated by a facilitator who coordinates, leads, integrates, classifies, and summarizes discussions to reach good consensuses or alternatives. The main issue is how to support facilitators so that they can manage largescale discussions. COLLAGREE provides support functions for facilitators. For example, using text-based sentiment analysis, our system automatically judges the degree of agreement on one message. Nagoya in Aichi Prefecture has over three million people. After three months of preparation with its city officers, we created an internet-based town meeting about the city's planning. Mayor Kawamura announced this project in newspapers and on TV as one actual town meeting of the Nagoya Next Generation Total City Planning for 2014-2018. Our experiment ran on COLLAGREE system during a twoweek period with nine expert facilitators from the Facilitators Association of Japan. COLLAGREE gathered 266 registered participants, 1,151 opinions, 3,072 visits, and 18,466 views. The total of 1,151 opinions greatly exceeded the 463 opinions obtained by previous real-world town meetings. Our preliminary results demonstrated that COLLAGREE successfully gathered many more opinions than comparable real-world town meetings and people accepted the importance of facilitators.

Bibliography: Dr. Takayuki ITO is Professor of Nagoya Institute of Technology (NIT). He received Doctor of Engineering from NIT in 2000. He was Research Fellow of the Japan Society for the Promotion of Science (JSPS), and Associate Professor of Japan Advanced Institute of Science and Technology (JAIST). He was Visiting Researcher at USC, Harvard University and MIT Sloan School of Management. He is a board member of IFAAMAS, PC-chair of AAMAS2013, PRIMA2009, and was a SPC/PC member in many top-level conferences (IJCAI, AAMAS, ECAI, AAAI, etc). He received the JSPS Prize, 2014, the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology (Research Category), 2013, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology (Young Scientist Prize), 2007, AAMAS2006 Best Paper Award, and several other awards. He was Principle Investigator of the Japan Cabinet Funding Program for Next Generation World-Leading Researchers (NEXT Program).

IIAI AAI / ACIS SERA 2014 Keynote address 2
"Recent Advances in Digital Forgery and Information Forensics"
Chi-Man Pun

Chi-Man Pun, Ph.D.
University of Macau, China
Address: email: cmpun [AT] umac.mo
Abstract: Along with the development of computer technology and the popularity of software for multimedia information processing, digital forgery is increasingly easily to achieve, which reduces the credibility of the multimedia data such as digital images, videos and audios greatly. Therefore, digital forgery detection and information forensics have been becoming more and more important in recent years. Among the existing kinds of digital forgeries, copy-move forgery is one of the most common ones, which is to paste a copied region of an image into another part of the same image. During the copy and move operation, some image processing methods such as rotation, scaling, blurring, compression, and noise addition are applied to ensure the imperceptibility of the copied region; however, which can increase the difficulties of forgery detection at the same time. In this talk, we will study the recent advances of digital forgery and information forensics techniques and the related detection methods such as copy-move or splicing forgeries, and multimedia data authentication methods.

Bibliography: Prof. Pun received his B.Sc. and M.Sc. degrees in Software Engineering from the University of Macau in 1995 and 1998 respectively, and Ph.D. degree in Computer Science and Engineering from the Chinese University of Hong Kong in 2002. He is currently an Associate Professor at the Department of Computer and Information Science of the University of Macau. He has investigated several funded research projects and published more than 100 refereed scientific papers in international journals, books and conference proceedings. Dr. Pun has served as the General Chair for the 10th International Conference Computer Graphics, Imaging and Visualization (CGIV2013), and program / session chair for several other international conferences. He has also served as the editorial member / referee for many international journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Pattern Recognition, etc. His research interests include Digital Image Processing; Digital Forgery and Watermarking; Pattern Recognition and Computer Vision; Intelligent Systems and Applications. He is also a senior member of the IEEE and a professional member of the ACM.

IIAI AAI / ACIS SERA 2014 Keynote address 3
"Advancement and education in medical ICT"
Hidetsugu Kohzaki

Hidetsugu Kohzaki, Ph.D.
Kyoto University, Japan
email: hkohzaki [AT] gmail.com
Abstract: Due to a lack of physicians and the recent gradual increase in the number of medical services provided in clinical settings, the nurturing of paramedical professionals (the term used to describe healthcare providers other than physicians or dentists, such as nurses, medical technologists, pharmacists, dental hygienists, physical therapists, and occupational therapists) is an urgent issue. In such a situation, paramedical professional training schools are required to provide education in a limited amount of time, help students pass the national exam, and contribute to the stable production of human resources (1).
ICT has been rapidly developing, and applied to medical settings. In this study, I report not only the current status of ICT education in our school (2), but also the development of medical English education (3) and education programs necessary for healthcare providers employing ICT-based self-learning software and Personal Digital Assistant.
References: (1) Kohzaki, H., Fujita, Y. and Ishida, Y. An approach to chemistry education at medical technologist training institutions in Japan. Chemical Education Journal. 14(1). 2011.
(2) Kohzaki, H. A Proposal for Information Science Education for Paramedics/Medical Technologist Training in Japan. Journal of Educational Research and Reviews. 1(3), 34-41, 2013.
(3) Kohzaki, H. A proposal regarding English education at schools to train paramedics/Medical technologists. (2012). Journal of Medical English Education 11(1), 7-14.

Bibliography: Graduated from the Department of Molecular Medicine, Graduate School of Medicine, Kyoto University in 1999. He earned his Ph.D. in Medicine from Kyoto University. He worked as a postdoctoral researcher, and currently teaches at the Institute for Virus Research Kyoto University and the Faculty of Allied Health Sciences, Yamato University. In addition to basic research in medical science, he is involved in ICT education for healthcare providers, such as nurses and medical technologists.
2010: Executive committee member and program's editorial board of the 25th Kyoto Hospital Association
2012: Adviser for the journals of Information Processing and Digital Practices of the Information Processing Society of Japan (1 April, 2012 - 31 March, 2014)
2013: Member of the standardization and accuracy management committee of the Japanese Association for Chromosome and Gene Analysis, Host of a workshop Evening session at the 2013 PC Conference, Steering committee member of the 2013 Annual Conference of the Japan Personal Computer Application Technology Society (JPCATS), Chairman of the 6th International Symposium on Digital Technologies in Foreign Language Learning
2014: Councilor of the JPCATS, Executive board member of the Japan Association of Applied IT Healthcare, Host of a workshop Evening session at the 2014 PC Conference, Host of the workshop Problems of human genetics education and their solutions at the 86th Annual Meeting of Genetics Society of Japan
General Research Award from the Friends of Leukemia Research Fund, AACR-ITO EN, Ltd. Scholar-in-Training Award, Young Scientist Award from the International Union of Biochemistry and Molecular Biology (IUBMB).

IIAI AAI / ACIS SERA 2014 Keynote address 4
"Missing Data Imputation with Rough Set"
Gongzhu Hu

Gongzhu Hu, Ph.D.
Central Michigan University, USA
email: hu1g [AT] cmich.edu
Abstract: In rough set theory, data is usually stored in an information table with attributes divided into condition attributes and decision attribute. Due to the uncertainty in the data, The data set is represented by formal approximations and "condition to decision" rules can be deducted from the approximations. In this talk, a new approach to the missing data imputation problem is presented. In this approach, attributes are rearranged such that the attribute with missing values becomes the decision attribute so that decision rules deducted can be used to determine the missing values. For this purpose, the notion of optimal logic attribute and optimal attribute logical flow are introduced based on the roughness of rearrangements to explore the logical causal relations between attributes.

Bibliography: Dr. Gongzhu Hu received BS in numeric analysis from Tsinghua University, China, MS in computer science from the University of Wisconsin-Madison, and PhD in computer science from Michigan State University. He joined the Computer Science Department at Central Michigan University in 1987 and is currently a professor of the department. He was the department chair from 1994 to 2007. His research interests include data mining, databases, distributed systems, and formal methods for software components. He has published over 100 papers in refereed journals and conference proceedings. Dr. Hu has served as the conference chair or program chair of several international conferences, and a member of the editorial board of the several international journals. He is a member of ACIS, ACM, a senior member of IEEE, and a senior member of ISCA.

IIAI AAI / LTLE 2014 Keynote address 5 (Session LTLE1)
"Affective Learning and Pedagogy using Affective Computing"
Yueh-Min Huang

Yueh-Min Huang, Ph.D.
National Cheng Kung University, Taiwan
email: hu1g [AT] cmich.edu
Abstract: How to motivate students to engage in a class is a critical issue in higher education. The pedagogy to motivating students involves complicated process such as that attracting their attention, arousing the interest, and providing contents of appropriate difficulty. Moreover, the pedagogy design should assist students in developing pleasure and joy to optimizing their emotion experience in learning, such as praising students who get great work and encouraging those who feel frustrated. Otherwise, students experiencing high anxiety may compromise or discontinue learning tasks. In other words, the instructional designers should not merely focus the cognitive domain of learning, but should also consider the affective domain of learning, such as adjusted their instructional strategies according student's positive or negative emotion. Affective computing defined as "computing that relates to, arises from, or deliberately influences emotion or other affective phenomena" (R. W. Picard, 1997) have created the possibility of developing technologies to monitor and appropriately respond to human affective states (e.g., moods and emotions). These innovative technologies have recently captured much attention from instructors and researchers because affective computing offers them opportunities to measure students' affective states instantaneously. Compared to the use of questionnaire that hardly realizing how the continuous change was in the emotional state during the learning tasks, the just-in-time measurement of affective computing can provide continuous observation of the emotional state by which complement the questionnaire. However, the challenge of how to explore the effective pedagogies and practices using affective computing to optimizing learning experience is also posed. For example, although various sensors can capture postural, facial, skin-surface, and gestural changes that carry affective information, which sensors are more suitable and practice for the learning environment? In addition, how to design effective pedagogies that can provide personalized affective feedback according to students’ emotional states? To what extent, some advanced measurement tools, such as Electroencephalography (EEG) and eye-tracking device can reveal those states? Those are all challenging issues. This address aims to respond to these questions and to highlight the opportunities and challenges associated with integrating educational pedagogy using affective computing in learning tasks.

Bibliography: Dr. Yueh-Min Huang received his MS and Ph.D. degrees in Electrical Engineering from the University of Arizona, respectively. He is currently a distinguished professor of the Department of Engineering Science and associate dean of Engineering College at National Cheng-Kung University, Taiwan. His research interests include e-Learning, embedded systems and artificial intelligence. He has co-edited 3 books published by Springer Verlag and has published over 200 refereed journal papers. His works have received over 4500 Google citations in recent 5 years. Dr. Huang has received many research awards, including best paper awards, such as GCCCE2013 and national competition prizes, such as the first prize of ARM Code-O-Rama 2012. He is also a winner of the distinguished research award of the National Science Council, Taiwan in 2010 and 2013, respectively. Dr. Huang is in the editorial board of several SSCI- and SCI-indexed journals such as Interactive Learning Environments and Wireless Communications and Mobile Computing. He was the technical program chair of International Conference on Web-based Learning (2013) and the general chair of AECT International Conference on the Frontier in e-Learning Research 2013 (ICFER) and the e-Learning Forum Asia 2014. Dr. Huang became a Fellow of British Computer Society (FBCS) in 2011.