The SoCoRI Society is proud to dedicate this conference for gathering research on Human Centric Design which is an essential process in the development of computer applications and technology services. Computer based technology and application development (CTD) is a creative process, you start with an idea. You explore aspects of that idea – go wide – and diverge into many directions to better understand and define your problem. You follow many paths – some lead to dead-ends, some stray too far off from your vision and some lead to the same place. Then you converge. Having explored a number of possibilities, you dismiss the paths that are dead-ends or stray too far and focus on the paths that converge around your vision. Now you have clarity of what “it” is and you may diverge again. This process is the same as making a piece of art, innovating a new product or service or finding a cure for a disease. This process is generally tagged as "Human-cantered design" (HCD) which is an emerging approach to creating solutions for problems and opportunities through a focus on the needs, contexts, behaviors, and emotions of the people that the solutions will serve. Recently some researchers call HCD as the Thick Data approach: To provide qualitative information that provides insights into the everyday emotional lives of consumers. It goes beyond big data to explain why consumers have certain preferences, the reasons they behave the way they do, why certain trends stick and so on. CTD Companies gather this data by conducting primary and secondary research in the form of surveys, focus groups, interviews, questionnaires, videos and other various methods. Ultimately, to understand people’s actions and what drives them to your business (or not), you need to understand the humanistic context in which they pursue these actions. Actually HCD is an approach to decision making that integrates three types of thinking, divergent, emergent and convergent thinking, in order to allow individuals and teams to make effective choices from an expanded understanding of the challenge and possible solutions. Principles are beliefs that are used to form rules that guide how behave and decide what to do
in given situations. The “design principles” that guide HCD can be summarized as follows:

    1. Every good CTD design should be based on observed, human need (human centricity).
    2. Great CTD design comes from understanding people’s behaviors, thoughts (cognitive empathy) and emotions (emotional empathy).
    3. Design decisions starts by creating possibilities to choose from.
    4. Great CTD design comes from a desire to create real outcomes.
    5. Great CTD design is iterative. It leverages continuous learning and never truly ends.

HCD is crucial for successful CTD companies as it enable them to analyse the emotional way in which people use their products or services to develop a better understanding of their customers. By using HCD, companies can develop a positive relationship with their customers and it becomes easier for those companies to maintain happy customers and attract new ones. The SoCoRI Society, together with researchers from Asia-Pacific countries, dedicated this conference to explore the new ways research can design successful human centric solutions. SoCoRI Society allow scholars to think about future developments together. Please join to our conference to meet and talk foreign researchers.


We welcome papers from all fields (Art, Humanities, Sociology, Engineering, Science, Convergence, etc.) that can develop or enrich human life. All works should have relationship with Computer Technology below:

- Communications and Networks,
- Internet of Thing/Everything,
- Artificial Intelligence,
- Smart City/Factory/Home,
- BigData Analysis and Application,
- etc.

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Dates and Deadlines

Submission Due: May 10, 2019 (Extended)
Acceptance Notification: May 25, 2019
Camera Ready Due: June 5, 2019
Registration Due: June 5, 2019

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Paper Submission

Please use MS-word tool, A4 size, and free format to prepare your paper and submit it by e-mail:

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Accepted papers will be included in Conference Proceedings with ISBN. And selected good papers will be recommended to be published by SCI(E) or SCOPUS indexed journals after revision and modification.

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Chairs and Committees

General Co-chairs:

Luiz Moutinho, University of Suffolk, United Kingdom
Naseer AlJawad, Buckingham University, United Kingdom
Sabah Mohammed, Lakehead University, Canada
Sang-hun Nam, SMIT, South Korea

Program Co-chairs:

Jinan Fiaidhi, Lakehead University, Canada
Jung-yoon Kim, Gachon University, South Korea
Kokula Krishna Hari Kunasekaran, Association of Scientists, Developers and Faculties International, United Kingdom
Simon Fong, University of Macau, Macao
Subramaniam Ganesan, Oakland University, United States

Management Chair:
Amiya Bhaumik, Lincoln University College (Vice Chancellor), Malaysia
Aboul Ella Hassanien, Cairo University, Egypt
Carlos Ramos (Vice Chancellor), ISEP, Portugal
Jong-sin Lee, Chungnam National University, South Korea
Mincong Tang, Beijing Jiaotong University, China
Osvaldo Gervasi, Perusia University, Italy
Luis Javier Garcia Villalba, Universidad Complutense Madrid, Spain
Debnath Bhattacharyya, Vignan's Institute of Information Technology, India

Abraham Rudnick, Lakehead University, Canada
Byeong-Hyun Min, Chungwoon University, South Korea
Carlos Zerpa, Lakehead University, Canada
Carolyn McGregor, University of Ontario Institute of Technology, Canada
Chan Ho Jin, Hanseo University, South Korea
Choon-Won Lee, Kwangwoon University, South Korea
Christo El Morr, York University, Canada
Dae Sung Hwang, Coolman Clinic, South Korea
Daniel Amyot, University of Ottawa, Canada
Divya Midhunchakkaravarthy, Lincoln University College, Malaysia
Daniel Ruiz Fernandez, University of Alicante, Spain
Dong Kwang Ra, Kyungsung University, South Korea
Dongwon Kim, Gwangju University, South Korea
Elizabeth Borycki, University of Victoria, Canada
Eun-Sil Kim, Gwangju University, South Korea
Eunsil Kim, Namseoul University, South Korea
F.C. Morabito, Mediterranea University of Reggio Calabria, Italy
Geun-Hyung Kim, Dong-Eui University, South Korea
Hakyun Kim, Pukyong National University, South Korea
Hamada Ghenniwa, University of Western Ontario, Canada
Hamid Arabnia, University of Georgia, United States
Hee Eun Nam, Kosin University, South Korea
Hee-Dong Park, Joongbu University, South Korea
Hoe-Kyung Jung, Seoul Media Institute of Technology, South Korea
Hua Min, George Mason University, United States
Hussein Fakhry, Zayed University, United Arab Emirates
Hyoun Yong Kwon, Hyupsung University, South Korea
Hyun Mi Kim, Gukje Cyber University, South Korea
HyungJun Kim, Hansei University, South Korea
Jason Levy, University of Hawaii, USA
Jeang Nam Kim, Tongmyong University, South Korea
Jeong Il Kim, Chungnam National University, South Korea
Jeonghwan Lee, Myongji University, South Korea
Ji Won Oak, Tongmyong University, South Korea
Ji Yeon Choi, Gimcheon University, South Korea
Jon Mo Yoon, Dankook University, South Korea
Joonbin Im, Daegu Catholic University, South Korea
Joon-Ho Lee, Dong-Eui University, South Korea
Jung-Ha Park, Dongseo University, South Korea
Jungsoon Cho, Silla University, South Korea
Jun-Ho Huh, Catholic University of Pusan, South Korea
Kalpdrum Passi, Laurentian University, Canada
Keum Joo Kim, Baekseok University, South Korea
Kibum Nam, Sungkyul University, South Korea
Kyeongmin Lee, Dong-Eui University, South Korea
Kyoung-Hee Park, Inha University, South Korea
Kyung Mi Bae, Inha University, South Korea
Larbi Esmahi, Athabasca University, Canada
Linqiang Pan, Huazhong University of Science and Technology, China
M. Samir Abou El-Seoud, The British University in Egypt, Egypt
Man Soo Han, Mokpo National University, South Korea
Mi Ran Lee, Kosin University, South Korea
Mohammad AL-Rousan, Jordan University of Science and Technology, Jordan
Muhammad Imran, University of Glasgow, United Kingdom
Muhammad Sarfraz, Kuwait University, Kuwait
Paul S Pang, Unitec Institute of Technology, New Zealand
Prabhat Mahanti, University of New Brunswick, Canada
Qiang (Shawn) Cheng, University of Kentucky, United States
Richard G. Bush, Baker College, Michigan, USA
Rinkle Rani, Thapar University, India
Sanjoy Kumar Saha, Jadavpur University, Kolkata, India
Sayan K. Ray, Manukau Institute of Technology, Manukau, New Zealand
Se-Hoon Jeong, Korea University, South Korea
Soocheol Kim, Daegu Catholic University, South Korea
Soon-Gil Park, Nambu University, South Korea
So-Yun Choi, Namseoul University, South Korea
Sun Yeun Hong, Kyungwoon University, South Korea
Sun-Ju Kim, Cheongju University, South Korea
Sunyoung Jang, Hanseo University, South Korea
Tae Gyu Yu, Namseoul University, South Korea
Tae-Kyoung Kim, Mokpo National University, South Korea
Thirupathi Rao Nakka, Vignan's Institute of Information Technology, India
Weizhe Zhang, Harbin Institute of Technology, China
Xiao-Zhi Gao, University of Eastern Finland, Finland
Yongseong Kim, Kookmin University, South Korea
Yoon Jung Koo, Kyungwoon University, South Korea
You-Jin Song, Dongguk University, South Korea
Youn Sung Kim, Inha University, South Korea
YunBok Lee, Dongseo University, South Korea
Daqing Gong, Tsinghua University, China
Dalin Zhang, Beijing Jiaotong University, China
Hailong Zhang, Ohio State University, China
Jianbang Du from Texas Southern University, USA

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Invited Talk

Professor Dr. Jinan Fiaidhi
Department of Computer Science, Lakehead University, Canada

Assisting Learning in the Era of Learning Analytics: Research Directions and Technologies


In recent years, driven by rapid, phenomenal advances in computing, storage, and communication, practitioners, academic institutions, and researchers are increasingly seeing the need for new student-centered approaches to education. While several approaches for this type of learning exist, Constructionism through learning analytics is one of the most popular and well-developed ones. Generally, learning analytics deals with the development of methods that harness educational data sets to support the learning process. This keynote talk highlights the importance of this new paradigm in developing the next generation of information technology systems.

About Prof. Fiaidhi

Dr. Jinan Fiaidhi is a full Professor of Computer Science and the Graduate Coordinator of the PhD program in Biotechnology at Lakehead University, Ontario, Canada since late 2001. She was the grad coordinator for the Lakehead University Computer Science MSc program for the period (2009-2018). She is also an Adjunct Research Professor with the University of Western Ontario. She received her graduate degrees in Computer Science from Essex University (PgD 1983) and Brunel University (PhD, 1986). During the period (1986-2001), Dr. Fiaidhi served at many academic positions (e.g. University of Technology (Asso. Prof and Chairperson), Philadelphia University (Asso. Prof), Applied Science University (Professor), Sultan Qaboos University (Asso. Prof.). Dr. Fiaidhi research is focused on mobile and collaborative learning utilizing the emerging technologies (e.g. Deep Learning, Cloud Computing, Calm Computing, Mobile Learning, Learning Analytics, Social Networking, Croudsourcing, Enterprise Mashups, OpenData, Extreme Automation and Semantic Web). Dr. Fiaidhi research is supported by the major research granting associations in Canada (e.g. NSERC, CFI). Dr. Fiaidhi is a Professional Software Engineer of Ontario (PEng), Senior Member of IEEE, member of the British Computer Society (MBCS) and member of the Canadian Information Society (CIPS) holding the designate of ISP. Dr.Fiaidhi is the chair of Big Data for eHealth special interest research group withe IEEE ComSoc eHealth TC. Moreover Dr. Fiaidhi is the Editor of Extreme Automation Department with and IEEE IT-Professional. More information on her publications and news can be found at her institution web page:

Professor Dr. Sabah Mohammed
Department of Computer Science, Lakehead University, Canada

Thick Data approach for Healthcare Design: New Patient Centered Healthcare Design Initiative


Majority of patients are now online and they leave a trail of data on social media sites, blogs and portals, messages of all types and lots of traces on search engines. This data provides valuable patient insights that healthcare should be analyzing in order to “know their patients, their feedback and evaluations”. A healthcare giver who know their patients can make smarter decisions that maximize patients loyalty without spending money on unnecessary exercises (e.g. general advertising). The general believe has been always to rely on Big Data and predictive analytics to make relevant, personalized, and precisely timed replies and interventions to patients. However, using such approach proves to be daunting if it is built on prediction models that are based on quantitative datasets and do not incorporate important patients values, feedback and insights. "What is measurable isn’t the same as what is valuable". This invited talk will shed light on the new initiative of using Thick Data to enhance healthcare design and evaluation.

About Prof. Mohammed

Dr. Sabah Mohammed research interest is in intelligent systems that have to operate in large, nondeterministic, cooperative, highly connected, survivable, adaptive or partially known domains. His continuous research is inspired by his PhD work back in 1981 from Brunel University (UK) on the employment of the Brain Activity Structures for decision making (planning and learning) that enable processes (e.g. agents, mobile objects) and collaborative processes to act intelligently in their environments to timely achieve the required goals. Having trained in medicine with a computer science PhD in Artificial Intelligence (AI), Dr. Mohammed is full Professor at the department of Computer Science at Lakehead University (Ontario Canada) since 2002 and core professor at the BioTechnology program at Lakehead. Dr. Mohammed efforts in establishing healthcare related programs at Lakehead are notable like the specialization Health informatics, BioTechnology and the Bioinformatics programs at Lakehead. With a research background in industry and academia, he has a strong international research reputation for his work on clinical decision support systems supporting remote areas, ubiquitous and extreme environments. Prior to his work at Lakehead University, Dr. Mohammed was the chair of three computer science departments at HCT, Philadelphia and Applied Science Universities. He is the founder and Editor-In-Chief of the Emerging Technology of Web Intelligence (JETWI) as well as the supervisor of the Smart Health FabLab at Lakehead University. Dr. Mohammed is currently the chair of the special interest group on Smart and Connected Health with the IEEE ComSoc eHealth TC. Dr. Mohammed is currently working on the development of IoT and mobility technologies that have impact on improving healthcare services at remote areas like Northwestern Ontario region. Dr. Mohammed is also a Professional Engineer of Ontario, Information Processing Professional with CIPS and Senior Member of IEEE with research supported by major granting organizations like NSERC and CFI. More information on Dr. Mohammed can be found on his institution website


Please contact any time.

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