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Big Data, Integrating Physical and Social Sensing to Enable Smart Services
Part I: The Internet of Things (IoT) allows objects to be sensed and managed over the networks, which creates opportunities for more direct integration between the physical world and computer-based systems. People-centric sensing or social sensing transforms how we sense the world. Today, social sensing (e.g., mobile apps) complements physical sensing (e.g., IoT) by substantially extending the horizon we know about the world in real time. We discuss how we can integrate physical and social sensing to enable better and smarter services. We use city mobility services to demonstrate the potential of the proposed integration.
Part II: Assessing service quality proves very subjective, varying with objectives, methods, tools, and areas of assessment in the service sector. Customers’ perception of services usually plays an essential role in assessing the quality of services. Mining customers’ opinions in real time becomes a promising approach to the process of capturing and deciphering customers’ perception of their service experiences. We first discuss a big data-mediated approach and system that facilitates capturing, understanding, and evaluation of customers’ perception of provided services in real time. We will explain a big data based framework in support of data retrieving, aggregations, transformations, and visualizations by focusing on public ratings and comments from different data sources. An implementation with smart evaluation services using the US higher education services as an example will be mainly presented. We will also discuss how the proposed approach can be adopted in enhancing applications used in the patient-centric healthcare service community.
主講人介紹：
Robin Qiu holds a Ph.D. in Industrial Engineering and a Ph.D. (minor) in Computer Science both from The Pennsylvania State University (graduated in 1996), where he is currently Professor of Information Science. He is the Chair-elect for the Service Science Section of INFORMS. Qiu has had over 100 peer-reviewed publications, including 3 books. He is on the advisory board of Service Science and serves as an associate editor of IEEE Transactions on Systems, Man and Cybernetics and IEEE Transactions on Industrial Informatics, and is on the editorial boards of several other international journals. He was the Editor-in-Chief of Service Science and the Editor-in-Chief of International Journal of Services Operations and Informatics. Qiu was the General Chair of 2010 WASE International Conference on Information Engineering. He founded and served as General co-Chair of the 2009 INFORMS International Conference on Service Science. He founded the annual IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) and served as its General co-Chair from 2005 to 2008. He also co-founded the bi-annual IEEE International Conference on Grey Systems and Intelligent Service in 2007. He was the chairperson of the 2007 International Conference on Flexible Automation & Intelligent Manufacturing. He was also the founding chair of the Logistics and Services Technical Committee, IEEE Intelligent Transportation Systems Society and the founding chair of Service Science Section of the INFORMS. Dr. Qiu’s research interests include Big Data, Data Analytics, Smart Service Systems, Service Science, Service Operations and Management, Information Systems, and Manufacturing and Supply Chain Management.
