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Issue No.01 - Jan.-Feb. (2013 vol.28)
pp: 78-82
Amit Sheth , Kno.e.sis Center, Wright State University
Pramod Anantharam , Kno.e.sis Center, Wright State University
Cory Henson , Kno.e.sis Center, Wright State University
ABSTRACT
Technology plays an increasingly important role in facilitating and improving personal and social activities, engagements, decision making, interaction with physical and social worlds, insight generation, and just about anything that humans, as intelligent beings, seek to do. The term computing for human experience (CHE) captures technology's human-centric role, emphasizing the unobtrusive, supportive, and assistive part technology plays in improving human experience. Here, the authors present an emerging paradigm called physical-cyber-social (PCS) computing, supporting the CHE vision, which encompasses a holistic treatment of data, information, and knowledge from the PCS worlds to integrate, correlate, interpret, and provide contextually relevant abstractions to humans. They also outline the types of computational operators that make up PCS computing.
INDEX TERMS
Human computer interaction, Social factors, Social implications of technology, Information management, Knowledge management, Social network services, Human factors, data-information-knowledge-wisdom; search to solution, computing for human experience, physical-cyber-social computing, semantic perception
CITATION
Amit Sheth, Pramod Anantharam, Cory Henson, "Physical-Cyber-Social Computing: An Early 21st Century Approach", IEEE Intelligent Systems, vol.28, no. 1, pp. 78-82, Jan.-Feb. 2013, doi:10.1109/MIS.2013.20
REFERENCES
1. A. Sheth, “Computing for Human Experience: Semantics-Empowered Sensors, Services, and Social Computing on the Ubiquitous Web,” IEEE Internet Computing, vol. 14, no. 1, 2010, pp. 88–91.
2. M. Weiser, “The Computer for the 21st Century,” Scientific Am., vol. 265, no. 3, 1991, pp. 94–104.
3. C. Henson, A. Sheth, and K. Thiru-narayan,“Semantic Perception: Converting Sensory Observations to Abstractions,” IEEE Internet Computing, vol. 16, no. 2, 2012, pp. 26–34.
4. R.L. Ackoff, “From Data to Wisdom,” J. Applied Systems Analysis, vol. 16, 1989, pp. 3–9.
5. C. Henson, K. Thirunarayan, and A. Sheth, “An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web,” Applied Ontology, vol. 6, no. 4, 2011, pp. 345–376.
6. C. Henson, K. Thirunarayan, and A. Sheth, “An Efficient Bit Vector Approach to Semantics-Based Machine Perception in Resource-Constrained Devices,” Proc. 11th Int'l Semantic Web Conf. (ISWC 12), Springer, 2012, pp. 149–164.
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