User-centered Systems Engineering & Knowledge Management Framework for Design & Modeling of Future Smart Cities

Abstract

Employing human factors and user-centered systems engineering methodology and design principles to the development of smart cities has the potential of establishing a novel field of research. This paper introduces a novel human factors knowledge management framework for collaborative education, design and modeling of the next generation of smarter cities. A conceptual framework and practical applications of systems engineering approaches to support smarter cities development is proposed. The human systems component in collaborative systems engineering aims to ensure that human considerations for learners and designers have a prominent place in the integrated design and development of sustainable, smarter cities throughout the total system lifecycle. Future challenges that collaborative human and systems engineering techniques are likely to face in this domain are also discussed.

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References

Ahola

, (2001) Ambient Intelligence. ERICM News, (47).

Ahram

T. Z.

Karwowski

(2009) “Measuring Human Systems Integration Return on Investment” The International Council on Systems Engineering — INCOSE Spring 09 Conference: Virginia Modeling, Analysis and Simulation Center (VMASC), Suffolk, VA. USA.

Ahram

T. Z.

Karwowski

Amaba

Obeid

(2009). “Human Systems Integration: Development Based on SysML and the Rational Systems Platform”, Proceedings of the 2009 Industrial Engineering Research Conference, Miami, FL. USA.

Ahram

T. Z.

Karwowski

Amaba

(2010a). “User-centered Systems Engineering Approach to Design and Modeling of Smarter Systems”. 5th IEEE International Conference on System of Systems Engineering - (SoSE). Loughborough University, UK (June, 2010).

Ahram

T. Z.

McCauley-Bush

Karwowski

(2010b) “Multicriteria Weighted Model to Estimate Document collections Intrinsic Dimensionality and Enhance Information Retrieval Performance”, Journal of Information Sciences. Elsevier.

Allmendinger

Lombreglia

(2005). Four Strategies for the Age of Smart Services. Harvard Business Review, 83(10):131–145.

Arts

De Ruyter

(2009). New research perspectives on ambient intelligence. Journal of Ambient Intelligence and Smart Environments, 1:5–14.

Das

Cook

(2006). Designing Smart Environments: A Paradigm Based on Learning and Prediction. In: Shorey

Ananda

Chan

M.C.

Ooi

W.T.

Ooi, W.T. Mobile, Wireless, and Sensor Networks: Technology, Applications, and Future Directions, pp. 337–358. Wiley, Chichester.

Defense Acquisition University (DAU) Guidebook (2004). Chapter 4: Systems Engineering.

10.

Friedenthal Moore

Steiner

(2008). A Practical Guide to SysML: The Systems Modeling Language, Morgan Kaufmann; Elsevier Science.

11.

Handbook for Assessing Smart Grid Projects, November 2009 Retrieved from: http://www.gridwise.org/.

12.

Hitchins

D. K.

(2007). Systems Engineering: A 21st Century Systems Methodology. Chichester, UK: John Wiley & Sons.

13.

Karwowski

(2006). International Encyclopedia of Ergonomics and Human Factors, Second Edition, CRC Press, Inc., Boca Raton, FL, 2006.

14.

Karwowski

Ahram

T. Z.

(2009). Interactive Management of Human Factors Knowledge For Human Systems Integration Using Systems Modeling Language. Special Issue for Information Systems Management. Journal of Information Systems Management. Taylor and Francis.

15.

Karwowski

Salvendy

Ahram

T. Z.

, (2009). Customer-centered Design of Service Organizations. In: Salvendy

Karwowski

(eds). Introduction to Service Engineering, Chapter 9. John Wiley & Sons, NJ (ISBN-10: 0470382414).

16.

Nokia future smart home program. Retrieved from: http://www.nokia.com/press/events/smart_home.

17.

Maass

Varshney

(2008). Preface to the Focus Theme Section: ‘Smart Systems’. Electronic Markets, 18(3):211–215.

18.

Weiser

(1991). The computer of the 21st century. Scientific American, 265(3):66–75.

19.

Mühlhäuser

(2008). Smart Systems: An Introduction. In Constructing Ambient Intelligence - AmI 2007 Workshop, pages 154–164.

20.

Sabou

Kantorovitch

Nikolov

Tokmakoff

Zhou

Motta

, (2009). Position Paper on Realizing Smart Systems: Challenges for Semantic Web Technologies, Report by Knowledge Media Institute.

21.

Stasser

Stewart

D. D.

(1992). Discovery of hidden profiles by decision- making groups: Solving a problem versus making a judgment. J. Personality Soc. Psych. 63 426–434.

22.

The U.S. Smart Grid Revolution: KEMA's Perspectives for Job Creation — January 13, 2008. Retrieved from: http://www.spiegel.de/media/0,4906,20329,00.pdf.