A perspective on the design of human-centered collaboration systems

The combination of computer and communications technologies has opened up many new opportunities for getting commercial and social benefits for organizations and communities in general. Applications of computer science and computing systems today are not limited to businesses and office environments, but have spread into the military, healthcare and even entertainment domain. In this context, user-friendliness and human centeredness are two key terms fast gaining popularity and importance. In this paper, we attempt to provide a universal definition for human centeredness and a human-centric system. In doing so, we focus on five areas which we consider the most important while designing systems that are human-centric in nature. We discuss the need for human-centric system design, and in doing so analyze important issues and challenges in past and current human-centric design approaches. We also present a framework for human-centric system design, and discuss how this framework can be helpful to designers and researchers alike. We conclude the paper by presenting an architecture that incorporates human centeredness and collaboration.

[1]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[2]  Waleed W. Smari,et al.  A Petri Net-based Workflow Modeling for a Human-centric Collaborative Commerce System , 2006 .

[3]  William K. McQuay,et al.  Multi-Disciplinary Integrated Framework and Architecture for a Human Centered Collaborative Commerce System , 2006, 2006 IEEE International Conference on Information Reuse & Integration.

[4]  John C. Haugland.  Mind Design: Philosophy, Psychology, and Artificial Intelligence , 1981 .

[5]  Ashish Godbole,et al.  A Framework and a Methodology for the Design and Development of Collaborative Systems and Platforms , 2005, CAINE.

[6]  Rosalind W. Picard.  Toward computers that recognize and respond to user emotion , 2000, IBM Syst. J..

[7]  A. Isen,et al.  Positive affect and decision making. , 1993 .

[8]  Thomas Erickson,et al.  Some problems with the notion of context-aware computing , 2002, CACM.

[9]  Rosalind W. Picard.  Building HAL: computers that sense, recognize, and respond to human emotion , 2001, IS&T/SPIE Electronic Imaging.

[10]  Robert Grimm,et al.  Systems directions for pervasive computing , 2001, Proceedings Eighth Workshop on Hot Topics in Operating Systems.

[11]  Ashish Godbole,et al.  Toward an integrated human-centered knowledge-based collaborative decision making system , 2004, Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004..

[12]  Richard Murch,et al.  Autonomic Computing , 2004 .

[13]  Philip R. Cohen,et al.  MULTIMODAL INTERFACES THAT PROCESS WHAT COMES NATURALLY , 2000 .

[14]  Sharon L. Oviatt,et al.  Perceptual user interfaces: multimodal interfaces that process what comes naturally , 2000, CACM.

[15]  Anne R. Haake,et al.  The many facets of HCI , 2003, CITC4 '03.

[16]  Waleed W. Smari,et al.  On a collaborative commerce framework and architecture for next generation commerce , 2005, Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems, 2005..

[17]  Helene Gelderblom,et al.  The effects of culture on performance achieved through the use of human computer interaction , 2003 .

[18]  Ashish Godbole,et al.  Toward a distributed collaborative human-centric decision-making system: An information grid approach , 2005, 2005 1st International Conference on Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering.

[19]  Rui J. P. de Figueiredo,et al.  A A Perspective of Human-Centered Systems , 2000 .

[20]  Drew McDermott,et al.  Artificial intelligence meets natural stupidity , 1976, SGAR.