Number of co-authors:7
Number of publications with 3 favourite co-authors:Lawrence Chung:Yip Wai Tung:Berry Choi:
Keith C. C. Chan's 3 most productive colleagues in number of publications:Lawrence Chung:8Tiffany Ya Tang:4Kim Man Lui:4
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Publications by Keith C. C. Chan (bibliography)
Tung, Yip Wai and Chan, Keith C. C. (2010): A Unified Human-Computer Interaction Requirements Analysis Framework for Complex Socio-technical Systems. In International Journal of Human-Computer Interaction, 26 (1) pp. 1-21. http://www.informaworld.com/10.1080/10447310903025537
Complex socio-technical systems (CSTS) play an important part in the operations of a wide range of large-scale, socially important infrastructure, such as power plants and railways systems. Such systems are highly automated but nonetheless still require substantial human operator involvement and oversight. However, the effectiveness of this operator oversight is often compromised by the fact that such systems are built by combining heterogeneous systems and user interfaces, which can lead to operators being asked to oversee systems that represent vital information using a plethora of incommensurable signals, presenting a very considerable threat not just to the usability of such systems but also to their safety. This article presents a Unified Human-Computer Interaction (HCI) Requirements Analysis Framework (UHRAF) and a Safety and Usability Model (SUM) for analyzing the HCI requirements of a safety-related scenario in a railway system. UHRAF and SUM are used to identify requirement issues in HCI arising from the concurrent development of heterogeneous systems and aim to facilitate the development of relevant HCI design guidelines for CSTS.
© All rights reserved Tung and Chan and/or Lawrence Erlbaum Associates
Lui, Kim Man and Chan, Keith C. C. (2008): Software Process Fusion: Exploring process relationships. In: Wang, Yingxu, Zhang, Du, Latombe, Jean-Claude and Kinsner, Witold (eds.) Proceedings of the Seventh IEEE International Conference on Cognitive Informatics - ICCI 2008 August 14-16, 2008, California, USA. pp. 181-184. http://dx.doi.org/10.1109/COGINF.2008.4639167
Lui, Kim Man and Chan, Keith C. C. (2006): Pair programming productivity: Novice-novice vs. expert-expert. In International Journal of Human-Computer Studies, 64 (9) pp. 915-925. http://dx.doi.org/10.1016/j.ijhcs.2006.04.010
Agile Software Development methodologies have grown in popularity both among academic researchers and industrial practitioners. Among the various methodologies or practices proposed, pair programming, which is concerned with two programmers collaborating on design, coding and testing, has become a controversial focus of interest. Even though some success stories have been reported with the use of pair-programming in real software development environment, many people remain rather skeptical of the claims on pair-programming productivity. Previous studies in pair programming have only addressed the basic understanding of the productivity of pairs and they have not addressed the variation in productivity between pairs of varying skills and experience, such as between novice-novice and expert-expert. Statistical productivity measurements reported by different researchers also seem to lead to contradictory conclusions. Until now, the literature has not addressed how those results and experiments were related to each other. In this paper, we propose a controlled experiment called repeat-programming which can facilitate the understanding of relationships between human experience and programming productivity. Repeat-programming can be performed when controversial issues in non-traditional programming methodologies and development productivity need to be investigated into. To illustrate how the proposed empirical experiment can put arguable, divisive problems into perspective, we have examined the productivity in pair programming as a case study. With repeat-programming, we are able to (i) better understand why results of previous pair programming control experiments reached different conclusions as to the productivity of pair programming and (ii) most importantly, present a case in which novice-novice pairs against novice solos are much more productive than expert-expert pairs against expert solos.
© All rights reserved Lui and Chan and/or Academic Press
Lui, Kim Man and Chan, Keith C. C. (2006): Programming Task Demands. In: Yao, Yiyu, Shi, Zhongzhi, Wang, Yingxu and Kinsner, Witold (eds.) Proceedings of the Firth IEEE International Conference on Cognitive Informatics ICCI 2006 July 17-19, 2006, Beijing, China. pp. 765-770. http://dx.doi.org/10.1109/COGINF.2006.365586
Lui, Kim Man and Chan, Keith C. C. (2004): A Cognitive Model for Solo Programming and Pair Programming. In: Chan, Christine W., Kinsner, Witold, Wang, Yingxu and Miller, D. Michael (eds.) Proceedings of the 3rd IEEE International Conference on Cognitive Informatics ICCI 2004 16-17 August, 2004, Victoria, Canada. pp. 94-102. http://csdl.computer.org/comp/proceedings/icci/2004/2190/00/21900094abs.htm
Tang, Tiffany Ya, Winoto, Pinata and Chan, Keith C. C. (2003): On the Temporal Analysis for Improved Hybrid Recommendations. In: 2003 IEEE / WIC International Conference on Web Intelligence - WI 2003 13-17 October, 2003, Halifax, Canada. pp. 214-220. http://csdl.computer.org/comp/proceedings/wi/2003/1932/00/19320214abs.htm
Chan, Keith C. C., Au, Wai-Ho and Choi, Berry (2002): Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization. In: Proceedings of the 1st IEEE International Conference on Cognitive Informatics ICCI 2002 19-20 August, 2002, Calgary, Canada. pp. 239-246. http://csdl.computer.org/comp/proceedings/icci/2002/1724/00/17240239abs.htm
Chung, Lawrence and Chan, Keith C. C. (1999): An Enterprise-Wide Workflow Management System. In: ICEIS 1999 1999. pp. 396-403.
Chan, Keith C. C. and Au, Wai-Ho (1997): Mining Fuzzy Association Rules. In: Golshani, Forouzan and Makki, Kia (eds.) Proceedings of the Sixth International Conference on Information and Knowledge Management CIKM97 November 10-14, 1997, Las Vegas, Nevada. pp. 209-215. http://doi.acm.org/10.1145/266714.266898
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