Publication statistics

Pub. period:1999-2012
Pub. count:21
Number of co-authors:41



Co-authors

Number of publications with 3 favourite co-authors:

Alex Rogers:4
Nigel Shadbolt:3
Xudong Luo:3

 

 

Productive colleagues

Nicholas R. Jennings's 3 most productive colleagues in number of publications:

Munindar P. Singh:50
Michael N. Huhns:50
Nigel Shadbolt:34
 
 
 
Jul 12

To design an easy-to-use interface, pay attention to what users do, not what they say. Self-reported claims are unreliable, as are user speculations about future behavior.

-- Jakob Nielsen

 
 

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Nicholas R. Jennings

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Publications by Nicholas R. Jennings (bibliography)

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2012
 
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McInerney, James, Rogers, Alex and Jennings, Nicholas R. (2012): Improving location prediction services for new users with probabilistic latent semantic analysis. In: Proceedings of the 2012 International Conference on Uniquitous Computing 2012. pp. 906-910.

Location prediction systems that attempt to determine the mobility patterns of individuals in their daily lives have become increasingly common in recent years. Approaches to this prediction task include eigenvalue decomposition [5], non-linear time series analysis of arrival times [10], and variable order Markov models [1]. However, these approaches all assume sufficient sets of training data. For new users, by definition, this data is typically not available, leading to poor predictive performance. Given that mobility is a highly personal behaviour, this represents a significant barrier to entry. Against this background, we present a novel framework to enhance prediction using information about the mobility habits of existing users. At the core of the framework is a hierarchical Bayesian model, a type of probabilistic semantic analysis [7], representing the intuition that the temporal features of the new user's location habits are likely to be similar to those of an existing user in the system. We evaluate this framework on the real life location habits of 38 users in the Nokia Lausanne dataset, showing that accuracy is improved by

© All rights reserved McInerney et al. and/or ACM Press

 
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Costanza, Enrico, Ramchurn, Sarvapali D. and Jennings, Nicholas R. (2012): Understanding domestic energy consumption through interactive visualisation: a field study. In: Proceedings of the 2012 International Conference on Uniquitous Computing 2012. pp. 216-225.

Motivated by the need to better manage energy demand in the home, in this paper we advocate the integration into Ubicomp systems of interactive energy consumption visualisations, that allow users to engage with and understand their consumption data, relating it to concrete activities in their life. To this end, we present the design, implementation, and evaluation of FigureEnergy, a novel interactive visualisation that allows users to annotate and manipulate a graphical representation of their own electricity consumption data, and therefore make sense of their past energy usage and understand when, how, and to what end, some amount of energy was used. To validate our design, we deployed FigureEnergy "in the wild" -- 12 participants installed meters in their homes and used the system for a period of two weeks. The results suggest that the annotation approach is successful overall: by engaging with the data users started to relate energy consumption to activities rather than just to appliances. Moreover, they were able to discover that some appliances consume more than they expected, despite having had prior experience of using other electricity displays.

© All rights reserved Costanza et al. and/or ACM Press

2009
 
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Stein, Sebastian, Payne, Terry R. and Jennings, Nicholas R. (2009): Flexible provisioning of web service workflows. In ACM Trans. Internet Techn., 9 (1) .

2008
 
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Rogers, Alex, Osborne, Mike, Ramchurn, Sarvapali D., Roberts, Stephen and Jennings, Nicholas R. (2008): Information Agents for Pervasive Sensor Networks. In: PerCom 2008 - Sixth Annual IEEE International Conference on Pervasive Computing and Communications 17-21 March, 2008, Hong Kong. pp. 294-299.

2007
 
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David, Esther, Rogers, Alex, Jennings, Nicholas R., Schiff, Jeremy, Kraus, Sarit and Rothkopf, Michael H. (2007): Optimal design of english auctions with discrete bid levels. In ACM Trans. Internet Techn., 7 (2) .

 
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Rogers, Alex, David, Esther, Jennings, Nicholas R. and Schiff, Jeremy (2007): The effects of proxy bidding and minimum bid increments within eBay auctions. In ACM Transactions on the Web, 1 (2) p. 9.

We present a mathematical model of the eBay auction protocol and perform a detailed analysis of the effects that the eBay proxy bidding system and the minimum bid increment have on the auction properties. We first consider the revenue of the auction, and we show analytically that when two bidders with independent private valuations use the eBay proxy bidding system there exists an optimal value for the minimum bid increment at which the auctioneer's revenue is maximized. We then consider the sequential way in which bids are placed within the auction, and we show analytically that independent of assumptions regarding the bidders' valuation distribution or bidding strategy the number of visible bids placed is related to the logarithm of the number of potential bidders. Thus, in many cases, it is only a minority of the potential bidders that are able to submit bids and are visible in the auction bid history (despite the fact that the other hidden bidders are still effectively competing for the item). Furthermore, we show through simulation that the minimum bid increment also introduces an inefficiency to the auction, whereby a bidder who enters the auction late may find that its valuation is insufficient to allow them to advance the current bid by the minimum bid increment despite them actually having the highest valuation for the item. Finally, we use these results to consider appropriate strategies for bidders within real world eBay auctions. We show that while last-minute bidding (sniping) is an effective strategy against bidders engaging in incremental bidding (and against those with common values), in general, delaying bidding is disadvantageous even if delayed bids are sure to be received before the auction closes. Thus, when several bidders submit last-minute bids, we show that rather than seeking to bid as late as possible, a bidder should try to be the first sniper to bid (i.e., it should "snipe before the snipers").

© All rights reserved Rogers et al. and/or ACM

2006
 
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Luo, Xudong, Jennings, Nicholas R. and Shadbolt, Nigel (2006): Acquiring user tradeoff strategies and preferences for negotiating agents: A default-then-adjust method. In International Journal of Human-Computer Studies, 64 (4) pp. 304-321.

A wide range of algorithms have been developed for various types of negotiating agents. In developing such algorithms the main focus has been on their efficiency and their effectiveness. However, this is only a part of the picture. Typically, agents negotiate on behalf of their owners and for this to be effective the agents must be able to adequately represent their owners' strategies and preferences for negotiation. However, the process by which such knowledge is acquired is typically left unspecified. To address this problem, we undertook a study of how user information about negotiation tradeoff strategies and preferences can be captured. Specifically, we devised a novel default-then-adjust acquisition technique. In this, the system firstly does a structured interview with the user to suggest the attributes that the tradeoff could be made between, then it asks the user to adjust the suggested default tradeoff strategy by improving some attribute to see how much worse the attribute being traded off can be made while still being acceptable, and, finally, it asks the user to adjust the default preference on the tradeoff alternatives. This method is consistent with the principles of standard negotiation theory and to demonstrate its effectiveness we implemented a prototype system and performed an empirical evaluation in an accommodation renting scenario. The result of this evaluation indicates the proposed technique is helpful and efficient in accurately acquiring the users' tradeoff strategies and preferences.

© All rights reserved Luo et al. and/or Academic Press

 
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He, Minghua, Jennings, Nicholas R. and Prügel-Bennett, Adam (2006): A heuristic bidding strategy for buying multiple goods in multiple english auctions. In ACM Trans. Internet Techn., 6 (4) pp. 465-496.

2005
 
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Wei, Yan Zheng, Moreau, Luc and Jennings, Nicholas R. (2005): A market-based approach to recommender systems. In ACM Transactions on Information Systems, 23 (3) pp. 227-266.

Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have been developed. However, it has been shown that no one technique is best for all users in all situations. Thus we believe that effective recommender systems should incorporate a wide variety of such techniques and that some form of overarching framework should be put in place to coordinate the various recommendations so that only the best of them (from whatever source) are presented to the user. To this end, we show that a marketplace, in which the various recommendation methods compete to offer their recommendations to the user, can be used in this role. Specifically, this article presents the principled design of such a marketplace (including the auction protocol, the reward mechanism, and the bidding strategies of the individual recommendation agents) and evaluates the market's capability to effectively coordinate multiple methods. Through analysis and simulation, we show that our market is capable of shortlisting recommendations in decreasing order of user perceived quality and of correlating the individual agent's internal quality rating to the user's perceived quality.

© All rights reserved Wei et al. and/or ACM Press

 
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Paurobally, Shamimabi and Jennings, Nicholas R. (2005): Developing Agent Web Service Agreements. In: Skowron, Andrzej, Agrawal, Rakesh, Luck, Michael, Yamaguchi, Takahira, Morizet-Mahoudeaux, Pierre, Liu, Jiming and Zhong, Ning (eds.) 2005 IEEE / WIC / ACM International Conference on Web Intelligence WI 2005 19-22 September, 2005, Compiegne, France. pp. 464-470.

 
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Huhns, Michael N., Singh, Munindar P., Burstein, Mark H., Decker, Keith S., Durfee, Edmund H., Finin, Timothy W., Gasser, Les, Goradia, Hrishikesh J., Jennings, Nicholas R., Lakkaraju, Kiran, Nakashima, Hideyuki, Parunak, H. Van Dyke, Rosenschein, Jeffrey S., Ruvinsky, Alicia, Sukthankar, Gita, Swarup, Samarth and Sycara, Katia P. (2005): Research Directions for Service-Oriented Multiagent Systems. In IEEE Internet Computing, 9 (6) pp. 65-70.

2004
 
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Castro-Schez, Jose J., Jennings, Nicholas R., Luo, Xudong and Shadbolt, Nigel (2004): Acquiring domain knowledge for negotiating agents: a case of study. In International Journal of Human-Computer Studies, 61 (1) pp. 3-31.

In this paper, we employ the fuzzy repertory table technique to acquire the necessary domain knowledge for software agents to act as sellers and buyers using a bilateral, multi-issue negotiation model that can achieve optimal results in semi-competitive environments. In this context, the seller's domain knowledge that needs to be acquired is the rewards associated with the products and restrictions attached to their purchase. The buyer's domain knowledge that is acquired is their requirements and preferences on the desired products. The knowledge acquisition methods we develop involve constructing three fuzzy repertory tables and their associated distinctions matrixes. The first two are employed to acquire the seller agent's domain knowledge; and the third one is used, together with an inductive machine learning algorithm, to acquire the domain knowledge for the buyer agent.

© All rights reserved Castro-Schez et al. and/or Academic Press

 
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Coehoorn, Robert M. and Jennings, Nicholas R. (2004): Learning on opponent's preferences to make effective multi-issue negotiation trade-offs. In: Janssen, Marijn, Sol, Henk G. and Wagenaar, René W. (eds.) Proceedings of the 6th International Conference on Electronic Commerce - ICEC 2004 October 25-27, 2004, Delft, The Netherlands. pp. 59-68.

 
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Nguyen, Thuc Duong and Jennings, Nicholas R. (2004): Reasoning about commitments in multiple concurrent negotiations. In: Janssen, Marijn, Sol, Henk G. and Wagenaar, René W. (eds.) Proceedings of the 6th International Conference on Electronic Commerce - ICEC 2004 October 25-27, 2004, Delft, The Netherlands. pp. 77-84.

2003
 
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Anthony, Patricia and Jennings, Nicholas R. (2003): A heuristic bidding strategy for multiple heterogeneous auctions. In: Sadeh, Norman M., Dively, Mary Jo, Kauffman, Robert J., Labrou, Yannis, Shehory, Onn, Telang, Rahul and Cranor, Lorrie Faith (eds.) Proceedings of the 5th International Conference on Electronic Commerce - ICEC 2003 September 30 - October 03, 2003, Pittsburgh, Pennsylvania, USA. pp. 9-16.

 
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Dang, Viet Dung and Jennings, Nicholas R. (2003): Optimal clearing algorithms for multi-unit single-item and multi-unit combinatorial auctions with demand/supply function bidding. In: Sadeh, Norman M., Dively, Mary Jo, Kauffman, Robert J., Labrou, Yannis, Shehory, Onn, Telang, Rahul and Cranor, Lorrie Faith (eds.) Proceedings of the 5th International Conference on Electronic Commerce - ICEC 2003 September 30 - October 03, 2003, Pittsburgh, Pennsylvania, USA. pp. 25-30.

 
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Luo, Xudong, Jennings, Nicholas R. and Shadbolt, Nigel (2003): Knowledge-based acquisition of tradeoff preferences for negotiating agents. In: Sadeh, Norman M., Dively, Mary Jo, Kauffman, Robert J., Labrou, Yannis, Shehory, Onn, Telang, Rahul and Cranor, Lorrie Faith (eds.) Proceedings of the 5th International Conference on Electronic Commerce - ICEC 2003 September 30 - October 03, 2003, Pittsburgh, Pennsylvania, USA. pp. 138-149.

 
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Anthony, Patricia and Jennings, Nicholas R. (2003): Developing a bidding agent for multiple heterogeneous auctions. In ACM Trans. Internet Techn., 3 (3) pp. 185-217.

 
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He, Minghua and Jennings, Nicholas R. (2003): Southampton TAC: An adaptive autonomous trading agent. In ACM Trans. Internet Techn., 3 (3) pp. 218-235.

2001
 
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Jennings, Nicholas R. (2001): An agent-based approach for building complex software systems. In Communications of the ACM, 44 (4) pp. 35-41.

1999
 
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Wooldridge, Michael and Jennings, Nicholas R. (1999): Software Engineering with Agents: Pitfalls and Pratfalls. In IEEE Internet Computing, 3 (3) pp. 20-27.

 
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Changes to this page (author)

23 Nov 2012: Modified
23 Nov 2012: Modified
23 Nov 2012: Modified
24 Aug 2009: Modified
18 Aug 2009: Modified
18 Aug 2009: Modified
18 Aug 2009: Modified
18 Aug 2009: Modified
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17 Aug 2009: Modified
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23 Jun 2007: Added

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Page maintainer: The Editorial Team
URL: http://www.interaction-design.org/references/authors/nicholas_r__jennings.html

Publication statistics

Pub. period:1999-2012
Pub. count:21
Number of co-authors:41



Co-authors

Number of publications with 3 favourite co-authors:

Alex Rogers:4
Nigel Shadbolt:3
Xudong Luo:3

 

 

Productive colleagues

Nicholas R. Jennings's 3 most productive colleagues in number of publications:

Munindar P. Singh:50
Michael N. Huhns:50
Nigel Shadbolt:34
 
 
 
Jul 12

To design an easy-to-use interface, pay attention to what users do, not what they say. Self-reported claims are unreliable, as are user speculations about future behavior.

-- Jakob Nielsen

 
 

Featured chapter

Marc Hassenzahl explains the fascinating concept of User Experience and Experience Design. Commentaries by Don Norman, Eric Reiss, Mark Blythe, and Whitney Hess

User Experience and Experience Design !

 
 

Our Latest Books

Kumar and Herger 2013: Gamification at Work: Designing Engaging Business Software...
by Janaki Mythily Kumar and Mario Herger

 
Start reading

Whitworth and Ahmad 2013: The Social Design of Technical Systems: Building technologies for communities...
by Brian Whitworth and Adnan Ahmad

 
Start reading

Soegaard and Dam 2013: The Encyclopedia of Human-Computer Interaction, 2nd Ed....
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

Help us help you!