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Preference elicitation for interface optimization

Krzysztof Gajos, Daniel S. Weld
2005 Proceedings of the 18th annual ACM symposium on User interface software and technology - UIST '05  
This paper describes ARNAULD, a general interactive tool for eliciting user preferences concerning concrete outcomes and using this feedback to automatically learn a factored cost function.  ...  Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck -in most cases the numerous parameters  ...  Acknowledgments We thank Pedro Domingos for suggesting that we look for a discriminative approach and Deepak Verma for help in formulating the optimization problem.  ... 
doi:10.1145/1095034.1095063 dblp:conf/uist/GajosW05 fatcat:z5xfqeivzzbt5kcpz7f4ifm7ta

Towards Compositional Design and Evaluation of Preference Elicitation Interfaces [chapter]

Alina Pommeranz, Pascal Wiggers, Catholijn M. Jonker
2011 Lecture Notes in Computer Science  
Creating user preference models has become an important endeavor for HCI.  ...  Given the use context of the preference elicitation suitable elements can be identified and strategically combined into interfaces.  ...  Design Principles for Preference Elicitation Interfaces The following design principles are derived from the diverse literature influential to the success of a preference elicitation interface. (1) Support  ... 
doi:10.1007/978-3-642-21753-1_65 fatcat:lsvbruopw5av7hri4y3lkd55hi

Preferences in Interactive Systems: Technical Challenges and Case Studies

Bart Peintner, Paolo Viappiani, Neil Yorke-Smith
2008 The AI Magazine  
This survey considers preference handling in applications such as recommender systems, personal assistant agents, and personalized user interfaces.  ...  Interactive artificial intelligence systems employ preferences in both their reasoning and their interaction with the user.  ...  Although the initially tested system did not feature an explicit user preference model, subsequent work underscored the importance of adapting the guidance strategies and interface modalities of such devices  ... 
doi:10.1609/aimag.v29i4.2197 fatcat:vh3g4gghzjgwlogkjggymm6iz4

An Introduction to the Pocket Negotiator: A General Purpose Negotiation Support System [chapter]

Catholijn M. Jonker, Reyhan Aydoğan, Tim Baarslag, Joost Broekens, Christian A. Detweiler, Koen V. Hindriks, Alina Huldtgren, Wouter Pasman
2017 Lecture Notes in Computer Science  
Users are supported in setting their preferences, estimating those of their opponent, during the bidding phase and sealing the deal.  ...  The Pocket Negotiator (PN) is a negotiation support system developed at TU Delft as a tool for supporting people in bilateral negotiations over multi-issue negotiation problems in arbitrary domains.  ...  In the preference elicitation interface the user sets all his preferences: domain related, strategic, and procedural.  ... 
doi:10.1007/978-3-319-59294-7_2 fatcat:tlt5eutfwjfqdbwrgw24dl6egu

Using Groups of Items to Bootstrap New Users in Recommender Systems

Shuo Chang, F. Maxwell Harper, Loren Terveen
2015 Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing - CSCW '15  
We find that, as compared with a baseline rate-15-items interface, (a) users are able to complete the preference elicitation process in less than half the time, and (b) users are more satisfied with the  ...  Our evaluation reveals several advantages and other trade-offs involved in moving from item-based preference elicitation to group-based preference elicitation.  ...  ACKNOWLEDGEMENT We thank anonymous reviewers for providing valuable feedback to our paper.  ... 
doi:10.1145/2675133.2675210 dblp:conf/cscw/ChangHT15 fatcat:ojygybw5gfcaplmk254wpt33fa

The Lookahead Principle for Preference Elicitation: Experimental Results [chapter]

Paolo Viappiani, Boi Faltings, Pearl Pu
2006 Lecture Notes in Computer Science  
We discuss the problem of eliciting preferences in example-based tools and present the lookahead principle for generating suggestions.  ...  User studies show that example-based tools for preference-based search can achieve significantly higher accuracy when they are complemented with suggestions chosen to inform users about the available choices  ...  We discussed two possible implementations of the principle, one based on Pareto optimality and one based on a Utility ranking.  ... 
doi:10.1007/11766254_32 fatcat:dov7mu7asjairhwcz7bkxg7sra

PTIME

Pauline M. Berry, Melinda Gervasio, Bart Peintner, Neil Yorke-Smith
2011 ACM Transactions on Intelligent Systems and Technology  
This article overviews the system design and describes the models and technical advances required to satisfy the competing needs of preference modeling and elicitation, constraint reasoning, and machine  ...  The agent allows its user to flexibly express requirements for new meetings, as they would to an assistant.  ...  Preference and Problem Elicitation, and User Interface Both the elicitation of an initial instance of the preference model (preference elicitation) and the specification of a meeting request (problem elicitation  ... 
doi:10.1145/1989734.1989744 fatcat:onwucubaqjgtrj4goj6txgdgaa

Decision Tradeoff Using Example-Critiquing and Constraint Programming

Pearl Pu, Boi Faltings
2004 Constraints  
We consider constructive preference elicitation for decision aid systems in applications such as configuration or electronic catalogs.  ...  Such a framework provides an agile preference model particularly powerful for preference revision during tradeoff analysis.  ...  Related Work Several decision support systems have employed similar example-based interfaces for preference elicitation, in particular FindMe [7] , ATA [24] , and Apt Decision [35] .  ... 
doi:10.1023/b:cons.0000049205.05581.24 fatcat:wx6csufrhjaptmehcj7ehbowoi

Evaluating example-based search tools

Pearl Huan Z. Pu, Pratyush Kumar
2004 Proceedings of the 5th ACM conference on Electronic commerce - EC '04  
As an alternative, research groups from the intelligent user interface community have developed various example-based search tools, including SmartClient from our laboratory.  ...  This shows that such tools are likely to be useful particularly for extending the scope of consumer e-commerce to more complex products.  ...  Table 1 . 1 A requirements catalog of preference elicitation for decision search tools.R2:Any orderThe interface should not impose a rigid order for preference elicitation.R3:Any preferenceThe interface  ... 
doi:10.1145/988772.988804 dblp:conf/sigecom/PuK04 fatcat:cpnl5kacxnczpnmvg4f7cimkze

Performance Evaluation of Consumer Decision Support Systems

Jiyong Zhang, Pearl Pu
2006 International Journal of E-Business Research  
Furthermore, we have identified three criteria in an evaluation framework for assessing the quality of such CDSSs: users' cognitive effort, preference expression effort, and decision accuracy.  ...  To more effectively compare the usefulness of the various functionalities and interface features of such systems, we have developed a simulation environment for decision tasks of any scale and structure  ...  ACKNOWLEDGMENTS Funding for this research was provided by the Swiss National Science Foundation under grant 200020-103490.  ... 
doi:10.4018/jebr.2006070103 fatcat:5agcmgx5yrhclpkueojwykqa5u

Preface to the special issue on user interfaces for recommender systems

Alexander Felfernig, Robin Burke, Pearl Pu
2012 User modeling and user-adapted interaction  
User interfaces for recommender systems Recommender systems provide a valuable support for users who are searching for products and services that match their preferences and needs.  ...  Content-based recommendations (Pazzani and Billsus 1997) are determined on the basis of the similarity between the preferences of a user (stored in a user profile) and the corresponding item descriptions  ...  The results of these studies are documented in terms of four design guidelines for preference elicitation interfaces which are: (1) users willing to spend more effort in preference elicitation should be  ... 
doi:10.1007/s11257-012-9120-5 fatcat:mijh7tqm5zeufgdkjhzddfsvku

User preference extraction using dynamic query sliders in conjunction with UPS-EMO algorithm [article]

Timo Aittokoski, Suvi Tarkkanen
2011 arXiv   pre-print
Our approach is based on intuitive use of dynamic query sliders, which serve as a means to extract preference information and are part of the graphical user interface implemented for the efficient UPS-EMO  ...  One drawback of evolutionary multiobjective optimization algorithms (EMOA) has traditionally been high computational cost to create an approximation of the Pareto front: number of required objective function  ...  Figure 2 : 2 The graphical user interface for data analysis and preference information elicitation for PUPS-EMO. Figure 3 : 3 Iterative and interactive optimization and analysis process.  ... 
arXiv:1110.5992v1 fatcat:m2g6ucsezzbn3meczqlrhaivby

Possible Optimality and Preference Elicitation for Decision Making [chapter]

Nawal Benabbou
2015 Lecture Notes in Computer Science  
Preference elicitation with limited available information is a crucial task in many application domains, including recommender systems and interface customization [28] .  ...  A possibly (resp. necessary) optimal solution is an option that is optimal for some (resp. all) parameters compatible with our knowledge about the decision maker's preferences.  ... 
doi:10.1007/978-3-319-23114-3_34 fatcat:fbjwi5oetjelte7umaidbyrm5m

Using Preferred Outcome Distributions to Estimate Value and Probability Weighting Functions in Decisions under Risk

Bas Donkers, Carlos J. S. Lourenço, Benedict G. C. Dellaert, Daniel G. Goldstein
2013 Social Science Research Network  
In contrast, preferred outcome distributions can be elicited through an intuitive graphical interface, and, as we show, the information contained in two preferred outcome distributions is sufficient to  ...  Extant approaches for the elicitation of these two key ingredients of individuals' risk attitude typically rely on a long, chained sequence of lottery choices.  ...  The Distribution Builder is thus a promising tool not only for scholars but also for practitioners, as its interactive graphical interface makes the elicitation of risk preferences an intuitive, simple  ... 
doi:10.2139/ssrn.2262354 fatcat:rn66amew5zf5vorqxahnegdkni

Using Preferred Outcome Distributions to Estimate Value and Probability Weighting Functions in Decisions under Risk

Bas Donkers, Carlos Lourenco, Benedict G. C. Dellaert, Daniel G. Goldstein
2013 Social Science Research Network  
In contrast, preferred outcome distributions can be elicited through an intuitive graphical interface, and, as we show, the information contained in two preferred outcome distributions is sufficient to  ...  Extant approaches for the elicitation of these two key ingredients of individuals' risk attitude typically rely on a long, chained sequence of lottery choices.  ...  The Distribution Builder is thus a promising tool not only for scholars but also for practitioners, as its interactive graphical interface makes the elicitation of risk preferences an intuitive, simple  ... 
doi:10.2139/ssrn.2262344 fatcat:mcbp44ivp5c57f2hrm3dhpnbui
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