ISMIS 2012 - The 20th International Symposium on Methodologies for Intelligent Systems
The 20th International Symposium on Methodologies for Intelligent Systems ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. It provides a medium for exchanging scientific research and technological achievements accomplished by the international community.
The scope of ISMIS is intended to represent a wide range of topics on applying Artificial Intelligence techniques to areas as diverse as decision support, automated deduction, reasoning, knowledge based systems, machine learning, computer vision, robotics, planning, databases, information retrieval, etc.
It is organized in conjunction with WI/IAT'12 and BI/AMT'12.
Call for Papers - Special Session #3
Special Session on Human Factors in Information Retrieval
Macau, 4-7 December 2012
Through numerous research programs, competitions, and economic surveys, automated information retrieval systems and recommender systems have been proven to be efﬁcient and useful by reducing the cognitive load and time required during the search and access to data. Over the past two decades of research within this field, this improvement of human-computer interactions is mainly relying on increasing systems' accuracy at different levels. Usage mining techniques aim at inferring accurate preferences, habits, and interests and building profiles from users' actions. Collaborative and content-based filtering make use of these profiles to provide users with relevant recommendations.
Ontology-based systems formally define concepts within a domain, thus reducing ambiguity. All these machine learning models and algorithms are evaluated relatively to true risk and empirical risk, leading to very accurate contents. Yet, a crucial aspect is missing within these evaluation metrics. It does not take into account human factors playing a role within the decision process. Even the most relevant information is not sufficient to maximize users' acceptance/adoption rate, and satisfaction. The time has come to design holistic intelligent systems that provide the right information at the right time, in the correct manner, in agreement with users' policy and with valuable arguments. New challenges consist in: (1) identifying human factors that play a role within decision making an/or maximize users' acceptance, adoption and satisfaction, (2) integrating these factors in machine learning algorithms, (3) designing interfaces to improve human-computer interactions.
Topics of interest include (but are not limited to) the following:
- Human factors and decision making (diversity, personality, emotions, mood, culture, ...)
- Preserving privacy while modeling users and recommending items
- Trust and reputation
- Context and information retrieval
- Impact of recommenders on decision process
- Multi-criteria optimization (privacy vs. accuracy, diversity vs. similarity, scalability vs. time constraints, ...)
- User studies (identifying human factors, evaluation of recommender systems)
- Social influence (leaders, explicit and implicit social networks, maximizing acceptance, manipulation...)
- User-centered design and adaptation of interfaces
- Presentation and explanations in recommender systems
- Visual representation of data
|Electronic submission of full papers:|
|Notification of paper acceptance:||August 1st, 2012|
|Camera-ready of accepted papers:||August 20th, 2012|
|Conference:||December 4-7, 2012|
- Authors are invited to submit their manuscript in LNCS/LNAI style (please see this page), maximum 10 pages.
- Paper should be submitted in PDF form via ISMIS 2012 Online Submission System:
- The submitted papers will be reviewed by the session's program committee.
- The session's accepted papers will be all included in the conference's main proceedings.
Organization Committee/Session Chair:
- Anne Boyer, LORIA, Lorraine University, France (Anne.Boyer@loria.fr)
- Sylvain Castagnos, LORIA, Lorraine University, France (email@example.com)
- Anne Boyer (LORIA, Lorraine University, Nancy - France)
- Shlomo Berkovsky (CSIRO, TasICT Centre, Hobart - Australia)
- Catherine Berrut (LIG, Grenoble - France)
- Robin Burke (DePaul University, Chicago - USA)
- Sylvain Castagnos (LORIA, Lorraine University, Nancy - France)
- Li Chen (Hong Kong Baptist University, China)
- Nathalie Denos (LIG, Grenoble - France)
- Patrick Gallinari (LIP6, Paris - France)
- Dietmar Jannach (University of Dortmund, Germany)
- Alfred Kobsa (University of California, Irvine - USA)
- Judith Masthoff (University of Aberdeen, Scotland - UK)
- Cecile Paris (CSIRO ICT Centre, Australia)
- Liana Razmerita (CBS, Copenhagen - Denmark)
- Francesco Ricci (University of Bozen-Bolzano, Italy)
- Michael Thelwall (University of Wolverhampton, UK)