Subject: ACM TiiS special issue on Human Decision Making and Recommender
Systems



Call for Papers



Special Issue of the

ACM Transactions on Interactive Intelligent Systems on HUMAN DECISION
MAKING AND RECOMMENDER SYSTEMS



Main submission deadline: February 29th, 2012



http://tiis.acm.org/special-issues.html



AIMS AND SCOPE



A primary function of recommender systems is to help people make good
choices and decisions. But in research on recommender systems, surprisingly
little attention has been devoted to the decision making processes of
users. Instead, it has focused mainly on (a) ways of eliciting and modeling
users' preferences and (b) algorithms for identifying items that a user is
likely to evaluate positively. Even systems that do explicitly aim to
support the decision making process could benefit from greater use of
knowledge about human decision making. And the growing amount of research
on users' interaction with recommender systems, which aims to enhance their
usability and acceptance, can be expanded to consider support for specific
aspects of decision making.



This special issue will highlight research that explicitly considers ways
in which an understanding of human choice and decision making can benefit
research and practice on recommender systems. The dimensions listed below
indicate the range of work that is relevant to the special issue. In case
of doubt about the relevance of your topic, please contact the special
issue associate editors.



TOPIC DIMENSIONS



Types of Decision Made by Users of Recommender Systems

- Decisions about items in some domain (e.g., products,

  documents, ...)

- Decisions about actions performed as part of the domain-level

  decision making process (e.g., what information to divulge or

  to acquire)



Aspects of the Recommendation Process

- Acquiring information about users' preferences

- Modeling users' preferences

- Provision of decision-relevant information

- Presentation and explanation of recommendations

- Adaptation to the interaction context

- Special characteristics of recommendation to groups

- ...



Aspects of Human Choice and Decision Making

- What people desire in a decision making process

- Roles of justification and argumentation in decision making

- Descriptive models of choice

- Heuristics and biases

- The nature of preferences

- Temporal aspects of decision making

- Forms of social influence

- Roles of emotion and mood

- Effects of learning from experience

- Negotiation in decision making

- Factors that influence decision making (e.g., culture, mood,

  time pressure ...)

- ...



Evaluation Criteria for Recommender Systems

- Decision quality

- Minimization of effort and stress

- Trust and confidence

- ...



Nature of the Research Contribution

- Novel functionality inspired by an understanding of human

  decision making

- Empirical results concerning decision making with recommender

  systems

- Innovation in research methodology (e.g., concerning ways of

  evaluating recommender systems or observing users' decision

  making processes)

- ...



SPECIAL ISSUE ASSOCIATE EDITORS



- Alexander Felfernig, Graz University of Technology, Austria

  (afelfern[at]ist[dot]tugraz[dot]at)

- Francesco Ricci, Free University of Bozen-Bolzano, Italy

  (francesco[dot]ricci[at]unibz[dot]it)

- Li Chen, Hong Kong Baptist University, China

- Giovanni Semeraro, Marco de Gemmis, and Pasquale Lops,

  University of Bari Aldo Moro, Italy



IMPORTANT DATES



- By February 29th, 2012: Submission of manuscripts

- By May 29th, 2012: Notification about decisions on initial

  submissions

- By August 27th, 2012: Submission of revised manuscripts

- By October 26th, 2012: Notification about decisions on revised

  manuscripts

- By November 26th, 2012: Submission of manuscripts with final

  minor changes

- Starting December, 2012: Publication of the special issue on

  the TiiS website, in the ACM Digital Library, and (shortly

  afterward) as a printed issue



HOW TO SUBMIT



Please see the instructions for authors on the TiiS website (tiis.acm.org).



ABOUT ACM TiiS



TiiS (pronounced "T double-eye S") is a recently founded ACM journal for
research about intelligent systems that people interact with.  The
journal's procedures and infrastructure have been designed to combine the
traditional quality and depth of ACM journals with the efficiency and
predictability of the best-run conferences.

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