PUBLICATION:

We are pleased to solicit original and unpublished papers for publication and presentation in the Working Conference on Human Factors and Computational Models in Negotiation. Articles describing novel ideas and applications in all areas related to human factors and computational models in negotiation are of interest. We also invite submissions of statements of interests or position papers. Submit your paper electronically in either PDF or postscript format. Papers should not be more 6000 words. Submission is entirely automated by a paper management tool, which is available from the main web site: http://www.easychair.org/conferences/?conf=hucom10.

Accepted papers will be published in the Proceedings of the Group Decision and Negotiation conference.


AIMS AND SCOPE:

Negotiation is a complex and sometimes emotional decision-making process aiming to reach an agreement to exchange goods or services. Although a daily activity, extensive research has shown that few people are effective negotiators. Current state of the art negotiation support systems can help make a significant improvement in negotiation performance. In particular, when the negotiation space is well-understood such systems can make a difference, partly because machines can much better deal with the computational complexity involved. However, the negotiation space can only be properly developed if the human parties jointly explore their interests.
The inherent semantic problem and the emotional issues involved make that negotiation cannot be handled by artificial intelligence alone, and a human-machine collaborative system is required. Such systems are not only to support humans in providing strategic advice but also in coping with emotions and moods in human-human interactions.

In order to develop human-machine collaborative negotiation support systems there is a need for the development of computational models, frameworks, and experimental, user-centred and ergonomic methods that enable the engineering of negotiation support systems. It is important for this purpose to study the role of human factors in negotiation as well as computational models to enable intelligent support for negotiation. To develop the next generation of negotiation support systems there are still many, diverse challenges:
models of (qualitative, incomplete) preferences, preference change and strategies, preference elicitation, assessment methods for negotiation performance, learning and adaptativeness in negotiation, models of emotion and user awareness, the use and creation of domain knowledge, user interfaces for negotiation support, human-supported assessment of opponent, conflict handling styles, experimental methods.

Topics covered include but are not limited to:
- Negotiation strategies (bidding, acceptance)
- Argumentation for negotiation
- Negotiation interaction
- Learning in negotiation
- Negotiation domain knowledge
- Case studies
- Preference elicitation
- Qualitative preferences
- Incomplete preferences
- Ontologies for negotiation (protocols, preferences, domain knowledge)
- Negotiation Support Systems
- User interfaces for Negotiation Support Systems
- Human-machine negotiation
- Negotiation, conflict handling, and experiments related to e.g. consensus building
- Personality in negotiation (e.g. Big Five)
- Emotions in negotiation
- Cultural factors in negotiation
- Negotiation bidding advice
- Negotiation conflict styles
- Trust in automatically generated negotiation advice
- Negotiation applications
- E-commerce
- Methods and tools for negotiation tasks
- Design and Evaluation of support systems
- Conflict handling styles and consensus building
- HCI aspects and human factors of negotiation


Program Chairs:

Koen Hindriks - Delft University of Technology, Delft, The Netherlands
Catholijn Jonker - Delft University of Technology, Delft, The Netherlands
Pascal Wiggers - Delft University of Technology, Delft, The Netherlands

PROGRAM COMMITTEE:
Brooke Abrahams, Victoria University, Melbourne, Australia
Reyhan Aydogan, Bogazici University, Turkey
Willem-Paul Brinkman, Delft University of Technology, The Netherlands
Frank Dignum, Utrecht University, The Netherlands
Shaheen Fatima, Loughborough University, UK
Yakov Gal, Harvard University, US
Joseph Giampapa, Carnegie Mellon University, US
Gert Jan Hofstede, Wageningen University, The Netherlands
Mark Hoogendoorn, Vrije Universiteit, The Netherlands
Takayuki Ito, Nagoya Institute of Technology, Japan
Raz Lin, Bar-Ilan University, Israel
Steve Love, Brunel University, UK
Tom McEwan, Napier University, UK
Mark Neerincx, TNO, The Netherlands
Iyad Rahwan, Masdar Institute of Science & Technology, United Arab Emirates
Valentin Robu, University of Southamption, UK
Carles Sierra, IIIA-CSIC, Spain
Liz Sonenberg, University of Melbourne, Australia
Dmytro Tykhonov, Delft University of Technology, The Netherlands
Tim Verwaart, Delft University of Technology, The Netherlands
Hans Weigand, Tilburg University, The Netherlands
John Zeleznikow, Victoria University, Melbourne, Australia

INFORMATION:
For further information please contact: k.v.hindriks@tudelft.nl