Artificial intelligence (AI) technologies are increasingly integral to our world, as they serve the foundation for new value propositions and distinctive customer experiences. AI is crucial offering better experiences, which strengthen consumer–brand relationship brand differentiation. Based on stimulus–organism–response model, this study examined influence of preference retail banks in Hong Ko...

There is a growing interest in producing story based game experiences that do not follow fixed scripts predefined by the author, but change the experience based on actions performed by the player during his interaction. In order to achieve this objective, previous approaches have employed a drama management component that produces a narratively pleasing arc based on an author specified aestheti...

tAuthor to whom all correspondence should be addressed. :~Reseaxch of these authors was supported by the CNPq Grant No. 550408-2002/9. 0898-1221/06/$ see front matter (~) 2006 Elsevier Ltd. All rights reserved. doi:10.1016/j.camwa.2006.08.012 Typeset by A A~-TEX 180 P. YA. EKEL et al. Ueywords -Unce r t a in ty factor, Fuzzy coefficients, Interrelated models, Multiobjective decision making, Fuz...

We have been developing an experimental prototype system -Smart Shop, an application of personal information assistance in a shopping context, (1) to find items of users’ interest and/or preferences through data observed from users’ behaviors in a ubiquitous information environment, (2) to automatically build a user preference model, and (3) to apply the model and provide suitable information s...

a r t i c l e i n f o Although much of the research on human mate preference assumes that mate preference and partner choice will be related to some extent, evidence for correlations between mate preference and mate choice is mixed. Inspired by biological market theories of mate choice, which propose that individuals with greater market value will be better placed to translate their preference ...

4 The Preference Trend Mining (PTM) algorithm that is proposed in this work aims to address some fundamental challenges of current demand modeling techniques being employed in the product design community. The first contribution is a multistage predictive modeling approach that captures changes in consumer preferences (as they relate to product design) over time, hereby enabling design engineer...

This article examines an extension of the decompositional, conjoint, or stated-preference approach to model group decisions. In the conventional approach, only one member is chosen to be the group’s representative and provide answers for the group as a whole. In this study, all group members are brought together and asked to jointly complete a conjoint preference experiment. The hypothesis is t...

In “multi-agent” vstems such as groups, problem solving is an intentional process that causes individual agents to pursue goals, commit to action, and adopt beliefs, as well as seek and manipulate related knowledge and infimtation. Because human agents can engage in such action independently, conjlicting agent-centric preference for ‘@roducf ” and ‘@ocess” emerge in group problem solving. Altho...

This workshop paper briefly presents a theoretical framework for explaining and predicting differences and changes in users’ preferences concerning the systems they use—in particular, user-adaptive systems. The ultimate purpose of this framework is to increase our ability to understand and predict users’ preferences and to design (user-adaptive) systems accordingly. In our workshop presentation...

Based on the concept of general domination structures, this paper presents an approach to model variable preferences for multicriteria optimization and decision making problems. The preference assumptions for using a constant convex cone are given, and, in remedy of some immanent model limitations, a new set of assumptions is presented. The underlying preference model is derived as a variable d...