This paper describes an experiment and its results concerning research that has been going on for a number of years in the area of anthropomorphic user interface feedback. The main aims of the research have been to examine the effectiveness and user satisfaction of anthropomorphic feedback. The results are useful to all user interface designers wishing to improve the usability of their products...

The purpose of this note is to compute the probability of logrolling for three different probabilistic cultures. The primary finding is that the restriction of preferences to be in accord with the condition of separable preferences creates enough additional structure among voters’ preference rankings to create an increase in the likelihood that a Condorcet winner will exist with both IC and IAC...

This paper describes a method for planning with rich qualitative, temporally extended preferences (QTEPs) using lookahead heuristics inspired by those employed in state-of-the-art classical planners. Key to our approach is a transformation of the planning domain into an equivalent but simplified planning domain. First, compound preference formulae are transformed into simpler, equivalent prefer...

We consider voting over combinatorial domains, where alternatives are binary tuples. We assume that votes are specified as conditionally lexicographic preferences, or LP trees. We study aggregation problems of LP tree votes for several positional scoring rules. Our main goal is to demonstrate that answer-set programming can be effective in solving the winner and the evaluation problems for inst...

This article tries to explain the exceptional levels of knowledge creation in certain industrial clusters, levels that are seemingly higher than what is implied by the usual models of atomistic agents who do not internalize externalities. For this purpose, we introduce reference-dependent utility into an OLG model of an industrial cluster where agents allocate resources between consumption and ...

Core-selection is a crucial property of social choice functions, or rules, in social choice literature. It is also desirable to address the incentive of agents to cheat by misreporting their preferences. This paper investigates an exchange problem where each agent may have multiple indivisible goods, agents’ preferences over sets of goods are assumed to be lexicographic, and side payments are n...

Recommender systems have become essential tools in many application areas as they help alleviate information overload by tailoring their recommendations to users’ personal preferences. Users’ interests in items, however, may change over time depending on their current situation. Without considering the current circumstances of a user, recommendations may match the general preferences of the use...

We consider the problem of learning preferences over trajectories for mobile manipulators such as personal robots and assembly line robots. The preferences we learn are more intricate than those arising from simple geometric constraints on robot’s trajectory, such as distance of the robot from human etc. Our preferences are rather governed by the surrounding context of various objects and human...

In this paper, we present an adaptive feedback scheme, which is incorporated in the “Knowledge Reconstruction + Refinement” process of a webbased concept mapping tool, named COMPASS, in order to support the reflection process in concept mapping. The feedback scheme includes multiple informative and tutoring feedback components and combines a stepwise presentation of these components with a mult...

 Scenarios: Relates to the process where the user queries his need and related information on the search query is provided to the user based upon his current query term and his profile. Explicit feedback is a scenario where the user provides input of his preferences to the recommender. Implicit feedback is a scenario where the system gathers information about user in an implicit manner through...