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This paper is focused on comparing corpus-based methods for estimating word sentiment. Evaluated algorithms represent varying degrees of supervision and range from regression alike approaches to more heavily supervised classifications. The main idea is to explore the opportunities arising from mining medium sized, balanced corpora -- as opposed to web as a corpus paradigm. The comparisons have been...
Intelligent personalized systems often ignore the affective aspectof human behavior and focus more on tactile cues of the useractivity. A complete user modeling, though, should also incorporatecues such as facial expressions, speech prosody and gesture orbody posture expressivity features, in order to dynamically profile the user, fusing all available modalities since these qualitative affective cues...
Context-aware information retrieval received a significant attention last years. This paper addresses some of the challenges in context acquisition. It is focused on a method for inference of unavailable contextual information using machine learning. The method for context inference is based on observed behaviour of individual user and virtual communities of similar users. We work with contextual...
Agent based simulations often model humans and increasingly it is necessary to do this at an appropriate level of complexity. It has been suggested that the Belief Desire Intention (BDI) paradigm is suitable for modeling the cognitive processes of agents representing (some of) the humans in an agent based modeling simulation. This approach models agents as having goals, and reacting to events, with...
Crowd sourcing is a new paradigm of service provision. Current commercial crowd sourcing platforms rarely consider the interaction between task takers, which is extremely required in the disaster management scenario. In this paper, we designed a framework for community based crowd sourcing, i.e., task takers are from an existing community or will easily form a new community. A size-specified community...
Speech dialogue systems, such as Apple's “Siri,” have gradually become more widespread, and in the near future, a greater number of general users will have the opportunity to communicate with such systems. To facilitate this, it is necessary for the system to communicate more naturally with users, and to realize that both verbal and nonverbal information must be taken into consideration. Therefore,...
In contrast to intelligence, wisdom is the part of the propositional knowledge part of the background of knowledge that is a mean between two extremes of believing without sufficient evidence and not believing with sufficient evidence. Wisdom may be incorporated in an artificial intelligence system as artificial wisdom (AW). An intelligence system with AW, will learn a collection of activities like...
The success rate of IT system development projects has remained as low as 30 %, resulting in that more than 60 % of workers have suffered from problems. This paper proposes a software agent to replace rudimentary-level human counselors. The agent uses a counseling knowledge whose domain is limited to IT workers or students. Counseling differs from learning support whose problems are clear and well-understood...
Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases. In this paper, we introduce the novel technique to improve the activity recognition system in smart home domain. We propose the three contributions in this...
We present a methodology to investigate the structure of dynamic networks in terms of concentration of changes in the network. We handle dynamic networks as series of graphs on a fixed set of nodes and consider the changes occurring between two consecutive graphs in the series. We apply our methodology to various dynamic contact networks coming from different contexts and we show that changes in these...
In many decision problems, there are two levels of choice: The first one is strategic and the second is tactical. We formalize the difference between both and discuss the relevance of the bandit literature for strategic decisions and test the quality of different bandit algorithms in real world examples such as board games and card games. For exploration-exploitation algorithm, we evaluate the Upper...
A variety of interaction models among agents have been developed, however the research about human attitude toward multiple robot interaction has been out of research focus. While a service robot interacts with more human users, multi-robots interact with humans and even with other robots. In the environment, the interactive behavior of human is affected by multiple robotic interactions. This paper...
Qualitative representation and reasoning on Complex Systems (CS) is important for a number of human activities on CS, mainly for the understanding of both, our perception about their structure as well as their dynamics. Formal Concept Analysis can help understanding the conceptual structure behind these qualitative representations by means of the called concept lattices (CL). In this paper the scale...
Task allocation strategy has a great impact on the performance of the workflow management system in workflow scheduling. Most task allocation algorithms focus on the resource status only. Few algorithms consider the change of efficiency while performer working with different people. To achieve this, this paper presents a concept of Social Context Impact Factor (SCIF) and implements several task allocation...
As human action is uncertain and illegible, a human action recognition method basing on fuzzy support vector machine is presented. Fuzzy support vector machine employs the membership function to solve the unclassifiable areas which happens the traditional SVMs' two-class problems extend to the multi-class problems. the method is evaluated on the Weizmann action dataset and received comparative high...
We are developing online interactive materials that allow students to adapt their text and homework to their own needs and interests. For example, students may specify topic areas of interest and then selected mathematics homework word problems are adapted to those areas. Using proper data management, their work can be hand-graded with feedback for the students and allowances for students to correct...
Human resource allocation is one of the main tasks in software projects, they are determinant in the project quality and success. In this context, this paper presents a qualitative research about human resource allocation conducted in seven companies of different sizes and organizational contexts. The objective of this research is to identify the criteria used by managers to perform the allocation...
In this paper we introduce a new approach to Virtual World-based Command and Control environments for multi-domain operations. Our target scenario is a military coalition operation in a common operation setting. All coalition partners participate in a common virtual command and control environment while different operational contexts take place simultaneously, at different levels of information release...
The ability to recognize human actions is a fundamental problem in many areas of robotics research concerned with human-robot interaction or learning from human demonstration. In this paper, we present a new integrated approach to identifying and recognizing actions in human movement sequences and their reproduction in unknown situations. We propose a set of task-space features to construct probabilistic...
In this paper we discuss the problem of action-specific knowledge processing, representation and acquisition by autonomous robots performing everyday activities. We report on a thorough analysis of the household domain, which has been performed on a large corpus of natural-language instructions from the Web and underlines the supreme need of action-specific knowledge for robots acting in those environments...
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