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The psychological overcharge issue related to human inadequacy to maintain a constant level of attention in simultaneously monitoring multiple visual information sources makes necessary to develop enhanced video surveillance systems that automatically understand human behaviors and identify dangerous situations. This paper introduces a semantic human behavioral analysis (HBA) system based on a neuro-fuzzy...
In this paper, an approach for semantic compositionbased on space projection operations over basic geometriclexical representations is proposed. Syntactic bi-grams arehere projected in the so called Support Subspace, aimed atemphasizing the semantic features shared by the compoundword. Empirical results are discussed over two tasks: a finegrainedsimilarity estimation task over syntactically typedword...
Communication in online social networks has been analyzed for some time regarding the expression of sentiments. So far, very little is known about the relationship between sentiments and network emergence, dissemination patterns and possible differences between positive and negative sentiments. The dissemination patterns analyzed in this study consist of network motifs based on triples of actors and...
The growing number of textual reports poses a great challenge for investigative analysis. However, text visualization has the potential to address this problem by automating the analysis of text reports, thus reducing workloads and providing new insights for crime analysts. We are developing a crime report visualization system for such investigative analysis. Our system leverages natural language...
Grooming is the process by which pedophiles try to find children on the internet for sex-related purposes. In chat conversations they may try to establish a connection and escalate the conversation towards a physical meeting. Till date no effective methods exist for quickly analyzing the contents, evolution over time, the present state and threat level of these chat conversations. In this paper we...
Availability of low cost sensor nodes has made Wireless Sensor Networks (WSNs) a viable choice for monitoring critical infrastructure such as power grid, civil structures and others. There are quite a few approaches in the literature that use WSN to monitor pipelines (water, gas, oil, and various other types of pipelines). The primary goal of all these protocols is to detect device malfunctions such...
In the field of Human-Computer Interaction, the Personas methodology is used to communicate the user's preferences, goals, frustrations and requirements. Although a widely used method, little progress has been made in creating a personas model. This paper aims to provide such a conceptual model, which includes concepts and properties used in the personas methodology, via an OWL specification.
When large values are at stake, the attacker and the attacker's motives cannot be easily modeled, since both the organization at stake and the possible attackers are unique and have complex motives. Hence, rather than using stereotypical attacker models, recent work proposes realistic profiling of the opponent by the use of user-centered design principles in form of the persona methodology. Today,...
Over the last decades it has been observed that many companies around the world have started to adopt Distributed Software Development (DSD) to create competitive advantages. Aiming to increase such advantages, many of these companies add some team motivation techniques to DSD. However, the motivation of DSD teams reveals some peculiarities that should be taken into account. This paper presents a...
Users' experience of interacting with a robot is mediated by the context that characterizes the co-existence of the human and the robot. However, it has been difficult to study the role of social context in human-robot interaction (HRI) in experimental settings. In this research, we evaluated how social context influenced user acceptance of social robots in a controlled experiment. Using video scenarios...
Recommender systems automatically determine suitable items for users. Although preferences or context of users have been widely utilized in order to evaluate the suitability of the items for users, the surrounding context have little been considered. Focusing on that many ordinary human beings voluntarily report their observations of the current situation of the world to microblogs, this paper proposes...
Culture is a critical influential factor in online learning environments. In the present scenario a designer from a particular cultural background conceptualizes a globalized educational product to be delivered across geographical boundaries through the online medium. Design of such products is influenced by the designer's pre-suppositions about how he / she visualizes the reality and conceptualizes...
Recognizing human interactions is a challenging task due to partially occluded body parts and motion ambiguities in interactions. We observe that the interdependencies existing at both action level and body part level greatly help disambiguate similar individual movements and facilitate human interaction recognition. In this paper, we propose a novel hierarchical model to capture such interdependencies...
This paper introduces a proposal for a smart environment capable of deploying enhanced services by using a synergic approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy Markup Language (FML). In detail, this approach realizes a long-life learning strategy able to generate context-aware services and actualize them through abstraction techniques in order to maximize the users' comfort...
For some years, competency-based learning and training has known a growing interest, especially in conjunction with proliferation of the terms "knowledge society", "citizen mobility", or "globalization". Competency modeling becomes an important concept in many domains, especially in human resource development and e-Learning. In this paper, we present a review of relevant...
This paper addresses the problem of extracting perceptually dominant color names of images. Our approach is motivated by the principle that the pixels corresponding to one dominant color name identified by human are often context dependent, spatially connected and form a perceptually meaningful region. Our algorithm first learns the probabilistic mapping from a RGB color to a color name. Then, a double-threshold...
The number of elderly population is increasing worldwide and often they need assistance in their daily activities. In many situations, these elders are placed in elderly care facilities in order to receive continuous assistance from the human caregivers. The caregivers usually keep a watchful eye on the elders and help them in their activities of daily living. However, study shows that the human caregivers...
Confronting conflicts and coping with them is part of social life, since conflicts seem to arise in almost every context and developmental stage of human life. The personal and collective gains that follow conflict resolution have motivated scholars across many research fields to advocate the use of pro-social mechanisms for resolution. The Siren serious game aims to support teachers' role to educate...
This visionary paper outlines a future intelligent building office space room system that seeks to ensure that the users of a rent able and/or shared office space do not perform actions that are likely to compromise IT security. We propose that a novel room agent leverages the emergent"smart" city paradigm so as to form an accurate a measure as possible of the trustworthiness of the human...
Around Device Interaction (ADI) is recently introduced in the field of Human Computer Interaction (HCI)to provide touch less, more intuitive way of interaction using space beyond the physical boundary of the computing devices. In this paper, we introduce a new ADI input device called Pingu in the form factor of a fingering that allows users to interact with any nearby computing device with wireless...
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