Behavioral biometrics and ambient intelligence: New opportunities for context-aware applications

Ambient Intelligence has always been associated with the promise of exciting new applications, aware of the users' needs and state, and proactive towards their goals. However, the acquisition of the necessary information for supporting such high-level learning and decision-making processes is not always straightforward. In this chapter we describe a multi-faceted smart environment for the acquisition of relevant contextual information about its users. This information, acquired transparently through the technological devices in the environment, supports the building of high-level knowledge about the users, including a quantification of aspects such as performance, attention, mental fatigue and stress. The environment described is particularly suited for milieus such as workplaces and classrooms, in which this kind of information may be very important for the effective management of human resources, with advantages for organizations and individuals alike.(UID/CEC/00319/2013)info:eu-repo/semantics/publishedVersio

An agent-based architecture for online dispute resolution services

Tese de doutoramento em "Philosophy in Informatics"Conflicts are a natural consequence of our daily social interactions and should be regarded as opportunities to improve some aspect, condition or flaw. In order for conflicts to have positive outcomes, not only from an economical view but also concerning the maintenance of good interpersonal-relationships, tools are needed that can explain to the parties the inner mechanisms of the conflict resolution process, its restrictions and its rules. Only well-informed parties can take good and realistic decisions and better understand the others’. In this thesis, the most important aspects in a conflict resolution process concerning the aforementioned are identified, with the objective of designing a tool that can effectively support the parties from the beginning to the end of the conflict. The resulting tool, UMCourt , has as main objective to support decisions by providing the right information in the right moment to the right stakeholders. Specifically, several problems are addressed that include the definition of a suitable agent-based architecture, the building of important knowledge and the support in the negotiation process, either by generating solutions or by analysing the behaviour of the parties. This last issue is addressed in more detail in this thesis. In fact, the most serious drawback that was identified in current conflict resolution methods is their complete disregard for contextual and subjective information about the parties: the trend has been, for many years, to focus on the objective aspects of the conflict. The main contribution of this thesis is a vision on conflict resolution that goes the other way around: asides from objective information, decisions should also be based on contextual features such as our level of stress, body language, attitudes or our conflict handling style. We rely on this information on a daily basis to communicate efficiently. It results only logical that it should be included in conflict resolution methods that rely so heavily on communication. The approach put forward relies on the analysis of the individual’s behaviour in order to infer such context information. Disputant parties and, in particular, mediators and negotiators, can better understand the state of the participants and take better decisions (e.g. make a pause, understand how a party is affected by an issue). This is particularly important when online dispute resolution methods that rely on cold and impersonal communication technologies (often constituting a barrier to efficient communication) are used.Os conflitos são uma consequência natural das nossas interações sociais e devem ser vistos como oportunidades para melhorar determinados aspetos, condições ou mesmo falhas. Para que tenham resultados positivos, não só do ponto de vista económico mas também do ponto de vista das relações interpessoais, são necessárias ferramentas que expliquem às partes as particularidades do processo, as suas restrições e as suas regras. Apenas partes bem informadas podem tomar decisões realísticas e melhor entender as decisões dos restantes. Nesta tese, os aspetos mais importantes num processo de resolução de conflitos são identificados, com o objetivo de definir uma ferramenta que possa, efetivamente, suportar as partes do início ao fim do conflito. A ferramenta resultante, designada UMCourt , tem como principal objetivo suportar decisões fornecendo a informação certa no momento certo às entidades certas. Especificamente, vários problemas são atacados que incluem a definição de uma arquitetura de software adequada, a construção de conhecimento e o suporte à negociação, quer através da geração de soluções quer através da análise comportamental das partes. Este último tópico é tratado em mais detalhe nesta tese. De facto, a limitação mais significante que foi identificada nos atuais métodos de resolução de conflitos é a negligência da importância dos fatores contextuais e da informação subjetiva acerca das partes: a tendência tem sido no sentido de se focarem apenas nos aspetos objetivos. A principal contribuição desta tese é a de uma visão do processo de resolução de conflitos que aponta no sentido oposto: para além da informação objetiva, as decisões devem também ser baseadas em aspetos contextuais tais como o nível de stress, a linguagem corporal ou o estilo de lidar com o conflito. Enquanto indivíduos, baseamonos nestes aspetos diariamente para comunicar de forma eficiente. É portanto lógico que tal informação seja incluída em métodos de resolução de conflitos que se baseiam de forma tão clara na comunicação. A abordagem proposta baseia-se na análise comportamental de cada indivíduo para aquisiçao da informação de contexto. As partes em conflito e, em particular, os mediadores e negociadores, podem entender melhor o estado de todos os participantes e tomar melhores decisões (e.g. fazer uma pausa, perceber como uma parte é afetada por uma questão). Isto é especialmente importante quando são usados métodos de resolução de conflitos em linha baseados no uso de tecnologias de comunicação frias e impessoais, que geralmente configuram elas próprias um obstáculo à eficiência da comunicação

A inteligência artificial na resolução de conflitos em linha

A passagem para uma sociedade globalizada, assente em relações estabelecidas através do funcionamento das redes telemáticas, traz consigo novas necessidades no que à resolução de conflitos respeita. Os litígios podem agora surgir entre quaisquer duas pessoas ou entidades, independentemente do local físico em que se encontrem. O que nos leva a ter que encarar alternativas ao tradicional sistema de resolução judicial de conflitos, e até alternativas aos sistemas alternativos de resolução de conflitos(1).Esta publicação insere-se no TIARAC – Telemática e Inteligência Artificial na Resolução Alternativa de Conflitos (PTDC/JUR/71354/2006), que é um projecto de investigação suportado pela FCT – Fundação para a Ciência e Tecnologia

An environment for studying visual emotion perception

Visual emotion perception is the ability of recognizing and identifying emotions through the visual interpretation of a situation or environment. In this paper we propose an innovative environment for supporting this type of studies, aimed at replacing current pencil-and-paper approaches. Besides automatizing the whole process, this environment provides new features that can enrich the study of emotion perception. These new features are especially interesting for the field of Human-Compute Interaction and Affective computing as they quantify the effects of experiencing different emotional dimensions on the individual’s interaction with the computer.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio

Using genetic algorithms to create solutions for conflict resolution

The process of devising solutions for conflict resolution generally configures a challenging task. There exist different approaches to address the problem, namely the use of case-based models or even relying on the parties themselves to perform the task. From a computational point of view, these problems generally represent a NP-complete problem. In order to surpass this shortcoming, in this paper it is presented a biologically inspired method to deal with the problem in which genetic algorithms are used to create possible solutions for a given dispute. The approach presented is able to generate a broad number of diverse solutions that cover virtually the whole search space for a given problem. This approach provides better results than a case-based approach since: (1) it is independent of the legal domain and (2) it does not depend on the number and quality of cases present in a database. The results of this work are being applied in a negotiation tool that is part of the UMCourt conflict resolution platform.The work described here was developed under the TIARAC-Telematics and Artificial Intelligence in Alternative Conflict Resolution research project (PTDC/JUR/71354/2006), a research project supported by FCT (Science & Technology Foundation), Portugal. The work of Davide Carneiro was supported by a doctoral grant, also by FCT (SFRH/BD/64890/2009)

An agent-based architecture for multifaceted online dispute resolution tools

The Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2011), 2011Online Dispute Resolution (ODR) tools are being seen as a way to settle disputes out of courts, namely under virtual environments. However, the acceptance of these alternative methods is still relatively restricted, once existing tools are relatively undemanding and domain-centered. Indeed, there is the need for conceptual tools whose parts may be arranged for particular use, i.e., to operate in different domains. Following this line of attack, in this paper it will be presented a new agent-based approach to ODR. It comes in an abstract and formal form, in order to be independent of the legal domains, but specific enough to be applied to concrete ones. The main advantage is that functionality reuse is maximized, making architectures simpler to implement and to expandThe work described in this paper was developed under the TIARAC - Telematics and Artificial Intelligence in Alternative Conflict Resolution Project (PTDC/JUR/71354/2006), a research project supported by FCT (Science & Technology Foundation), Portugal

Incorporating stress estimation into user-centred agent-based platforms

Current virtual environments for communication, cooperation and problem solving lack the rich context information that is present in face-to-face interactions. People rely on this context information, that includes body language or level of stress just to name a few, to take decisions. In this paper we present an approach whose objective is to be able to acquire context information about the users of such technological tools, making that information available for the tool and eventually to other people. We present a prototype being developed in the context of an agent-based conflict resolution platform. As a result, we achieve communication and problem solving virtual environments that are richer and closer to traditional environments, allowing people and software agents to take better and more rational decisions

evoRF: An Evolutionary Approach to Random Forests

Machine Learning is a field in which significant steps forward have been taken in the last years, resulting in a wide variety of available algorithms, for many different problems. Nonetheless, most of these algorithms focus on the training of static models, in the sense that the model stops evolving after the training phase. This is increasingly becoming a limitation, especially in an era in which datasets are increasingly larger and may even arrive as sequential streams of data. Frequently retraining a model, in these scenarios, is not realistic. In this paper we propose evoRF: a combination of a Random Forest with an evolutionary approach. Its key innovative aspect is the evolution of the weights of the Random Forest over time, as new data arrives, thus making the forest’s voting scheme adapt to the new data. Older trees can also be replaced by newly trained ones, according to their accuracy, ensuring that the ensemble remains up to date without requiring a whole retraining.This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019

Continuous authentication with a focus on explainability

Traditional explicit authentication mechanisms, in which the device remains unlocked after the introduction of some kind of password, are slowly being complemented with the so-called implicit or continuous authentication mechanisms. In the latter, the user is constantly monitored in one or more ways, in search for signs of unauthorized access, which may happen if a third party has access to the phone after it has been unlocked. There are some different forms of continuous authentication, some of which based on Machine Learning. These are generally black box models, that provide a decision but not an explanation. In this paper we propose an approach for continuous authentication based on behavioral biometrics, machine learning, and that includes domain-dependent aspects for the user to interpret the actions and decisions of the system. It is non-intrusive, does not require any additional hardware, and can be used continuously to monitor user identity.This work has been supported by national funds through FCT – Fundação para a Ciência e Tecnologia through project UIDB/04728/2020

Towards domain-independent conflict resolution tools

Given the current state of the legal systems, Online Dispute Resolution tools are being regarded as an alternative way to solve conflicts out of courts, namely under virtual environments. However, the use of these tools is still relatively restricted as they are still few in number and very domain-cantered. Indeed, abstract and conceptual tools whose building blocks could be adapted for particular use would foster the development of ODR systems. In this paper we present this novel line of attack, in which an agent-based architecture is used with the support of an ontology to build an abstract and formal ODR system, independent of the legal domains, but specific enough to be applied to concrete ones. Functionality reuse is maximized, making architectures simpler to implement and to expand.The work described in this paper was developed under the TIARAC - Telematics and Artificial Intelligence in Alternative Conflict Resolution Project (PTDC/JUR/71354/2006), a research project supported by FCT (Science & Technology Foundation), Portugal