Browsing by Author "Novais, Paulo"
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- Ambient intelligence in emotion based ubiquitous decision makingPublication . Marreiros, Goreti; Santos, Ricardo; Ramos, Carlos; Neves, José; Novais, Paulo; Machado, José; Bulas-Cruz, JoséAs the time goes on, it is a question of common sense to involve in the process of decision making people scattered around the globe. Groups are created in a formal or informal way, exchange ideas or engage in a process of argumentation and counterargumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. In this work it is proposed an agent-based architecture to support a ubiquitous group decision support system, i.e. based on the concept of agent, which is able to exhibit intelligent, and emotional-aware behaviour, and support argumentation, through interaction with individual persons or groups. It is enforced the paradigm of Mixed Initiative Systems, so the initiative is to be pushed by human users and/or intelligent agents.
- Ambient Intelligent Systems: The Role of Non-Intrusive and Sensitive ApproachesPublication . Gonçalves, Filipe; Pêgo, José Miguel; Carneiro, Davide; Novais, Paulo
- An Application to Enrich the Study of Auditory Emotion RecognitionPublication . Rodrigues, Renato; Mendes, Augusto J.; Carneiro, Davide; Amorim, Maria; Pinheiro, Ana P.; Novais, Paulo
- An Environment for Studying Visual Emotion PerceptionPublication . Carneiro, Davide; Rocha, Hélder; Novais, Paulo
- Analysis of Mental Fatigue and Mood States in WorkplacesPublication . Pimenta, André; Carneiro, Davide; Neves, José; Novais, Paulo
- Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist PreferencesPublication . Meira, Jorge; Carneiro, João; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Novais, Paulo; Marreiros, GoretiArgumentation-based dialogue models have shown to be appropriate for decision contexts in which it is intended to overcome the lack of interaction between decision-makers, either because they are dispersed, they are too many, or they are simply not even known. However, to support decision processes with argumentation-based dialogue models, it is necessary to have knowledge of certain aspects that are specific to each decision-maker, such as preferences, interests, and limitations, among others. Failure to obtain this knowledge could ruin the model’s success. In this work, we sought to facilitate the information acquisition process by studying strategies to automatically predict the tourists’ preferences (ratings) in relation to points of interest based on their reviews. We explored different Machine Learning methods to predict users’ ratings. We used Natural Language Processing strategies to predict whether a review is positive or negative and the rating assigned by users on a scale of 1 to 5. We then applied supervised methods such as Logistic Regression, Random Forest, Decision Trees, K-Nearest Neighbors, and Recurrent Neural Networks to determine whether a tourist likes/dislikes a given point of interest. We also used a distinctive approach in this field through unsupervised techniques for anomaly detection problems. The goal was to improve the supervised model in identifying only those tourists who truly like or dislike a particular point of interest, in which the main objective is not to identify everyone, but fundamentally not to fail those who are identified in those conditions. The experiments carried out showed that the developed models could predict with high accuracy whether a review is positive or negative but have some difficulty in accurately predicting the rating assigned by users. Unsupervised method Local Outlier Factor improved the results, reducing Logistic Regression false positives with an associated cost of increasing false negatives.
- Behavioral biometrics and ambient intelligence: New opportunities for context-aware applicationsPublication . Carneiro, Davide; Novais, Paulo
- Characterizing attentive behavior in intelligent environmentsPublication . Durães, Dalila; Carneiro, Davide; Jiménez, Amparo; Novais, Paulo
- Context acquisition in auditory emotional recognition studiesPublication . Carneiro, Davide; Pinheiro, Ana P.; Novais, PauloThis paper describes an environment to assess auditory emotional recognition based on a mobile application. The primary aim of this work is to provide a valuable instrument that can be used both in research and clinical settings, responding to the strong need of validated measures of emotional processing, especially in Portugal. The secondary aim is to acquire and study the participants' interaction behavior with the technological device (e.g. touch patterns, touch intensity), in search for a relationship with medical conditions, cognitive impairments, auditory emotional recognition capacities or socio-demographic indicators. This will establish the basis for the prediction of such aspects as a function of an individual's interaction with technological devices, potentially providing new diagnostic tools.
- Context acquisition in auditory emotional recognition studiesPublication . Carneiro, Davide; Pinheiro, Ana P.; Novais, PauloThis paper describes an environment to assess auditory emotional recognition based on a mobile application. The primary aim of this work is to provide a valuable instrument that can be used both in research and clinical settings, responding to the strong need of validated measures of emotional processing, especially in Portugal. The secondary aim is to acquire and study the participants' interaction behavior with the technological device (e.g. touch patterns, touch intensity), in search for a relationship with medical conditions, cognitive impairments, auditory emotional recognition capacities or socio-demographic indicators. This will establish the basis for the prediction of such aspects as a function of an individual's interaction with technological devices, potentially providing new diagnostic tools.