2016
Authors
Novais, P; Carneiro, D;
Publication
PROGRESS IN ARTIFICIAL INTELLIGENCE
Abstract
There is currently a significant interest in consumer electronics in applications and devices that monitor and improve the user's well-being. This is one of the key aspects in the development of ambient intelligence systems. Nonetheless, existing approaches are generally based on physiological sensors, which are intrusive and cannot be realistically used, especially in ambient intelligence in which the transparency, pervasiveness and sensitivity are paramount. We put forward a new approach to the problem in which user behavioral cues are used as an input to assess inner state. This innovative approach has been validated by research in the last years and has characteristics that may enable the development of true unobtrusive, pervasive and sensitive ambient intelligent systems.
2016
Authors
Carneiro, D; Durães, D; Bajo, J; Novais, P;
Publication
Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), Murcia, Spain, November 24-25, 2016.
Abstract
Attention-to-task is one of the most important Human cognitive abilities, allowing an individual to selectively focus on a specific issue (among many possible sources) and effectively carry out a task. Without this ability to focus, the individual would constantly switch between stimuli, hardly concluding any task. While attention can be influenced by many internal and external factors, the purpose of this paper is not to analyse them but rather to propose an approach to monitor the attentional behaviour of computer users. The proposed approach may improve the individual's self-awareness as well as the team manager's knowledge about the state of the workforce. It may thus improve the definition of better attention-management strategies, with expected improvements in variables such as on-task behaviour, productivity or work quality.
2016
Authors
Durães, D; Carneiro, D; Bajo, J; Novais, P;
Publication
Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection, 14th International Conference, PAAMS 2016, Sevilla, Spain, June 1-3, 2016, Special Sessions.
Abstract
2016
Authors
Durães, D; Gonçalves, S; Carneiro, D; Bajo, J; Novais, P;
Publication
Intelligent Systems Design and Applications - 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016
Abstract
2016
Authors
Durães, D; Carneiro, D; Bajo, J; Novais, P;
Publication
Intelligent Environments 2016 - Workshop Proceedings of the 12th International Conference on Intelligent Environments, IE 2016, London, United Kingdom, September 14-16, 2016.
Abstract
The collection, storage, management, and anticipation of contextual
information about the user to support decision-making constitute some of the key
operations in most Ambient Intelligent (AmI) systems. When the instructor has a
computer-based class it is often difficult to confirm if the students are working in
the proposed activities. In order to mitigate problems that might occur in an
environment with learning technologies we suggest an AmI system aimed at
capturing, measuring, and supervising the students’ level of attentiveness in real
scenarios and dynamically provide recommendations to the instructor. With this
system it is possible to assess both individual and group attention, in real-time,
providing a measure of the level of engagement of each student in the proposed
activities and allowing the instructor to better steer teaching methodologies.
2016
Authors
CARNEIRO, D; ARAÚJO, D; PIMENTA, A; NOVAIS, P;
Publication
ADCAIJ: ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL
Abstract
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