Alejandro Catala

AGORAS: Exploring Creative Learning on Tangible User Interfaces

Departing from creative learning foundations, this paper discusses on the suitability of interactive tables as a grounding technology to support creative learning for several reasons: support for social learning, because the subjects share a physical space as in traditional non-digital technologies, communication during the creative, experimental and reflexive process is direct and not computer-mediated, and subjects can carry out the task in parallel on the same surface. Considering reflection, discussion and creation processes in a loop, an experiment with teenagers has been conducted comparing a digital-based against a pure tangible tabletop in a task of creating entities consisting of blocks and joint elements. This preliminary study, designed to obtain initial insights about whether the grounding technology may become a promising tool to support creative learning, explores some aspects such as productivity, complexity of designs and concurrent co-manipulation. The results showed that subjects were more productive in terms of the number of solutions obtained using the non computer-mediated approach. However using the digital tabletop approach subjects design, on average, more complex or elaborate solutions in terms of the number of involved bodies and joints. Finally, an important finding was that teams established more frequently concurrent cooperation schemes in the digital tabletop condition by sharing more effectively the creation space.

Assessing machine learning classifiers for the detection of animals’ behavior using depth-based tracking

There is growing interest in the automatic detection of animals’ behaviors and body postures within the field of Animal Computer Interaction, and the benefits this could bring to animal welfare, enabling remote communication, welfare assessment, detection of behavioral patterns, interactive and adaptive systems, etc. Most of the works on animals’ behavior recognition rely on wearable sensors to gather information about the animals’ postures and movements, which are then processed using machine learning techniques. However, non-wearable mechanisms such as depth-based tracking could also make use of machine learning techniques and classifiers for the automatic detection of animals’ behavior. These systems also offer the advantage of working in set-ups in which wearable devices would be difficult to use. This paper presents a depth-based tracking system for the automatic detection of animals’ postures and body parts, as well as an exhaustive evaluation on the performance of several classification algorithms based on both a supervised and a knowledge-based approach. The evaluation of the depth-based tracking system and the different classifiers shows that the system proposed is promising for advancing the research on animals’ behavior recognition within and outside the field of Animal Computer Interaction.

A diffusion-based ACO resource discovery framework for dynamic p2p networks

The Ant Colony Optimization (ACO) has been a very resourceful metaheuristic over the past decade and it has been successfully used to approximately solve many static NP-Hard problems. There is a limit, however, of its applicability in the field of p2p networks; derived from the fact that such networks have the potential to evolve constantly and at a high pace, rendering the already-established results useless. In this paper we approach the problem by proposing a generic knowledge diffusion mechanism that extends the classical ACO paradigm to better deal with the p2ps dynamic nature. Focusing initially on the appearance of new resources in the network we have shown that it is possible to increase the efficiency of ant routing by a significant margin.

Storytelling as a Creative Activity in the Classroom

In our ongoing research, we argue that storytelling activities can be used as creative tasks to stimulate creativity in children, one of the so-called 21st century skills. In this paper, we lay the foundations for our project on digitally supported storytelling, by gathering the viewpoints on storytelling and creativity expressed by local primary school teachers and reviewing methods reported in the literature. We report the main characteristics and features to consider in creative storytelling activities, and present our current work on a distributed storytelling interface for supporting childrens creative skills development that meets the practical requirements found in the literature and expressed by the teachers.

Bringing Together Interactive Digital Storytelling with Tangible Interaction : Challenges and Opportunities

This workshop aims to explore challenges and potential opportunities in bringing interactive digital storytelling into the realm of tangible and embodied interaction. To this end, experts from both fields are invited to present and discuss their ideas. Besides fostering discussion and potential collaborations, the goal is to come up with new and suitable computational storytelling models and define design guidelines/strategies.

My Tablet Is Moving Around, Can I Touch It?

Touch displays moving autonomously, i.e., being self-actuated, are starting to be part of system prototypes reported in the literature. In the future, user interactions with such prototypes may take place while the display is moving. However, since current prototypes do not yet require this type of interaction, there is a lack of empirical evidence reporting issues related to touch input in such conditions. This leads us to propose two basic questions: Can we request users to deliver touch gestures during the actuation? Which aspects should we take into account when having touch input in these moving devices? In order to start to answer these questions, we report in this paper a first study to get an insight into how people perform and feel it when they have to carry out touch input on a self-actuated tablet. The preliminary results show that the self-actuated tablet does not necessarily need to be still during touch interaction, and that single-touch gestures based on drag or tap are preferable over others. Furthermore, the results also revealed an issue with tap gestures because of the movement of the tablet.