A rich source of data that has been largely ignored in crowdsourcing is the processes that humans use to accomplish a task. If we can capture this information, we could model it for automatic processing and use it to better understand the phenomena being modeled. Using crowd collaboration to trace workers’ process produces a rich dataset that can be mined for new insights. We tested this approa...

While most traditional user interfaces are designed to pursue convenience by eliminating user operations and by automating tasks, some new categories of HCI, such as health support, may require explicit human participation and effort to achieve long-term benefits. For these areas, interfaces that require interactions that force users to perform activities, rather than interfaces that solely per...

Social sensing via mobile apps complements physical sensing (e.g., IoT) by substantially extending the horizon we know about our daily life in real time. This paper discusses how we can integrate physical and social sensing to enable better and smarter services, focusing on enriching riders’ experience of using bike sharing services in New York City. We show how we real time collect, process, a...

Spoken Language Laboratory, INESC-ID / IST Lisboa 1000-029, Portugal {paula.vaz,david.matos,nuno.mamede}@l2f.inesc-id.pt Abstract The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such as semantic relations. Relations are extracted from an annotated and manually corrected ...

The aim of the paper is to show that diierences among several agents can have positive eeects in so far as they may generate original solutions and be a basis for a global enrichment of the agents' knowledge. Philosophical foundations of cooperation and of the positive aspects of connicts are rst explained. Our contribution next consists in i) a formal model devoted to the representation of the...

The soft computing approach for gaming is different from the traditional one that exploits knowledge of the opening, middle, and endgame stages. It is aims to evolve efficiently some simple heuristics that can be created easily from the basic knowledge of the game. Integrating sphere knowledge into soft computation can enhance the performance of evolved algorithmic methodologies and quicken the...