ABSTRACT Colour naming consists of successfully finding the correspondence between colours as nam... more ABSTRACT Colour naming consists of successfully finding the correspondence between colours as named by humans and the colour coordinates used by machine displays. Its successful implementation is crucial for human-machine interaction tasks, e.g. for the communication between service robots and humans. However, significant variability among human groups makes a general solution to this problem notoriously difficult.
ABSTRACT Qualitative image descriptors are combined with domain knowledge (object feature detecto... more ABSTRACT Qualitative image descriptors are combined with domain knowledge (object feature detectors and qualitative definitions) for generating narratives which provide cognitive interpretations of images in a specific domain. This approach is tested and analysed in two study cases: (i) a robot navigating through the corridors of the TI building at Universitat Jaume I (Spain) and (ii) a ambient intelligent system incorporated at Cartesium building at Universitat Bremen (Germany).
ABSTRACT An approach for a query-by-sketch system on qualitative shape information for image retr... more ABSTRACT An approach for a query-by-sketch system on qualitative shape information for image retrieval in databases is proposed and evaluated. The use of qualitative methods for shape description allows the gathering of semantic information from the sketches. The qualitative description and recognition of sketches are evaluated in order to verify that it is possible to use the proposed qualitative method for the development of a learning application for children.
ABSTRACT In this paper, qualitative descriptors of shape, color, topology and location are applie... more ABSTRACT In this paper, qualitative descriptors of shape, color, topology and location are applied to describe images of real scenes. Then, an approach for obtaining a similarity measure between two qualitative image descriptions (SimQID) is presented. As a proof-of-concept, this approach is tested on real digital images taken by a robot camera at the corridors of TI building at Universitat Jaume I. The results obtained are analyzed and a discussion is provided.
ABSTRACT Colour naming consists of successfully finding the correspondence between colours as nam... more ABSTRACT Colour naming consists of successfully finding the correspondence between colours as named by humans and the colour coordinates used by machine displays. Its successful implementation is crucial for human-machine interaction tasks, e.g. for the communication between service robots and humans. However, significant variability among human groups makes a general solution to this problem notoriously difficult.
ABSTRACT Qualitative image descriptors are combined with domain knowledge (object feature detecto... more ABSTRACT Qualitative image descriptors are combined with domain knowledge (object feature detectors and qualitative definitions) for generating narratives which provide cognitive interpretations of images in a specific domain. This approach is tested and analysed in two study cases: (i) a robot navigating through the corridors of the TI building at Universitat Jaume I (Spain) and (ii) a ambient intelligent system incorporated at Cartesium building at Universitat Bremen (Germany).
ABSTRACT An approach for a query-by-sketch system on qualitative shape information for image retr... more ABSTRACT An approach for a query-by-sketch system on qualitative shape information for image retrieval in databases is proposed and evaluated. The use of qualitative methods for shape description allows the gathering of semantic information from the sketches. The qualitative description and recognition of sketches are evaluated in order to verify that it is possible to use the proposed qualitative method for the development of a learning application for children.
ABSTRACT In this paper, qualitative descriptors of shape, color, topology and location are applie... more ABSTRACT In this paper, qualitative descriptors of shape, color, topology and location are applied to describe images of real scenes. Then, an approach for obtaining a similarity measure between two qualitative image descriptions (SimQID) is presented. As a proof-of-concept, this approach is tested on real digital images taken by a robot camera at the corridors of TI building at Universitat Jaume I. The results obtained are analyzed and a discussion is provided.
Spatial problems and a variety of abstract problems can be solved by humans with more ease if the... more Spatial problems and a variety of abstract problems can be solved by humans with more ease if the problem can be visualized and/or manipulated. Elaborating on the differences and interplay between representing spatial problems and solving them, this paper focuses on exploring the qualities of a strings and pins problem solving domain. This domain is compared to the straightedge and compass domain of Euclidean geometry. The strings and pins domain is described and two case studies are analyzed: (i) a strings and pins solution of the shortest path problem and (ii) a strings and pins solution to the Voronoi diagram problem; both approaches are compared to a formal solution. Differences and similarities between the straightedge and compass domain and the strings and pins domain are analyzed, and features and limitations of constructive and depictive geometry are discussed. Different problem solving phases are distinguished. Furthermore, cognitive aspects of different problem solving approaches are discussed.
Towards a Remote Associate Test Solver based on Language Data. In Proceedings of the Catalan Conference of Artificial Intelligence, Frontiers in Artificial Intelligence and Applications, IOS Press., 2014
The Remote Associate Test (RAT) has been used for measuring creativity in humans. In this paper, ... more The Remote Associate Test (RAT) has been used for measuring creativity in humans. In this paper, the initial parts of a creative cognitive problem-solving framework are implemented to solve the RAT automatically using a knowledge base of language data
extracted from the Corpus of Contemporary American English. The results provided by the computational RAT are compared to those obtained in previous RATs carried out on human
participants in order to hypothesize on an associationist creative cognition paradigm.
In creative problem solving, humans perform object replacement and object composition to improvis... more In creative problem solving, humans perform object replacement and object composition to improvise tools in order to carry out tasks in everyday situations. In this paper, an approach to perform Object Replacement and Object Composition (OROC) inside a Creative Cognitive framework (CreaCogs) is proposed. Multi-feature correspondence is used to define similarity between objects in an everyday object domain. This enables the cognitive system OROC to perform creative replacement of objects and creative object composition. The generative properties of OROC are analysed and proof-of-concept experiments with OROC are reported. An evaluation of the results is carried out by human judges and compared to human performance in the Alternative Uses Test.
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Papers by Zoe Falomir
extracted from the Corpus of Contemporary American English. The results provided by the computational RAT are compared to those obtained in previous RATs carried out on human
participants in order to hypothesize on an associationist creative cognition paradigm.