We examined whether and how image’s semantics and emotion content interact during visual processing. In each trial, we briefly presented two emotional or neutral images (a scene context and an object), manipulating the semantic consistency and the emotional consistency of the pair. Participants categorised one image semantically or emotionally. Semantic categorisation was overall better than em...

This paper outlines a philosophical and psycho-physiological basis for embodied perception, and develops a framework for conceptual embodiment of vision-guided robots. We argue that categorisation is important in all stages of robot vision. Further, that classical computer vision is unsuitable for this categorisation, however, through conceptual embodiment, active perception can be effective. W...

High-precision search results are essential for supporting e-government employees’ information tasks. Prior studies have shown that existing features of e-government retrieval systems need improvement in terms of search facilities, navigation and metadata. This paper investigates how automated categorisation can enhance information organisation and retrieval and presents the results of a realis...

Early research on categorisation suggested that verbalizable and nonverbalizable category-learning are qualitatively different. Toward this end, the implementational-level model (COVIS–COmpetition between Verbal and Implicit Systems) of categorisation assumes that category-learning involves separate but parallel sub-systems. Specifically, for verbalizable tasks abstract category-labels are lear...

In four experiments we explored the effects of two variables in the pictureword interference paradigm: semantic relatedness and the level of categorisation of distractors relative to pictures’ names. Experiment 1 addressed whether the contrasting effects of semantically related distractors in categoryand basic-level naming have a methodological origin (i.e., differences in the number of respons...

An instance-based model of the effects of age of acquisition (AoA) is offered and derived predictions are considered. A face-categorisation experiment is reported which tested these predictions. Nine participants made speeded-categorisation judgements of 185 faces from two TV shows. Ratings were given for the faces’ frequency of occurrence in the shows and, for each face, the length of time the...

Hidden Web databases dynamically generate results in response to users’ queries. The categorisation of such databases into a category scheme has been widely employed in information searches. We present a Concept-based Categorisation over Refined Sampled Documents (CCReSD) approach that effectively handles information extraction, summarisation and categorisation of such databases. CCReSD detects...