57,546 research outputs found
The Mental Database
This article uses database, evolution and physics considerations to suggest how the mind stores and processes its data. Its innovations in its approach lie in:-
A) The comparison between the capabilities of the mind to those of a modern relational database while conserving phenomenality. The strong functional similarity of the two systems leads to the conclusion that the mind may be profitably described as being a mental database. The need for material/mental bridging and addressing indexes is discussed.
B) The consideration of what neural correlates of consciousness (NCC) between sensorimotor data and instrumented observation one can hope to obtain using current biophysics. It is deduced that what is seen using the various brain scanning methods reflects only that part of current activity transactions (e.g. visualizing) which update and interrogate the mind, but not the contents of the integrated mental database which constitutes the mind itself. This approach yields reasons why there is much neural activity in an area to which a conscious function is ascribed (e.g. the amygdala is associated with fear), yet there is no visible part of its activity which can be clearly identified as phenomenal.
The concept is then situated in a Penrosian expanded physical environment, requiring evolutionary continuity, modularity and phenomenality.Several novel Darwinian advantages arising from the approach are described
Application of serious games to sport, health and exercise
Use of interactive entertainment has been exponentially expanded since the last decade. Throughout this 10+ year evolution there has been a concern about turning entertainment properties into serious applications, a.k.a "Serious Games". In this article we present two set of Serious Game applications, an Environment Visualising game which focuses solely on applying serious games to elite Olympic sport and another set of serious games that incorporate an in house developed proprietary input system that can detect most of the human movements which focuses on applying serious games to health and exercise
LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation
We present LDAExplore, a tool to visualize topic distributions in a given
document corpus that are generated using Topic Modeling methods. Latent
Dirichlet Allocation (LDA) is one of the basic methods that is predominantly
used to generate topics. One of the problems with methods like LDA is that
users who apply them may not understand the topics that are generated. Also,
users may find it difficult to search correlated topics and correlated
documents. LDAExplore, tries to alleviate these problems by visualizing topic
and word distributions generated from the document corpus and allowing the user
to interact with them. The system is designed for users, who have minimal
knowledge of LDA or Topic Modelling methods. To evaluate our design, we run a
pilot study which uses the abstracts of 322 Information Visualization papers,
where every abstract is considered a document. The topics generated are then
explored by users. The results show that users are able to find correlated
documents and group them based on topics that are similar
Code Park: A New 3D Code Visualization Tool
We introduce Code Park, a novel tool for visualizing codebases in a 3D
game-like environment. Code Park aims to improve a programmer's understanding
of an existing codebase in a manner that is both engaging and intuitive,
appealing to novice users such as students. It achieves these goals by laying
out the codebase in a 3D park-like environment. Each class in the codebase is
represented as a 3D room-like structure. Constituent parts of the class
(variable, member functions, etc.) are laid out on the walls, resembling a
syntax-aware "wallpaper". The users can interact with the codebase using an
overview, and a first-person viewer mode. We conducted two user studies to
evaluate Code Park's usability and suitability for organizing an existing
project. Our results indicate that Code Park is easy to get familiar with and
significantly helps in code understanding compared to a traditional IDE.
Further, the users unanimously believed that Code Park was a fun tool to work
with.Comment: Accepted for publication in 2017 IEEE Working Conference on Software
Visualization (VISSOFT 2017); Supplementary video:
https://www.youtube.com/watch?v=LUiy1M9hUK
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