Search results for "Presentation"
showing 10 items of 2405 documents
A Semantic Layer on Semi-structured Data Sources for Intuitive Chatbots
2009
The main limits of chatbot technology are related to the building of their knowledge representation and to their rigid information retrieval and dialogue capabilities, usually based on simple "pattern matching rules". The analysis of distributional properties of words in a texts corpus allows the creation of semantic spaces where represent and compare natural language elements. This space can be interpreted as a "conceptual" space where the axes represent the latent primitive concepts of the analyzed corpus. The presented work aims at exploiting the properties of a data-driven semantic/conceptual space built using semi-structured data sources freely available on the web, like Wikipedia. Thi…
Enriching Didactic Similarity Measures of Concept Maps by a Deep Learning Based Approach
2021
Concept maps are significant tools able to support several tasks in the educational area such as curriculum design, knowledge organization and modeling, students' assessment and many others. They are also successfully used in learning activities in which students have to represent domain knowledge according to teacher's assignment. In this context, the development of Learning Analytics approaches would benefit of methods that automatically compare concept maps. Detecting concept maps similarities is relevant to identify how the same concepts are used in different knowledge representations. Algorithms for comparing graphs have been extensively studied in the literature, but they do not appea…
FrameNet CNL: A Knowledge Representation and Information Extraction Language
2014
The paper presents a FrameNet-based information extraction and knowledge representation framework, called FrameNet-CNL. The framework is used on natural language documents and represents the extracted knowledge in a tailor-made Frame-ontology from which unambiguous FrameNet-CNL paraphrase text can be generated automatically in multiple languages. This approach brings together the fields of information extraction and CNL, because a source text can be considered belonging to FrameNet-CNL, if information extraction parser produces the correct knowledge representation as a result. We describe a state-of-the-art information extraction parser used by a national news agency and speculate that Fram…
Comprehension effects of signalling relationships between documents in search engines
2010
A key task for students learning about a complex topic from multiple documents on the web is to establish the existing rhetorical relations between the documents. Traditional search engines such as Google(R) display the search results in a listed format, without signalling any relationship between the documents retrieved. New search engines such as Kartoo(R) go a step further, displaying the results as a constellation of documents, in which the existing relations between pages are made explicit. This presentation format is based on previous studies of single-text comprehension, which demonstrate that providing a graphical overview of the text contents and their relation boosts readers' comp…
Learning high-level manipulative tasks through imitation
2006
This paper presents ConSCIS, Conceptual Space based Cognitive Imitation System, which tightly links low-level data processing with knowledge representation in the context of robot imitation. Our focus is on the program-level imitation: we are interested in the final effects of actions on objects, and not on the particular kinematic or dynamic properties of the motion. The same architecture is used both to analyze and represent the task to be imitated, and to perform the imitation by generalizing in novel and different circumstances. The implemented experimental scenario is a two dimensional world populated with various objects in which observation/imitation takes place. To validate our appr…
2020
Whether and to what extent mass media contribute to the acquisition of knowledge depends fundamentally on the senses addressed by a particular medium. However, there is a lack of current research investigating the effectiveness and efficiency of (new) media, like scrollytelling and explainer videos, at conveying information, compared to established formats like text and audio. To fill this research gap, I conducted an experimental online survey (N = 381) with medium as the independent variable (explainer text vs. audio vs. video vs. scrollytelling) and the recall of information as the dependent variable. The subjects were presented with a popular scientific presentation on the environmental…
Embodied responses to musical experience detected by human bio-feedback brain features in a geminoid augmented architecture
2018
Abstract This paper presents the conceptual framework for a study of musical experience and the associated architecture centred on Human-Humanoid Interaction (HHI). On the grounds of the theoretical and experimental literature on the biological foundation of music, the grammar of music perception and the perception and feeling of emotions in music hearing, we argue that music cognition is specific and that it is realized by a cognitive capacity for music that consists of conceptual and affective constituents. We discuss the relationship between such constituents that enables understanding, that is extracting meaning from music at the different levels of the organization of sounds that are f…
Pseudo-haptic Controls for Mid-air Finger-based Menu Interaction
2019
Virtual Reality (VR) is more accessible than ever these days. While topics like performance, motion sickness and presence are well investigated, basic topics as VR User Interfaces (UIs) for menu control are lagging far behind. A major issue is the absence of haptic feedback and naturalness, especially when considering mid-air finger-based interaction in VR, when "grabbable" controllers are not available. In this work, we present and compare the following two visual approaches to mid-air finger-based menu control in VR environments: a planar UI similar to common 2D desktop UIs, and a pseudo-haptic UI based on physical metaphors. The results show that the pseudo-haptic UI performs better in t…
The human-computer connection: An overview of brain-computer interfaces
2018
This article introduces the field of brain-computer interfaces (BCI), which allows the control of devices without the generation of any active motor output but directly from the decoding of the user’s brain signals. Here we review the current state of the art in the BCI field, discussing the main components of such an interface and illustrating ongoing research questions and prototypes for controlling a large variety of devices, from virtual keyboards for communication to robotics systems to replace lost motor functions and even clinical interventions for motor rehabilitation after a stroke. The article concludes with some insights into the future of BCI.
Crowdboard: Augmenting in-person idea generation with real-time crowds
2017
Online crowds can help infuse creativity into the design process, but traditional strategies for leveraging them, such as large-scale ideation platforms, require time and organizational effort in order to obtain results. We propose a new method for crowd-based ideation that simplifies the process by having smaller crowds join in-person ideators during synchronous creative sessions. Our system Crowdboard allows online crowds to provide real-time creative input during early-stage design activities, such as brainstorming or concept mapping. The system enables in-person ideators to develop ideas on a physical or digital whiteboard which is augmented with real-time creative input from online par…