scholarly journals CLASSY: A Conversational Aware Suggestion System

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 40 ◽  
Author(s):  
Diogo Ferreira ◽  
Mário Antunes ◽  
Diogo Gomes ◽  
Rui L. Aguiar
Keyword(s):  
Retrieval System ◽  
Information Retrieval System ◽  
Human Interaction ◽  
Proximity Data ◽  
Pervasive Systems ◽  
Surrounding Environment ◽  
Pervasive System ◽  
The Relationship ◽  
Interesting Development ◽  
New Scoring

Over the last few years, pervasive systems have seen some interesting development. Nevertheless, human–human interaction can also take advantage of those systems by using their ability to perceive the surrounding environment. In this work, we have developed a pervasive system – named CLASSY – that is aware of the conversational context and suggests documents potentially useful to the users based on an Information Retrieval system, and proposed a new scoring approach that uses semantics and distance based on proximity data in order to classify the relationship between tokens.

Theory and explanation in information retrieval research

1984 ◽  
Vol 8 (1) ◽  
pp. 25-38 ◽  
Author(s):  
David Ellis
Keyword(s):  
Information Retrieval ◽  
Information Sources ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Research Needs ◽  
Test Results ◽  
Experimental Science ◽  
Systemic Factors ◽  
Frame Work ◽  
The Relationship

The relationship between theory and explanation in informa tion retrieval research is analysed. Problems in the development of a generalisable information retrieval theory from informa tion retrieval experiment and the associated mathematical mod elling is examined. The source of these problems is traced back to assumptions underlying information retrieval research, and to the nature of the relationship between the theoretical frame work of information retrieval research and the nature of the problems on which this framework is brought to bear. Particu lar attention is directed to problems in measurement, in estab lishing a significant relationship between test results and results from operational evaluations, and in establishing a connection between the situational and behavioural assumptions employed in information retrieval research and real situations and be haviour. The attempt to develop information retrieval research as an experimental science akin to natural science or engineering, around the notion of the quantification of relevance is miscon ceived. In order for information retrieval research to break out of the limitations of its present theoretical framework, and of the backwater to which that framework has led, a reorientation is required. The argument of this paper is that information retrieval research needs to be reoriented from a focus on the information retrieval system and on supposed 'systemic' factors to an orientation to the user and the user's interaction with information sources.

Checkup Interval and Cancers in Automated Multiphasic Health Testing and Services

1993 ◽  
Vol 32 (03) ◽  
pp. 192-194
Author(s):  
T. Takahashi ◽  
H. Uemura ◽  
T. Noto ◽  
T. Shinozuka ◽  
H. Kinoshita ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Information Retrieval System ◽  
The Other ◽  
Cancer Rate ◽  
One Year ◽  
The Relationship

Abstract:The purpose of this study was to disclose which types of cancer and how many persons with cancer were detected among the AMHTS examinees of our AMHTS center by using the hospital information retrieval system, and to study the relationship between cancer and the number of examinees, checkup intervals, and frequency in AMHTS. The examinees who had checkups more than twice were divided into three groups based on their checkup intervals: within one year, one to two years, and over two years. The relationship between cancer ratios and checkup intervals was evaluated in each group of examinees. In those having checkups within one year and from one to two years the cancer rate was 2.9 patients per 1,000 persons. However, in those having checkups after a two-year period or longer, the cancer rate was 4.3, clearly greater than the rate of the other two groups.

The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp
Keyword(s):  
Mental States ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Artificial Agents ◽  
The Novel ◽  
Robot Interaction ◽  
Novel Coronavirus ◽  
Relationship Of ◽  
The Relationship

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.

Automated Airdrop Information Retrieval System-Human Fact ors Database (AAIRS-HFD) (Users Manual)

1994 ◽  
Author(s):  
Paula M. Poole ◽  
Marcie S. Kronberg ◽  
Debra Meyers
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Information Retrieval System
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