scholarly journals Information Retrieval Systems: A Perspective on Human Computer Interaction

10.28945/911 ◽  
2006 ◽  
Vol 3 ◽  
pp. 511-518 ◽  
Author(s):  
Panagiotis Petratos
Keyword(s):  
Information Retrieval ◽  
Human Computer Interaction ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Computer Interaction

scholarly journals Information Retrieval Systems: A Perspective on Human Computer Interaction

10.28945/3006 ◽  
2006 ◽  
Author(s):  
Panagiotis Petratos
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Human Computer Interaction ◽  
Memory Management ◽  
Systems Design ◽  
Human Element ◽  
Retrieval Systems ◽  
New Information ◽  
Information Retrieval Systems ◽  
Computer Interaction

Traditional information systems design and development methodologies tend to overly focus on the technical details of the system such as memory management, system internals, algorithms and modules. It is not unusual for system designers and developers to often completely omit from the thought process the human element. This article offers a new information systems perspective particularly for information retrieval systems with a focus on human computer interaction.

Using Information Retrieval for Interaction with Mobile Devices

2014 ◽  
pp. 286-302
Author(s):  
Kamer Ali YUKSEL
Keyword(s):  
Information Retrieval ◽  
Human Computer Interaction ◽  
Information And Communication Technologies ◽  
Academic Research ◽  
Multimedia Retrieval ◽  
Search Process ◽  
Daily Life Activities ◽  
Information Retrieval Systems ◽  
Outdoor Environments ◽  
Computer Interaction

Future's environments will be sensitive and responsive to the presence of people to support them carrying out their everyday life activities, tasks and rituals, in an easy and natural way. Such interactive spaces will use the information and communication technologies to bring the computation into the physical world in order to enhance ordinary activities of their users. Human-computer interaction (HCI) and information retrieval (IR) fields have both developed innovative techniques to address the challenge of navigating complex information spaces, but their insights have often failed to cross-disciplinary borders. Human-computer information retrieval (HCIR) has emerged in academic research and industry practice to bring together research in the fields of IR and HCI, in order to create new kinds of search systems that depend on continuous human control of the search process. HCIR is the study of information retrieval techniques that bring human intelligence into the search process. This chapter will describe search-based interaction techniques using two human-computer interaction information retrieval systems: (1) a speech-based spoken multimedia retrieval system that can be used to present relevant video-podcast (vodcast) footage in response to spontaneous speech and conversations during daily life activities, and (2) a novel shape retrieval technique that allows 3D modeling of indoor/outdoor environments using multi-view sketch input from a mobile device.

Using Information Retrieval for Interaction With Mobile Devices

2018 ◽  
pp. 2112-2131
Author(s):  
Kamer Ali Yuksel
Keyword(s):  
Information Retrieval ◽  
Human Computer Interaction ◽  
Information And Communication Technologies ◽  
Academic Research ◽  
Multimedia Retrieval ◽  
Search Process ◽  
Daily Life Activities ◽  
Information Retrieval Systems ◽  
Outdoor Environments ◽  
Computer Interaction

Future's environments will be sensitive and responsive to the presence of people to support them carrying out their everyday life activities, tasks and rituals, in an easy and natural way. Such interactive spaces will use the information and communication technologies to bring the computation into the physical world in order to enhance ordinary activities of their users. Human-computer interaction (HCI) and information retrieval (IR) fields have both developed innovative techniques to address the challenge of navigating complex information spaces, but their insights have often failed to cross-disciplinary borders. Human-computer information retrieval (HCIR) has emerged in academic research and industry practice to bring together research in the fields of IR and HCI, in order to create new kinds of search systems that depend on continuous human control of the search process. HCIR is the study of information retrieval techniques that bring human intelligence into the search process. This chapter will describe search-based interaction techniques using two human-computer interaction information retrieval systems: (1) a speech-based spoken multimedia retrieval system that can be used to present relevant video-podcast (vodcast) footage in response to spontaneous speech and conversations during daily life activities, and (2) a novel shape retrieval technique that allows 3D modeling of indoor/outdoor environments using multi-view sketch input from a mobile device.

Relevance Predictability in Information Retrieval Systems

1967 ◽  
Vol 06 (02) ◽  
pp. 45-51 ◽  
Author(s):  
A. Kent ◽  
J. Belzer ◽  
M. Kuhfeerst ◽  
E. D. Dym ◽  
D. L. Shirey ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Experimental Conditions ◽  
Treatment Groups ◽  
Retrieval Systems ◽  
Significant Difference ◽  
Information Retrieval Systems ◽  
High Predictability ◽  
Intermediate Response ◽  
Quantitative Indicators ◽  
Level Of Processing

An experiment is described which attempts to derive quantitative indicators regarding the potential relevance predictability of the intermediate stimuli used to represent documents in information retrieval systems. In effect, since the decision to peruse an entire document is often predicated upon the examination of one »level of processing« of the document (e.g., the citation and/or abstract), it became interesting to analyze the properties of what constitutes »relevance«. However, prior to such an analysis, an even more elementary step had to be made, namely, to determine what portions of a document should be examined.An evaluation of the ability of intermediate response products (IRPs), functioning as cues to the information content of full documents, to predict the relevance determination that would be subsequently made on these documents by motivated users of information retrieval systems, was made under controlled experimental conditions. The hypothesis that there might be other intermediate response products (selected extracts from the document, i.e., first paragraph, last paragraph, and the combination of first and last paragraph), that would be as representative of the full document as the traditional IRPs (citation and abstract) was tested systematically. The results showed that:1. there is no significant difference among the several IRP treatment groups on the number of cue evaluations of relevancy which match the subsequent user relevancy decision on the document;2. first and last paragraph combinations have consistently predicted relevancy to a higher degree than the other IRPs;3. abstracts were undistinguished as predictors; and4. the apparent high predictability rating for citations was not substantive.Some of these results are quite different than would be expected from previous work with unmotivated subjects.

Performance of eight information retrieval systems in the Spanish web

2005 ◽  
Vol 14 (5) ◽  
pp. 335-346
Author(s):  
Por Carlos Benito Amat ◽  
Por Carlos Benito Amat
Keyword(s):  
Information Retrieval ◽  
Retrieval Systems ◽  
Information Retrieval Systems

A Dialectical Approach to Search Engine Evaluation

Libri ◽  
2020 ◽  
Vol 70 (3) ◽  
pp. 227-237
Author(s):  
Mahdi Zeynali-Tazehkandi ◽  
Mohsen Nowkarizi
Keyword(s):  
Information Retrieval ◽  
Information Science ◽  
Library And Information Science ◽  
Related Literature ◽  
Philosophical Foundations ◽  
Dialectical Approach ◽  
Retrieval Systems ◽  
The World ◽  
Information Retrieval Systems ◽  
Oriented Approach

AbstractEvaluation of information retrieval systems is a fundamental topic in Library and Information Science. The aim of this paper is to connect the system-oriented and the user-oriented approaches to relevant philosophical schools. By reviewing the related literature, it was found that the evaluation of information retrieval systems is successful if it benefits from both system-oriented and user-oriented approaches (composite). The system-oriented approach is rooted in Parmenides’ philosophy of stability (immovable) which Plato accepts and attributes to the world of forms; the user-oriented approach is rooted in Heraclitus’ flux philosophy (motion) which Plato defers and attributes to the tangible world. Thus, using Plato’s theory is a comprehensive approach for recognizing the concept of relevance. The theoretical and philosophical foundations determine the type of research methods and techniques. Therefore, Plato’s dialectical method is an appropriate composite method for evaluating information retrieval systems.

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