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.

Collaborative Business and Information Systems Design

2009 ◽  
Vol 5 (4) ◽  
pp. 1-15 ◽  
Author(s):  
Peter Rittgen
Keyword(s):  
Information Systems ◽  
Human Computer Interaction ◽  
Systems Design ◽  
Human Interaction ◽  
Information Systems Design ◽  
Research Areas ◽  
Technical Systems ◽  
Computer Interaction

Collaborative business and information systems design touches a number of issues that lie within the realm of different research areas. It deals with design as such, and in particular with design in and for groups. It is also concerned with socio-technical systems and hence with human-computer interaction as well as IT-mediated human-human interaction. This introduces collaboration issues. The significant complexity of the business and information systems that are in the focus of the design endeavor calls for modeling as an instrument for managing this complexity. This article maps the terrain of collaborative business and information systems design by surveying the contributions that are made by related areas of research.

Relevant Intra-Actions in Networked Environments

2011 ◽  
pp. 230-251 ◽  
Author(s):  
Theresa Dirndorfer Anderson
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Conceptual Framework ◽  
Case Studies ◽  
Theoretical Framework ◽  
Design Development ◽  
Retrieval Systems ◽  
Relevance Judgments ◽  
Information Retrieval Systems ◽  
Collaborative Information Retrieval

This chapter uses a study of human assessments of relevance to demonstrate how individual relevance judgments and retrieval practices embody collaborative elements that contribute to the overall progress of that person’s individual work. After discussing key themes of the conceptual framework, the chapter will discuss two case studies that serve as powerful illustrations of these themes for researchers and practitioners alike. These case studies, outcomes of a two-year ethnographic exploration of research practices, illustrate the theoretical position presented in part one of the chapter, providing lessons for the ways that people work with information systems to generate knowledge and the conditions that will support these practices. The chapter shows that collaboration does not have to be explicit to influence searcher behavior. It seeks to present both a theoretical framework and case studies that can be applied to the design, development and evaluation of collaborative information retrieval systems.

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.

Evaluating the effectiveness of thesauri in digital information retrieval systems

2018 ◽  
Vol 36 (1) ◽  
pp. 55-70 ◽  
Author(s):  
Sanjeev K. Sunny ◽  
Mallikarjun Angadi
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Data Collection ◽  
Literature Review ◽  
Evaluation Studies ◽  
Digital Information ◽  
Content Type ◽  
Evaluation Measures ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Purpose The purpose of this study is to carry out a systematic literature review for evidence-based assessment of the effectiveness of thesaurus in digital information retrieval systems. It also aimed to identify the evaluation methods, evaluation measures and data collection tools which may be used in evaluating digital information retrieval systems. Design/methodology/approach A systematic literature review (SLR) of 344 publications from LISA and 238 from Scopus has been carried out to identify the evaluation studies for analysis, and 15 evaluation studies have been analyzed. Findings This study presents evidences for the effectiveness of thesaurus in digital information retrieval systems. Various methods for evaluating digital information systems have been identified. Also, a wide range of evaluation measures and data collection tools have been identified. Research limitations/implications The study was limited to the literature published in English language and indexed in LISA and Scopus. The evaluation methods, evaluation measures and data collection tools identified in this study may be used to design more cognizant evaluation studies for digital information retrieval systems. Practical implications The findings have significant implications for the administrators of any type of digital information retrieval systems in making more informed decisions toward implementation of thesaurus in resource description and access to digital collections. Originality/value This study extends our knowledge on the potentials of thesauri in digital information retrieval systems. It also provides cues for designing more cognizant evaluation studies for digital information systems.

Collaborative Business and Information Systems Design

2010 ◽  
pp. 1397-1411 ◽  
Author(s):  
Peter Rittgen
Keyword(s):  
Information Systems ◽  
Human Computer Interaction ◽  
Systems Design ◽  
Human Interaction ◽  
Information Systems Design ◽  
Research Areas ◽  
Technical Systems ◽  
Computer Interaction

Collaborative business and information systems design touches a number of issues that lie within the realm of different research areas. It deals with design as such, and in particular with design in and for groups. It is also concerned with socio-technical systems and hence with human-computer interaction as well as IT-mediated human-human interaction. This introduces collaboration issues. The significant complexity of the business and information systems that are in the focus of the design endeavor calls for modeling as an instrument for managing this complexity. This article maps the terrain of collaborative business and information systems design by surveying the contributions that are made by related areas of research.

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