scholarly journals Informing through User-Centered Exploratory Search and Human-Computer Interaction Strategies

10.28945/3282 ◽  
2008 ◽  
Author(s):  
Panagiotis Petratos

In this article the subject of Informing through user-centered Exploratory Search and Information Retrieval utilizing human-computer interaction strategies is analyzed. Exploratory Search is a new field that has sprung from the more general Information Retrieval. Informing Science is a trans-discipline which transcends a large variety of fields and seeks how to best inform all the clients of interest. One facet of Informing Science, the process of elucidating the best methods of informing inquiring clientele, is served by user-centered Exploratory Search and human-computer interaction strategies. This work explains a human factors method which allows the comparison of the performance of multiple IR systems and can enhance the comparative topic focused IR search quality. This human factors method also allows the human participants to provide their IR explicit feedback and record these judgments as a gold standard for future comparison. This human factors method is tested by established statistical analysis and allows the statistical comparison of the IR performance of a selection of IR systems. This work also demonstrates the results of this human factors method after testing it upon three leading IR systems, Google, Yahoo and Live Search.

Author(s):  
Ronald Laurids Boring

Human-computer interaction and cognitive science share historical interdisciplinary roots in human factors, but the two fields have largely diverged. Many attempts have been made to apply cognitive science to human-computer interaction, but the reverse is curiously not the case. This paper outlines ways in which human-computer interaction can serve as a unifying framework for cognitive science.


Author(s):  
Kamer Ali YUKSEL

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.


1988 ◽  
Vol 101 (1) ◽  
pp. 148 ◽  
Author(s):  
Nancy S. Anderson ◽  
Donald A. Norman ◽  
Stephen W. Draper

2021 ◽  
Vol 12 (1) ◽  
pp. 1-20
Author(s):  
Franklin M. da C. Lima ◽  
Gabriel A. M. Vasiljevic ◽  
Leonardo Cunha De Miranda ◽  
M. Cecília C. Baranauskas

Analyzing how the conferences of a given research field are evolving contributes to the academic community in that the researchers can better situate their research towards the advancement of knowledge in their area of expertise. Thus, in this work we present the results of a correlation analysis performed within and between-conferences of the field of Human-Computer Interaction, using data from the conference on Human-Computer Interaction International (HCII) and from the Brazilian Symposium on Human Factors in Computing Systems (IHC). More than 209 thousand words from the titles of over 18 thousand publications from both conferences were analyzed in total, using different quantitative, qualitative and visualization methods, including statistical tests. The analysis of words from the tiles of publications from both conferences and the comparison of the ranking of these words indicate, amongst other results, that there is a significant difference in relation to the main and most covered topics for each one of these conferences. 


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