An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction

Leila Jabbari; Hassan Mantegh; Mila Malekolkalami

doi:doi:10.11648/j.ajist.20210503.14

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An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction

Leila Jabbari, Hassan Mantegh, Mila Malekolkalami

Published in American Journal of Information Science and Technology (Volume 5, Issue 3)

Received: 18 February 2021 Accepted: 30 August 2021 Published: 10 September 2021

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Abstract

Nowadays the field of information retrieval is quickly developing. Research on the human-computer interactions and designing of the interface is likely to lead to better results and greater empowerment for users and creators of information. One of the main and special issues related to the relationship between humans and computers in information storage and retrieval systems is the problem of accurate and correct information retrieval based on the user's information needs, due to there are still many false drops in the user's retrievals, although have the many advances come in this field. On the other hand, the human-computer interface environment is not well understood, compared to other forms of information retrieval, due to the complexity of human perception and detection compared to computer systems and the more difficult the detection and measurement of human motives and behaviors. In this paper, after reviewing the information storage and retrieval systems and their various evaluation metrics, the issue of the false drop and its effect on the human-machine interactions is discussed and finally, some solutions are presented. The principles of user interface design, providing informative feedback, reducing working memory load, providing alternative interface environments for novice and skilled users and visualizing information are among the proposed solutions of the present study.

Published in	American Journal of Information Science and Technology (Volume 5, Issue 3)
DOI	10.11648/j.ajist.20210503.14
Page(s)	80-85
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Information Retrieval, Human-Machine Interaction, False Drop, Information Needs

References

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[5]	Wang, Y. D. & Forgionne, G. (2006). A Decision – theoretic Approach to the evaluation of information Retrieval Systems. Information processing & management, 42, 863- 874.
[6]	Kent, A., Berry, M., Leuhrs, F. U., and Perry, J. W. (1955). Machine literature searching VIII. Operational criteria for designing information retrieval systems.
[7]	Biza-Yates, Ricardo; Ribro-Neto, Bertie (2006). New realms in information retrieval. Translated by Ali Hossein Ghasemi. Tehran: Chapar.
[8]	Pao, Miranda Lee (2000). Information retrieval concepts. Translated by Assadollah Azad and Rahmatollah Fattahi, Mashhad, Ferdowsi University Press, Printing and Publishing Institute.
[9]	Schutze, H. 2013. Introduction to Information Retrieval: Relevance Feedback and Quarry Extention. http://www.cis.uni-muenchen.de/~hs/teach/13s/ir/pdf/09expand.pdf (accessed Aug. 21, 2013).
[10]	Hariri, Najla, Bab al-Hawaiji, Fahima; Farzandipour, Mehrdad and Somayeh Naderi (2014). Relevance evaluation criteria in information retrieval systems: Knowledge and Unknowledge. Journal of Information Processing and Management. 30 (1): 199-221.
[11]	Yousefi, Ahmad (1997). False drop in data storage and retrieval. Notices. 13 (1).
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[13]	Hartley, J. et al (1996). Obtaining information accurately and quickly: are structured abstracts more efficient? Journal of information science, 22, 349-356.
[14]	Rosson, Mary Beth; Carroll, John M.; Bellamy, K. E. (1990). Smalltalk Scaffolding: A Case study of minimalist instruction. In proc. Of the ACM Conference on human Factors in Computing Systems, p. 423- 429.
[15]	Keller, P. R.; Keller, M. M. (1993). Visual Cues: Practical Data Visualization. IEEE Computer Society Press.

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APA Style

Leila Jabbari, Hassan Mantegh, Mila Malekolkalami. (2021). An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction. American Journal of Information Science and Technology, 5(3), 80-85. https://doi.org/10.11648/j.ajist.20210503.14

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ACS Style

Leila Jabbari; Hassan Mantegh; Mila Malekolkalami. An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction. Am. J. Inf. Sci. Technol. 2021, 5(3), 80-85. doi: 10.11648/j.ajist.20210503.14

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AMA Style

Leila Jabbari, Hassan Mantegh, Mila Malekolkalami. An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction. Am J Inf Sci Technol. 2021;5(3):80-85. doi: 10.11648/j.ajist.20210503.14

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@article{10.11648/j.ajist.20210503.14,
  author = {Leila Jabbari and Hassan Mantegh and Mila Malekolkalami},
  title = {An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction},
  journal = {American Journal of Information Science and Technology},
  volume = {5},
  number = {3},
  pages = {80-85},
  doi = {10.11648/j.ajist.20210503.14},
  url = {https://doi.org/10.11648/j.ajist.20210503.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20210503.14},
  abstract = {Nowadays the field of information retrieval is quickly developing. Research on the human-computer interactions and designing of the interface is likely to lead to better results and greater empowerment for users and creators of information. One of the main and special issues related to the relationship between humans and computers in information storage and retrieval systems is the problem of accurate and correct information retrieval based on the user's information needs, due to there are still many false drops in the user's retrievals, although have the many advances come in this field. On the other hand, the human-computer interface environment is not well understood, compared to other forms of information retrieval, due to the complexity of human perception and detection compared to computer systems and the more difficult the detection and measurement of human motives and behaviors. In this paper, after reviewing the information storage and retrieval systems and their various evaluation metrics, the issue of the false drop and its effect on the human-machine interactions is discussed and finally, some solutions are presented. The principles of user interface design, providing informative feedback, reducing working memory load, providing alternative interface environments for novice and skilled users and visualizing information are among the proposed solutions of the present study.},
 year = {2021}
}

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TY  - JOUR
T1  - An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction
AU  - Leila Jabbari
AU  - Hassan Mantegh
AU  - Mila Malekolkalami
Y1  - 2021/09/10
PY  - 2021
N1  - https://doi.org/10.11648/j.ajist.20210503.14
DO  - 10.11648/j.ajist.20210503.14
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 80
EP  - 85
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20210503.14
AB  - Nowadays the field of information retrieval is quickly developing. Research on the human-computer interactions and designing of the interface is likely to lead to better results and greater empowerment for users and creators of information. One of the main and special issues related to the relationship between humans and computers in information storage and retrieval systems is the problem of accurate and correct information retrieval based on the user's information needs, due to there are still many false drops in the user's retrievals, although have the many advances come in this field. On the other hand, the human-computer interface environment is not well understood, compared to other forms of information retrieval, due to the complexity of human perception and detection compared to computer systems and the more difficult the detection and measurement of human motives and behaviors. In this paper, after reviewing the information storage and retrieval systems and their various evaluation metrics, the issue of the false drop and its effect on the human-machine interactions is discussed and finally, some solutions are presented. The principles of user interface design, providing informative feedback, reducing working memory load, providing alternative interface environments for novice and skilled users and visualizing information are among the proposed solutions of the present study.
VL  - 5
IS  - 3
ER  -

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Author Information

Leila Jabbari

Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
Hassan Mantegh

Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
Mila Malekolkalami

Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran

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Plain Text BibTeX RIS

APA Style

Leila Jabbari, Hassan Mantegh, Mila Malekolkalami. (2021). An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction. American Journal of Information Science and Technology, 5(3), 80-85. https://doi.org/10.11648/j.ajist.20210503.14

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ACS Style

Leila Jabbari; Hassan Mantegh; Mila Malekolkalami. An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction. Am. J. Inf. Sci. Technol. 2021, 5(3), 80-85. doi: 10.11648/j.ajist.20210503.14

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AMA Style

Leila Jabbari, Hassan Mantegh, Mila Malekolkalami. An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction. Am J Inf Sci Technol. 2021;5(3):80-85. doi: 10.11648/j.ajist.20210503.14

Copy | Download

@article{10.11648/j.ajist.20210503.14,
  author = {Leila Jabbari and Hassan Mantegh and Mila Malekolkalami},
  title = {An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction},
  journal = {American Journal of Information Science and Technology},
  volume = {5},
  number = {3},
  pages = {80-85},
  doi = {10.11648/j.ajist.20210503.14},
  url = {https://doi.org/10.11648/j.ajist.20210503.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20210503.14},
  abstract = {Nowadays the field of information retrieval is quickly developing. Research on the human-computer interactions and designing of the interface is likely to lead to better results and greater empowerment for users and creators of information. One of the main and special issues related to the relationship between humans and computers in information storage and retrieval systems is the problem of accurate and correct information retrieval based on the user's information needs, due to there are still many false drops in the user's retrievals, although have the many advances come in this field. On the other hand, the human-computer interface environment is not well understood, compared to other forms of information retrieval, due to the complexity of human perception and detection compared to computer systems and the more difficult the detection and measurement of human motives and behaviors. In this paper, after reviewing the information storage and retrieval systems and their various evaluation metrics, the issue of the false drop and its effect on the human-machine interactions is discussed and finally, some solutions are presented. The principles of user interface design, providing informative feedback, reducing working memory load, providing alternative interface environments for novice and skilled users and visualizing information are among the proposed solutions of the present study.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction
AU  - Leila Jabbari
AU  - Hassan Mantegh
AU  - Mila Malekolkalami
Y1  - 2021/09/10
PY  - 2021
N1  - https://doi.org/10.11648/j.ajist.20210503.14
DO  - 10.11648/j.ajist.20210503.14
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 80
EP  - 85
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20210503.14
AB  - Nowadays the field of information retrieval is quickly developing. Research on the human-computer interactions and designing of the interface is likely to lead to better results and greater empowerment for users and creators of information. One of the main and special issues related to the relationship between humans and computers in information storage and retrieval systems is the problem of accurate and correct information retrieval based on the user's information needs, due to there are still many false drops in the user's retrievals, although have the many advances come in this field. On the other hand, the human-computer interface environment is not well understood, compared to other forms of information retrieval, due to the complexity of human perception and detection compared to computer systems and the more difficult the detection and measurement of human motives and behaviors. In this paper, after reviewing the information storage and retrieval systems and their various evaluation metrics, the issue of the false drop and its effect on the human-machine interactions is discussed and finally, some solutions are presented. The principles of user interface design, providing informative feedback, reducing working memory load, providing alternative interface environments for novice and skilled users and visualizing information are among the proposed solutions of the present study.
VL  - 5
IS  - 3
ER  -

Copy | Download