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An Introduction to Hybrid Human-Machine Information Systems

Gianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, Michele Catasta
2017 Foundations and Trends® in Web Science  
An Introduction to Hybrid Human-Machine Information Systems. Foundations and Trends R in Web Science, vol. 7, no. 1, pp. 1-87, 2016 . DOI: 10.1561/1800000025.  ...  hybrid human-machine information systems.  ... 
doi:10.1561/1800000025 fatcat:e5rgggvmjnh43fnm54ublpkcdm

A System to Understand Human-Machine Function Allocation Issues in Visual Inspection

X. Jiang, J. Bingham, R. Master, A. K. Gramopadhye, B. J. Melloy
2000 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
computer and the role of the human is that of a supervisor, and (3) hybrid inspection mode -where inspection functions can he allocated to the human, the machine or both.  ...  In response to this need, this paper describes a system that will Sacilitnte the conducting of controlled studies to address issues related to human machine system design and function allocation in visual  ...  One challenge in designing such an inspection system is determining how hest to allocate functions between humans and machines in this hybrid inspection system.  ... 
doi:10.1177/154193120004401213 fatcat:2h3tkk4jhzcifm3b5hwj4s6som

SAGE: A Hybrid Geopolitical Event Forecasting System

Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andres Abeliuk, Mehrnoosh Mirtaheri, KSM Tozammel Hossain, Pedro Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennet (+11 others)
2019 Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence  
Recent efforts have shown that forecasts can be further improved by "hybridizing" human forecasters: pairing them with the machine models in an effort to combine the unique advantages of both.  ...  In this demonstration, we present Synergistic Anticipation of Geopolitical Events (SAGE), a platform for human/computer interaction that facilitates human reasoning with machine models.  ...  A more ambitious approach is to create hybridized forecasting systems. A hybridized forecasting platform contains not only human input, but also that from machine models.  ... 
doi:10.24963/ijcai.2019/955 dblp:conf/ijcai/MorstatterGSBAM19 fatcat:n7n4je3uj5debjplvqo5xu22h4

A Brief Taxonomy of Hybrid Intelligence

Niccolo Pescetelli
2021 Forecasting  
These algorithms promise to increase hybrid system's resilience across a wide range of human errors and biases thanks to greater human-machine understanding.  ...  The second axis of variation represents increasingly sophisticated algorithms that can take into account more aspects of the forecasting system, from information to task to human problem-solvers.  ...  Hybrid human-machine systems in forecasting and decision-making can be built to amplify human intelligence, from individual users to networks of problemsolvers.  ... 
doi:10.3390/forecast3030039 fatcat:23vfb4p7nfayxfbpxnzot6dh7i

Hybrid human–machine information systems: Challenges and opportunities

Gianluca Demartini
2015 Computer Networks  
The creation of hybrid human-machine systems is a highly promising direction as it allows leveraging both the scalability of machines over large amounts of data as well as keeping the quality of human  ...  Such a hybrid approach is a great opportunity to develop systems that are more powerful than purely machine-based ones.  ...  Discussion We have presented an overview of different hybrid human-machine systems applied to different data processing problems.  ... 
doi:10.1016/j.comnet.2015.05.018 fatcat:un7dqw2o2rhydiuga4kvysz6ea

Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service

Zhenghao Liu, Xi Zeng
2021 Data and Information Management  
The development of hybrid intelligence is faced with cognitive differences, system fragmentation, humanmachine digital divide, and other issues.  ...  The proposed advanced human–computer interaction mode constructs a hybrid intelligent architecture model, enriches the concept system of humanmachine hybrid intelligence, and provides a new landing scheme  ...  This requires introduction of the human role or human cognitive model into the AI system to combine a mixed form of enhanced intelligence, in an attempt to achieve the effect of 1 + 1 > 2.  ... 
doi:10.2478/dim-2020-0051 fatcat:z27hcnyj2zesjojnnudbg4lthy

A Review of Machine Translation Systems in India and different Translation Evaluation Methodologies

Aditi Kalyani, Priti S. Sajja
2015 International Journal of Computer Applications  
But it is impossible for a human being to know all languages. This led to the inception of machine translation.  ...  Machine Translation (MT) is a field of Artificial Intelligence and Natural Language Processing which deals with translation from one language to another using machine translation system.  ...  An optimized MT architecture should include elements of both theories. Hence the Hybrid Machine Translation System comes into picture.  ... 
doi:10.5120/21840-4917 fatcat:orjsd4l2cvem7l46oaejakf6ja

Approaches to Machine Translation: A Review

John Oladosu, Adebimpe Esan, Ibrahim Adeyanju, Benjamin Adegoke, Olatayo Olaniyan, Bolaji Omodunbi
2016 FUOYE Journal of Engineering and Technology  
This paper reviews the two major approaches (single vs. hybrid) to machine translation and provides critique of existing machine translation systems with their merits and demerits.  ...  The work of translation was originally carried out by human translators and its limitations led to the development of machine translators.  ...  INTRODUCTION anguage is an efficient medium of communication which expresses the human mind (Abiola, Adetunbi and Oguntimilehin, 2015) .  ... 
doi:10.46792/fuoyejet.v1i1.26 fatcat:dd434o5njfctrlh3wnmrhg56mi

Hybrid-augmented intelligence: collaboration and cognition

Nan-ning Zheng, Zi-yi Liu, Peng-ju Ren, Yong-qiang Ma, Shi-tao Chen, Si-yu Yu, Jian-ru Xue, Ba-dong Chen, Fei-yue Wang
2017 Frontiers of Information Technology & Electronic Engineering  
Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence.  ...  The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings.  ...  Acknowledgements We are grateful to the reviewers for their valuable comments which helped us improve the manuscript.  ... 
doi:10.1631/fitee.1700053 fatcat:t4axcmno75a5vegz2jlhoj53ci

When Mediators Need Machines (and Vice Versa): Towards a Research Agenda on Hybrid Peacemaking Intelligence

Andreas T. Hirblinger
2022 International Negotiation  
These challenges may be overcome by hybrid human-machine systems in support of peacemaking.  ...  Mediators are increasingly unable to maintain their role as information brokers without the support of automated information gathering and analysis systems.  ...  In peacemaking, however, human-machine interactions in such hybrid systems have yet to be studied.  ... 
doi:10.1163/15718069-bja10050 fatcat:mupoiasdb5fmhnlhaoihg6sg6m

Latest trends in hybrid machine translation and its applications

Marta R. Costa-jussà, José A.R. Fonollosa
2015 Computer Speech and Language  
This survey on hybrid machine translation (MT) is motivated by the fact that hybridization techniques have become popular as they attempt to combine the best characteristics of highly advanced pure rule  ...  This survey provides a detailed overview of the modification of the standard rule-based architecture to include statistical knowledge, the introduction of rules in corpus-based approaches, and the hybridization  ...  Acknowledgements The authors would like to express particular thanks to Declan Groves for his valuable comments while reviewing this paper.  ... 
doi:10.1016/j.csl.2014.11.001 fatcat:d4zil3uw4vgnlhazj2qjgkes6q

Co-evolutionary hybrid intelligence [article]

Kirill Krinkin and Yulia Shichkina and Andrey Ignatyev
2021 arXiv   pre-print
The article discusses an alternative approach to the development of artificial intelligence systems based on human-machine hybridization and their co-evolution.  ...  The current approach to the development of intelligent systems is data-centric.  ...  CO-EVOLUTIONARY HYBRID INTELLIGENCE CONCEPT • human-machine and machine-machine interoperability The call for awareness of the “human side of computing” (the ability to  ... 
arXiv:2112.04751v1 fatcat:d4trct4iajelxgnwpgk2jovciq

A hybrid approach to fake news detection on social media

E.M. Okoro, B.A. Abara, A.O. Umagba, A.A. Ajonye, Z.S. Isa
2018 Nigerian Journal of Technology  
There have been a wide range of solutions developed to help humans distinguish between fake and real news however, the solutions rely on either a machinebased approach or a human-based approach to detection  ...  Based on these research findings, this paper proposes a hybrid model for detecting fake news on social media using a combination of both the humanbased and machine-based detection approaches.  ...  Description of hybrid model The function of the hybrid model (Machine-Human (MH) system) is to determine the likelihood that a news item is fake.  ... 
doi:10.4314/njt.v37i2.22 fatcat:kgpma5psfnbh7gxahctmhdmf3u

Robotic Systems in Operating Theaters: New Forms of Team–Machine Interaction in Health Care

Jochen Steil, Dominique Finas, Susanne Beck, Arne Manzeschke, Reinhold Haux
2019 Methods of Information in Medicine  
humans and machines, with robotic systems in operating theaters as an example.  ...  Hospital information systems will in future not only have humans as users, but also provide the ground for actions of intelligent machines.  ...  Our cordial thanks go also to Casimir Kulikowski, Rutgers University, New Jersey. He kindly edited an earlier version of this manuscript.  ... 
doi:10.1055/s-0039-1692465 pmid:31342471 fatcat:eraza4a7lfd5jhrg5ys72ekkpu

Negotiation as a Search for Justice

I. William Zartman, Daniel Druckman, Lloyd Jensen, Dean G. Pruitt, H. Peyton Young
1996 International Negotiation  
Mediators are increasingly unable to maintain their role as information brokers without the support of automated information gathering and analysis systems.  ...  This article formulates a research agenda for hybrid peacemaking intelligence that is concerned with the increasing interdependence of humans and machines.  ...  In peacemaking, however, human-machine interactions in such hybrid systems have yet to be studied.  ... 
doi:10.1163/157180696x00070 fatcat:i7ncm2hf25apzcjsqhiofw67pu
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