Literature DB >> 10929820

From human-machine interaction to human-machine cooperation.

J M Hoc1.   

Abstract

Since the 1960s, the rapid growth of information systems has led to the wide development of research on human-computer interaction (HCI) that aims at the designing of human-computer interfaces presenting ergonomic properties, such as friendliness, usability, transparency, etc. Various work situations have been covered--clerical work, computer programming, design, etc. However, they were mainly static in the sense that the user fully controls the computer. More recently, public and private organizations have engaged themselves in the enterprise of managing more and more complex and coupled systems by the means of automation. Modern machines not only process information, but also act on dynamic situations as humans have done in the past, managing stock exchange, industrial plants, aircraft, etc. These dynamic situations are not fully controlled and are affected by uncertain factors. Hence, degrees of freedom must be maintained to allow the humans and the machine to adapt to unforeseen contingencies. A human-machine cooperation (HMC) approach is necessary to address the new stakes introduced by this trend. This paper describes the possible improvement of HCI by HMC, the need for a new conception of function allocation between humans and machines, and the main problems encountered within the new forms of human-machine relationship. It proposes a conceptual framework to study HMC from a cognitive point of view in highly dynamic situations like aircraft piloting or air-traffic control, and concludes on the design of 'cooperative' machines.

Entities:  

Mesh:

Year:  2000        PMID: 10929820     DOI: 10.1080/001401300409044

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  5 in total

Review 1.  Restoring standing capabilities with feedback control of functional neuromuscular stimulation following spinal cord injury.

Authors:  Raviraj Nataraj; Musa L Audu; Ronald J Triolo
Journal:  Med Eng Phys       Date:  2017-02-15       Impact factor: 2.242

2.  Validation of a trust in medical technology instrument.

Authors:  Enid Montague
Journal:  Appl Ergon       Date:  2010-02-26       Impact factor: 3.661

3.  Cyborg groups enhance face recognition in crowded environments.

Authors:  Davide Valeriani; Riccardo Poli
Journal:  PLoS One       Date:  2019-03-06       Impact factor: 3.240

4.  Virtual Partner Interaction (VPI): exploring novel behaviors via coordination dynamics.

Authors:  J A Scott Kelso; Gonzalo C de Guzman; Colin Reveley; Emmanuelle Tognoli
Journal:  PLoS One       Date:  2009-06-03       Impact factor: 3.240

5.  Long-Term Evaluation of Drivers' Behavioral Adaptation to an Adaptive Collision Avoidance System.

Authors:  Husam Muslim; Makoto Itoh
Journal:  Hum Factors       Date:  2020-06-02       Impact factor: 2.888

  5 in total

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