@article{,
    author = {Balthasar, Mandy},
    title = {Social anthropology 4.0 : The human-computer organism – a concrete utopia},
    editor = {},
    booktitle = {},
    series = {},
    journal = {i-com Journal of Interactive Media},
    address = {},
    publisher = {},
    edition = {},
    year = {2024},
    isbn = {},
    volume = {23},
    number =  {2},
    pages = {273-292},
    url = {},
    doi = {10.1515/icom-2024-0016},
    keywords = {collective intelligence ; decision making ; human- computer interaction ; sociotechnical systems},
    abstract = {Human-computer interaction as a coordinating element between human and machine is used in many dif- ferent ways. Due to their digital processes, countless indus- tries are dependent on an effective intermeshing of humans and machines. This often involves preparatory work or sub- processes being carried out by machines, which humans ini- tiate, take up, continue, finalise or check. Tasks are broken down into sub-steps and completed by humans or machines. Aggregated cooperation conceals the numerous challenges of hybrid cooperation in which communication and coordi- nation must be mastered in favour of joint decision-making. However, research into human-computer interaction can also be thought of differently than a mere aggregation of humans and machines. We want to propose a nature- inspired possibility that has been successfully practising the complex challenges of joint decision-making as proof of successful communication and coordination for millions of years. Collective intelligence and the processes of self- organisation offer biomimetic concepts that can be used to rethink socio-technical systems as a symbiosis in the form of a human-computer organism. For example, the effects of self-organisation such as emergence could be used to exceed the result of an aggregation of humans and machines as a future social anthropology 4.0 many times over.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Informatik, INF 2 - Institut für Softwaretechnologie, Professur: Koch, Michael},
    
    
}