“Symbiotic interaction identifies interactive computerized systems that create steps further with respect to user-centered design paradigms. Symbiotic interaction relies on a new generation of resources to understand users and to make themselves understandable to users. We refer to the fact that distributed systems can easily and autonomously sense the physiological and behavioral information of users over time; it can aggregate and analyze this and other information in a large mass of users. This makes it possible to design systems that detect the users’ psychophysiological states. This also makes it possible to predict actions that use this information to better adapt output to the user regardless of his/her ability to explicitly refine his/her request.” (p.4) “Symbiotic interaction can be achieved by combining computation, sensing technology, and interaction design to realize deep perception, awareness, and understanding between humans and computers”. (p.11).

From Jacucci, G., Spagnolli, A., Freeman, J., & Gamberini, L. (2014). Symbiotic interaction: a critical definition and comparison to other human-computer paradigms. In Symbiotic Interaction (pp. 3-20). Springer International Publishing.

"....symbiotic systems are those computerized devices that can autonomously fetch information from the users, interpret such information to model the user and then make decisions with the ultimate goal of simplifying the users’ task, clarifying possible issues, or refining a service for them (e.g., recommendations); and finally to evolve and become more efficient by learning from previous interaction" (p. 2) "this process mostly occurs implicitly, relying on human biosignals that are out of grasp to the individual user or on billions of traces left by users of networked devices" (p. 2) "an intimate kind of relation that is made possible by the synergic advances in physiological computing, biometrics, sensing technologies, and machine learning, often combined with the ubiquity of networked devices." (p. 2)  

From Luciano Gamberini and Anna Spagnolli  (2017). Towards a Definition of Symbiotic Relations Between Humans and Machines. In Symbiotic Interaction (pp. 1-4). Springer International Publishing.

“The capacity of the system to successfully translate human goals and values into adaptive responses that are appropriate and effective at the interface represents a particular challenge” (p.57). “If technology can develop in this direction, the relationship between users and machines evolves towards a close, collaborative interaction that has profound implications for future technologies and its human users.” (p.59). “Such benefits can only be obtained at the cost of a strategic reconfiguration of the relationship between people and technology – specifically users must cede a degree of control over their interaction with technology in order to create an interaction that is active, dynamic and capable of responding in a stochastic fashion.”(p.57).

From Fairclough, S. (2015). A Closed-Loop Perspective on Symbiotic Human-Computer Interaction. In Symbiotic Interaction 2015 (pp. 57-67). Springer International Publishing.

© 2017 Symbiotic Research Network

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