Primary and Secondary Experience as a Foundations of Adaptive Information Systems

Sergej Lugović,Ivan Dunđer,Marko Horvat

doi:10.3390/isis-summit-vienna-2015-t2.1002

Abstract

Primary and Secondary Experience as a Foundations of Adaptive Information Systems

Highlights

Humanity evidences major social, technological, economic and cultural transformations producing a new kind of society: network society [1]
We evidence a trend of blurring the line between technological and social in information system research, moving the focus from deterministic to more casual logic in their design
Main aim of our research is to search for feedback from users’ socio-cognitive behaviour that could be used as a signal that triggers information system adaption

Summary

Introduction

Technological, economic and cultural transformations producing a new kind of society: network society [1]. What is essential is the moment when they become imbricated, i.e. interlocked in a particular sequence, and as a whole they produce, sustain, or change routines and technologies [8] To observe this phenomenon and to find an answer to the aforementioned question, the particular sequence of the relationship between human and material agencies, the inherent inseparability between the technical and the social, and the complexity of real situations should be examined, rather than analysing separate aspects [9]. In a recent proposal for development of science based on socio-technical progress, the term Science 2.0 emerged as a new phenomenon of interrelated socio-technical interactions, claiming that sociotechnical systems are best studied at scale, in the real world, by rigorous observation, carefully chosen interventions and ambitious data collections [10] In such an environment, which is fruitful for critiquing, suggesting, sharing ideas and data, communication is the heart of science, the most powerful tool ever invented for correcting errors, building on colleagues’ work and fashioning new knowledge [11]. Software to be run on such a socio-technical system must be able to sense, interpret and respond [12] to patterns of system behaviour that emerge according to internal system properties or reflections to the environment

Secondary experience research

Conclusion