Automatic information behaviour recognition

Abstract

This paper aims to propose and discuss concepts of how users can recognise information seeking behaviour automatically and what implications such an automatic recognition can have. The authors develop the discussion around variables proposed in Wilson's second model of information behaviour and state how they can collect data necessary to recognise information behaviour automatically. The authors give an overview of different parts of Wilson's second information behaviour model such as activating mechanisms (stress/coping, risk/reward, and self-efficacy), intervening variables, different stages in the information acquisition process, and types of information seeking. They also discuss streams of data that can be collected and processed automatically. From a set of thought experiments, the authors propose that by processing computer log files and recognising user affective states, which employ affective computing techniques, it is possible to recognise information seeking behaviour. Analysis also shows that Wilson's second model of information behaviour can be used as a reference model in designing automatic information behaviour systems. By quantitatively describing the information behaviour sequence, such a description could be implemented into the computer algorithm, and that process of information searching could be replicated reducing the time needed to satisfy information needs. Modern society is one step closer to making the trails Vannevar Bush proposed a reality.