27 research outputs found

    Peopleā€™s responses to autonomous and adaptive systems

    Get PDF
    Computer systems are no longer passive tools; instead a growing selection of systems can learn, adapt and make decisions that previously required human intervention. This PhD thesis investigates peopleā€™s interaction with such autonomous and adaptive systems. The systems investigated range from spam filters that learn, to social robots that interact with people in ways similar to human-to-human interaction. When systems act in more autonomous ways, they appear harder to understand and become less predictable. They require users to hand over control; users have to put their trust in the system. This thesis presents six user studies and experiments, which explore the complexities of interacting with systems that to a certain extent appear to make their own decisions. Focus is on two themes: the fundamental conflict of system autonomy and the userā€™s perception of control, and the potential of social behaviours in interaction with highly complex, ā€˜intelligentā€™ systems
    corecore