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Abstract
  • The present contribution investigates the construction of
    dialogue structure for the use in human-machine interaction
    especially for robotic systems and embodied conversational
    agents. We are going to present a methodology and findings of a
    pilot study for the design of task-specific dialogues.
    Specifically, we investigated effects of dialogue complexity on
    two levels: First, we examined the perception of the embodied
    conversational agent, and second, we studied participants’
    performance following HRI. To do so, we manipulated the agent’s
    friendliness during a brief conversation with the user in a
    receptionist scenario.

    The paper presents an overview of the dialogue system, the
    process of dialogue construction, and initial evidence from an
    evaluation study with naïve users (N = 40). These users
    interacted with the system in a task-based dialogue in which they
    had to ask for the way in a building unknown to them. Afterwards
    participants filled in a questionnaire. Our findings show that
    the users prefer the friendly version of the dialogue which
    scored higher values both in terms of data collected via a
    questionnaire and in terms of data collected during the run of
    the experiment.

    Implications of the present research for follow-up studies are
    discussed, specifically focusing on the effects that dialogue
    features have on agent perception and on the user’s evaluation
    and performance.
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