The Persuasive Power of Human-Machine Dialogue
نویسندگان
چکیده
The persuasive power of live interaction is hard to match, yet technologies are increasingly taking on roles to promote behavioral change. We believe that speech-based interfaces offer a compelling mode of interaction for engaging users and are motivated to understand how to best present persuasive information using speech interaction. We present a study comparing the persuasive power of two speech-based information systems, one which uses a recorded message-based lecture presentation and another which uses an interactive dialogic presentation. We measure the persuasive power across both conditions using a survival task. We find that the dialogic system is significantly more persuasive than the lecture system. We also find that the dialogic system presents significantly (almost four times) less information than the lecture system. We analyze our results using three standard rank correlation methods. We point to limitations of these measures and propose a new metric which appears to be more sensitive for this task.
منابع مشابه
The Persuasive Power of Human-Machine Dialogue
The persuasive power of live interaction is hard to match, yet technologies are increasingly taking on social roles to promote behavioral change. We believe that speech-based interfaces offer a compelling mode of interaction for engaging users and are motivated to understand how to best present persuasive information using speech interaction. We present a study comparing the persuasive power of...
متن کاملConstruction and Analysis of a Persuasive Dialogue Corpus
Persuasive dialogue systems, systems which are not passive actors, but actually try to change the thoughts or actions of dialogue participants, have gained some interest in recent dialogue literature. In order to construct more effective persuasive dialogue systems, it is important to understand how the system’s human counterparts perform persuasion. In this paper, we describe the construction ...
متن کاملPersuasive Argumentation in Human Computer Dialogue
In the field of natural language dialogue, a new trend is exploring persuasive argumentation theories. Applying these theories to human-computer dialogue management could lead to a more comfortable experience for the user and give way to new applications. In this paper, we study the different aspects of persuasive communication needed for health-care advising and how to implement them to produc...
متن کاملReinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing
In this paper, we apply reinforcement learning for automatically learning cooperative persuasive dialogue system policies using framing, the use of emotionally charged statements common in persuasive dialogue between humans. In order to apply reinforcement learning, we describe a method to construct user simulators and reward functions specifically tailored to persuasive dialogue based on a cor...
متن کاملLearning cooperative persuasive dialogue policies using framing
In this paper, we propose a new framework of cooperative persuasive dialogue, where a dialogue system simultaneously attempts to achieve user satisfaction while persuading the user to take some action that achieves a pre-defined system goal. Within this framework, we describe a method for reinforcement learning of cooperative persuasive dialogue policies by defining a reward function that refle...
متن کامل