Generation of Output Style Variation in the SAMMIE Dialogue System
نویسندگان
چکیده
A dialogue system can present itself and/or address the user as an active agent by means of linguistic constructions in personal style, or suppress agentivity by using impersonal style. We describe how we generate and control personal and impersonal style variation in the output of SAMMIE, a multimodal in-car dialogue system for an MP3 player. We carried out an experiment to compare subjective evaluation judgments and input style alignment behavior of users interacting with versions of the system generating output in personal vs. impersonal style. Although our results are consistent with earlier findings obtained with simulated systems, the effects are weaker.
منابع مشابه
Natural and Intuitive Multimodal Dialogue for In-Car Applications: The SAMMIE System
We present SAMMIE, a laboratory demonstrator of an in-car showcase of a multimodal dialogue system developed in the TALK project in cooperation between DFKI/USAAR/BOSCH/BMW, to show natural, intuitive mixed-initiative interaction, with particular emphasis on multimodal turn-planning and natural language generation. SAMMIE currently supports speech-centered multimodal access for the driver to a ...
متن کاملThe Effect of Dialogue System Output Style Variation on Users' Evaluation Judgments and Input Style
A dialogue system can present itself and/or address the user as an active agent by means of linguistic constructions in personal style, or suppress agentivity by using impersonal style. We compare system evaluation judgments and input style alignment of users interacting with an in-car dialogue system generating output in personal vs. impersonal style. Although our results are consistent with e...
متن کاملThe SAMMIE System: Multimodal In-Car Dialogue
The SAMMIE1 system is an in-car multimodal dialogue system for an MP3 application. It is used as a testing environment for our research in natural, intuitive mixed-initiative interaction, with particular emphasis on multimodal output planning and realization aimed to produce output adapted to the context, including the driver’s attention state w.r.t. the primary driving task.
متن کاملLearning to Adapt in Dialogue Systems: Data-driven Models for Personality Recognition and Generation
Dialogue systems are artefacts that converse with human users in order to achieve some task. Each step of the dialogue requires understanding the user’s input, deciding on what to reply, and generating an output utterance. Although there are many ways to express any given content, most dialogue systems do not take linguistic variation into account in both the understanding and generation phases...
متن کاملOn-Line Learning of a Persian Spoken Dialogue System Using Real Training Data
The first spoken dialogue system developed for the Persian language is introduced. This is a ticket reservation system with Persian ASR and NLU modules. The focus of the paper is on learning the dialogue management module. In this work, real on-line training data are used during the learning process. For on-line learning, the effect of the variations of discount factor (g) on the learning speed...
متن کامل