scispace - formally typeset
Open AccessProceedings ArticleDOI

Experiences of an In-Service Wizard-of-Oz Data Collection for the Deployment of a Call-Routing Application

Mats Wirén, +1 more
- pp 56-63
Reads0
Chats0
TLDR
This paper describes the experiences of collecting a corpus of 42,000 dialogues for a call-routing application using a Wizard-of-Oz approach, and provides a detailed exposition of the data collection as such and the application used, and compares the approach to methods previously used.
Abstract
This paper describes our experiences of collecting a corpus of 42,000 dialogues for a call-routing application using a Wizard-of-Oz approach. Contrary to common practice in the industry, we did not use the kind of automated application that elicits some speech from the customers and then sends all of them to the same destination, such as the existing touch-tone menu, without paying attention to what they have said. Contrary to the traditional Wizard-of-Oz paradigm, our data-collection application was fully integrated within an existing service, replacing the existing touch-tone navigation system with a simulated call-routing system. Thus, the subjects were real customers calling about real tasks, and the wizards were service agents from our customer care. We provide a detailed exposition of the data collection as such and the application used, and compare our approach to methods previously used.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Towards human-like spoken dialogue systems

TL;DR: The two-way mimicry target is presented, a model for measuring how well a human-computer dialogue mimics or replicates some aspect of human-human dialogue, including human flaws and inconsistencies.
Book ChapterDOI

Potential Benefits of Human-Like Dialogue Behaviour in the Call Routing Domain

TL;DR: An experiment in the call routing domain that took place during the development of a call routing system for the TeliaSonera residential customer care in Sweden, using a corpus of 42,000 calls as a basis for identifying problematic dialogues and the strategies used by operators to overcome the problems.
Proceedings ArticleDOI

Multi-slot semantics for natural-language call routing systems

TL;DR: This paper describes the experiences of using a two-level multi-slot semantics as a way of meeting the problem of maintaining consistency among manually tagged utterances, and explores the ramifications of the approach with respect to classification, evaluation and dialogue design for call routing systems.

In search for the conversational homunculus : serving to understand spoken human face-to-face interaction

Jens Edlund
TL;DR: In the group of people with whom I have worked most closely, we recently attempted to dress our visionary goal in words: "to learn enough about human face-to-face interaction that we are able to...

Effects of open and directed prompts on filled pauses and utterance production

Robert Eklund, +1 more
TL;DR: This paper describes an experiment where open and directed prompts were alternated when collecting speech data for the deployment of a call-routing application, which is interesting in the light of the “many-options” hypothesis of filled pause production.
References
More filters
Proceedings Article

Learning to predict problematic situations in a spoken dialogue system: experiments with how may I help you?

TL;DR: Results on learning to automatically identify and predict problematic human-computer dialogues in a corpus of 4774 dialogues collected with the How May I Help You spoken dialogue system are reported.
Proceedings Article

Knowledge collection for natural language spoken dialog systems.

TL;DR: This work introduces an extension of the "Wizard of Oz", a hidden human agent who oversees the machine side of the interaction in collaboration with the automated dialog manager, unbeknownst to the user.
Proceedings ArticleDOI

The collection and preliminary analysis of a spontaneous speech database

TL;DR: This paper documents the data collection process, and provides some preliminary analyses of the collected speech data, composed of spontaneous sentences which were collected during a simulated human/machine dialogue.
Proceedings ArticleDOI

Multi-slot semantics for natural-language call routing systems

TL;DR: This paper describes the experiences of using a two-level multi-slot semantics as a way of meeting the problem of maintaining consistency among manually tagged utterances, and explores the ramifications of the approach with respect to classification, evaluation and dialogue design for call routing systems.
Related Papers (5)