Papers by Jelte van Waterschoot

2 papers
An Information-Providing Closed-Domain Human-Agent Interaction Corpus (L18-1)

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Challenge: a human-agent interaction corpus is a corpus of conversations between a user and an embodied conversational agent operated by a wizard of oz . data collected to create a 'corpus' with unexpected situations, such as misunderstandings, false information, and interruptions.
Approach: They propose a public corpus for Human-Agent Interaction where the agent is controlled by a Wizard of Oz.
Outcome: The proposed corpus is based on 15 conversations between users and a wizard of Oz agent . the data are used to create a corpus with unexpected situations, such as misunderstandings, false information, and interruptions.
BLISS: An Agent for Collecting Spoken Dialogue Data about Health and Well-being (2020.lrec-1)

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Challenge: Structured interviews are a time-consuming and inefficient way to gather information about people's well-being.
Approach: They propose to build an artificial intelligence agent which asks questions about happiness . they build a prototype of the agent and collect 55 spoken dialogues .
Outcome: The proposed agent collects 55 spoken dialogues and asks users about happiness and well-being.

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