Abstract
In this paper we introduce a conversational robot designed to assist children in searching a museum’s cultural heritage video archive. The robot employs a form of Spoken Conversational Search to facilitate the clarification of children’s interest (their information need) in specific videos from the archive. Children are typically insufficiently supported in this process by common search technologies such as search-bar and keyboard, or one-shot voice interfaces. We present our approach, which leverages a knowledge-graph representation of the museum’s video archive to facilitate conversational search interactions and suggest content based on the interaction, in order to study information-seeking conversations with children. We plan to use the robot test-bed to investigate the effectiveness of conversational designs over one-shot voice interactions for clarifying children’s information needs in a museum context.
| Original language | English |
|---|---|
| Title of host publication | Advances in Information Retrieval |
| Subtitle of host publication | 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part V |
| Editors | Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 144-151 |
| Number of pages | 8 |
| Edition | 1 |
| ISBN (Electronic) | 978-3-031-56069-9 |
| ISBN (Print) | 978-3-031-56068-2 |
| DOIs | |
| Publication status | Published - 2024 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 14612 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- 2024 OA procedure
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