Pelikan2020
| Pelikan2020 | |
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| BibType | INPROCEEDINGS |
| Key | Pelikan2020 |
| Author(s) | Hannah R. M. Pelikan |
| Title | Intermediate-Level Knowledge: A Conversation Analysis Perspective |
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| Tag(s) | EMCA, Conversation analysis, Intermediate-level knowledge, Human-robot interaction, AI Reference List |
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| Year | 2020 |
| Language | English |
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| URL | Link |
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| Book title | First international workshop on Designerly HRI Knowledge. Held in conjunction with the 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020) |
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Abstract
When designing for and evaluating interaction with specific robots, we intuitively draw on knowledge about interaction with other humans and with other robots or machines. Much of our preconceptions and lay observations about interaction are rarely spelled out in HRI research. As I will demonstrate in this paper, our knowledge about basic human interaction patterns can be considered intermediate-level knowledge. Using the example of greeting patterns, I introduce multimodal conversation analysis both as a body of research that intermediate-level knowledge can be built upon and as a tool for exploring and critically reflecting knowledge about interactional patterns.
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