Name
Abstract | ||
|---|---|---|
Conversational robots and agents are being designed for educational and/or persuasive tasks, e.g., health or fitness coaching. To pursue such tasks over a long time, they will need a complex model of the strategic goal, a variety of strategies to implement it in interaction, and the capability of strategic talk. Strategic talk is incipient ongoing conversation in which at least one participant has the objective of changing the other participant's attitudes or goals. The paper is based on the observation that strategic talk can stretch over considerable periods of time and a number of conversational segments. Film dialogues are taken as a source to develop a model of the strategic talk of mentor characters. A corpus of film mentor utterances is annotated on the basis of the model, and the data are interpreted to arrive at insights into mentor behavior, especially into the realization and sequencing of strategies. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1080/01969722.2017.1407282 | CYBERNETICS AND SYSTEMS |
Keywords | Field | DocType |
Discourse Strategy,film dialogue,mentor | Conversation,Coaching,Human–computer interaction,Artificial intelligence,Robot,Mathematics,Machine learning,Strategic goal | Journal |
Volume | Issue | ISSN |
48.0 | 8 | 0196-9722 |
Citations | PageRank | References |
2 | 0.55 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabine Payr | 1 | 53 | 7.08 |
| Marcin Skowron | 2 | 118 | 14.75 |
| Anna Dobrosovestnova | 3 | 2 | 0.55 |
| Martin Trapp | 4 | 10 | 6.80 |
| Robert Trappl | 5 | 141 | 32.63 |