Name
Abstract | ||
|---|---|---|
We describe experiments towards building a conversational digital assistant that considers the preferred conversational style of the user. In particular, these experiments are designed to measure whether users prefer and trust an assistant whose conversational style matches their own. To this end we conducted a user study where subjects interacted with a digital assistant that responded in a way that either matched their conversational style, or did not. Using self-reported personality attributes and subjectsu0027 feedback on the interactions, we built models that can reliably predict a useru0027s preferred conversational style. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.21437/interspeech.2019-1829 | Conference of the International Speech Communication Association |
DocType | Volume | Citations |
Journal | abs/1904.01664 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katherine Metcalf | 1 | 0 | 2.03 |
| Barry-John Theobald | 2 | 332 | 25.39 |
| Garrett Weinberg | 3 | 0 | 0.68 |
| Robert Lee | 4 | 0 | 1.69 |
| Ing-Marie Jonsson | 5 | 146 | 18.06 |
| Russ Webb | 6 | 0 | 1.69 |
| Nicholas Apostoloff | 7 | 0 | 0.68 |