Name
Abstract | ||
|---|---|---|
Queries containing false memories (i.e., attributes the user misremembered about a searched item) represent a challenge for search systems. A query with a false memory will match inadequate results or even no result, and an automatic query correction is necessary to satisfy the user expectations. For voice-based search interfaces, which aim at a natural, dialog-based search experience, a sensible answer to this kind of unintentionally ill-posed queries is even more crucial. However, the usual solutions in display-based interfaces for queries without matches (e.g., suggesting to drop some query terms) cannot really be transferred to the voice-based setting. Based on the assumption that false memory queries could be identified---a research problem in its own right---, we present the first user study on how voice-based search systems may communicate the respective corrections to a user. Our study compares the user satisfaction in a voice-based search setting for three kinds of false memory clarifications and a baseline case where the system just answers "I don't know.'' Our findings suggest that (1)~users are more satisfied when they receive a clarification that and how the system corrected a false memory, (2)~users even prefer failed correction attempts over no such attempt, and (3)~the tone of the clarification has to be considered for the best possible user satisfaction as well.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3295750.3298961 | conference on human information interaction and retrieval |
Field | DocType | ISBN |
Dialog box,False memory,User expectations,Voice assistant,Information retrieval,Computer science,Voice search | Conference | 978-1-4503-6025-8 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johannes Kiesel | 1 | 37 | 12.37 |
| Arefeh Bahrami | 2 | 0 | 0.68 |
| Benno Stein | 3 | 115 | 13.22 |
| Avishek Anand | 4 | 102 | 11.61 |
| Matthias Hagen | 5 | 369 | 48.51 |