Abstract
Call centers, in which human operators attend clients using textual chat, are very common in modern e-commerce. Training enough skilled operators who are able to provide good service is a challenge. We propose a methodology for the development of an assisting agent that provides online advice to operators while they attend clients. The agent is easy-to-build and can be introduced to new domains without major effort in design, training and organizing sknowledge of the professional discipline. We demonstrate the applicability of the system in an experiment that realizes its full life-cycle on a specific domain, and analyze its capabilities.
Original language | English |
---|---|
Title of host publication | Multi-Agent Systems - 19th European Conference, EUMAS 2022, Proceedings |
Editors | Dorothea Baumeister, Jörg Rothe |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 41-59 |
Number of pages | 19 |
ISBN (Print) | 9783031206139 |
DOIs | |
State | Published - 2022 |
Event | 19th European Conference on Multi-Agent Systems, EUMAS 2022 - Düsseldorf, Germany Duration: 14 Sep 2022 → 16 Sep 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 13442 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th European Conference on Multi-Agent Systems, EUMAS 2022 |
---|---|
Country/Territory | Germany |
City | Düsseldorf |
Period | 14/09/22 → 16/09/22 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Advising agent
- Call center
- Human study
- Human-agent interaction