EHCTool: Managing Emotional Hotspots for Conversational Agents
| Title | EHCTool: Managing Emotional Hotspots for Conversational Agents |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Sandbank, Tommy, Shmueli-Scheuer, Michal, Herzig, Jonathan, Konopnicki, David, Shaul, Rottem |
| Conference Name | Proceedings of the 22Nd International Conference on Intelligent User Interfaces Companion |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4893-5 |
| Keywords | conversational agent, conversational agents, emotions, Human Behavior, Metrics, pubcrawl, Scalability, tooling |
| Abstract | Building conversational agents is becoming easier thanks to the profusion of designated platforms. Integrating emotional intelligence in such agents contributes to positive user satisfaction. Currently, this integration is implemented using calls to an emotion analysis service. In this demonstration we present EHCTool that aims to detect and notify the conversation designer about problematic conversation states where emotions are likely to be expressed by the user. Using its exploration view, the tool assists the designer to manage and define appropriate responses in these cases. |
| URL | https://dl.acm.org/doi/10.1145/3030024.3038260 |
| DOI | 10.1145/3030024.3038260 |
| Citation Key | sandbank_ehctool:_2017 |