Abstract
This paper proposes a framework for an Agent Auto-Generation System (AAGS) which gets information from sensor devices and improvises a conversational agent from arbitrary things. AAGS has agent-Types to prepare a perception for an improvised agent according to the shape of the agentization targets. It also has virtual-input, which generates knowledge representation related to information extracted from the networked sensor devices. The virtual-input employs a viewpoint based on the agent-Type to generate a knowledge expression, and gives it to the improvised agent. Experiments to evaluate AAGS revealed that it is necessary to consider the perception of the improvised agents based on the agent-Types. In addition, the agent's viewpoint for the perception has an effect on how people recognize the improvised agent.
| Original language | English |
|---|---|
| Title of host publication | RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 201-206 |
| Number of pages | 6 |
| Volume | 2017-January |
| ISBN (Electronic) | 9781538635186 |
| DOIs | |
| Publication status | Published - 2017 Dec 8 |
| Event | 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal Duration: 2017 Aug 28 → 2017 Sept 1 |
Other
| Other | 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 17/8/28 → 17/9/1 |
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Human-Computer Interaction
- Control and Optimization