| Title | Toward Design Archetypes for Conversational Agent Personality |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Lessio, Nadine, Morris, Alexis |
| Conference Name | 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
| Keywords | Archetypes, chatbot, complex systems, Conferences, conversational agents, cybernetics, Human Behavior, Human-Like Agents, Internet of Things, Metrics, personality, psychology, pubcrawl, Scalability, Standards |
| Abstract | Conversational agents (CAs), often referred to as chatbots, are being widely deployed within existing commercial frameworks and online service websites. As society moves further into incorporating data rich systems, like the internet of things (IoT), into daily life, it is expected that conversational agents will take on an increasingly important role to help users manage these complex systems. In this, the concept of personality is becoming increasingly important, as we seek for more human-friendly ways to interact with these CAs. In this work a conceptual framework is proposed that considers how existing standard psychological and persona models could be mapped to different kinds of CA functionality outside of strictly dialogue. As CAs become more diverse in their abilities, and more integrated with different kinds of systems, it is important to consider how function can be impacted by the design of agent personality, whether intentionally designed or not. Based on this framework, derived archetype classes of CAs are presented as starting points that can hopefully aid designers, developers, and the curious, into thinking about how to work toward better CA personality development. |
| DOI | 10.1109/SMC42975.2020.9283254 |
| Citation Key | lessio_toward_2020 |
Toward Design Archetypes for Conversational Agent Personality