Toward truly personal chatbots: On the Development of Custom Conversational Assistants
| Autor: | Alessandro Dell'Orto, Florian Daniel, Maristella Matera, Vittorio Zaccaria |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Value (ethics)
Computer science End user Control (management) 020207 software engineering 02 engineering and technology computer.software_genre Chatbot Human–computer interaction Software agent 020204 information systems 0202 electrical engineering electronic engineering information engineering Mashup Instant messaging computer Natural language |
| Zdroj: | SE4COG@ICSE |
| Popis: | Chatbots, i.e., conversational software agents able to interact with users via instant messaging channels like Messenger, WhatsApp or SMS, have the power to substantively simplify human-computer interaction thanks to their natural language paradigm. While this certainly helps to lower barriers, state-of-the-art chatbots prevalently provide access to generic, non-personalized features with relatively little usefulness. This may hinder adoption. To provide users with real value, we envision a kind of chatbot that is personal and helpful by providing services that are chosen and configured by the users themselves, for themselves. As the development of a one-size-fits-all, yet flexible and customizable bot is hard, if not impossible, we discuss requirements and design options that directly put the user into control of their own personal bot. |
| Databáze: | OpenAIRE |
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