Ontology-Based Models of Chatbots for Populating Knowledge Graphs
Abstract
References
Recommendations
Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data
CSCWLarge language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal such as collecting self-...
Towards Bridging the Gap Between Knowledge Graphs and Chatbots
Web EngineeringAbstractChatbots are nowadays being applied widely in different life domains. One major reason for this trend is the mature development process that is supported by large companies and sophisticated conversational platforms. However, the required ...
Exploring how politeness impacts the user experience of chatbots for mental health support
AbstractPoliteness is important in human–human interaction when asking people to engage in sensitive conversations. If politeness manifests similarly in human–chatbot interaction, it may play an important role in the design of sensitive chatbot ...
Highlights- Politeness can both positively and negatively impact the chatbot user experience.
- The Personal politeness chatbot was experienced as caring and encouraging.
- The Passive politeness chatbot was experienced as too apologetic and ...
Comments
Information & Contributors
Information
Published In
![cover image Guide Proceedings](/cms/asset/8d413051-bd57-48dc-9d09-c231192baaea/978-3-031-47745-4.cover.jpg)
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in