TY - GEN
T1 - Variability-Aware Architecture for Human-Chatbot Interactions
T2 - 4th IEEE International Conference on Automatic Computing and Self-Organizing Systems Companion, ACSOS-C 2023
AU - Melo, Glaucia
AU - Nascimento, Nathalia
AU - Alencar, Paulo
AU - Cowan, Donald
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Human-chatbot interactions have become increasingly complex and dynamic. These interactions depend on a multitude of context-aware factors, including those related to the people involved, the environment, the tasks to be accomplished, and the system quality attributes. A key challenge is how to capture the context-aware factors in human-chatbot interactions that influence the levels of automation in autonomous systems. Another challenge is how to incorporate these factors in the architectural design of these systems to create personalized and contextually appropriate responses. This paper proposes a variability-aware feature-oriented architectural design for enhancing human-chatbot interactions. The architecture is designed to accommodate the dynamic and varying requirements of autonomous computing systems, with a particular focus on chatbots. The paper presents the steps involved in the architectural design and demonstrates its instantiation through a specific scenario involving customer service for financial services chatbots.
AB - Human-chatbot interactions have become increasingly complex and dynamic. These interactions depend on a multitude of context-aware factors, including those related to the people involved, the environment, the tasks to be accomplished, and the system quality attributes. A key challenge is how to capture the context-aware factors in human-chatbot interactions that influence the levels of automation in autonomous systems. Another challenge is how to incorporate these factors in the architectural design of these systems to create personalized and contextually appropriate responses. This paper proposes a variability-aware feature-oriented architectural design for enhancing human-chatbot interactions. The architecture is designed to accommodate the dynamic and varying requirements of autonomous computing systems, with a particular focus on chatbots. The paper presents the steps involved in the architectural design and demonstrates its instantiation through a specific scenario involving customer service for financial services chatbots.
UR - http://www.scopus.com/inward/record.url?scp=85181538379&partnerID=8YFLogxK
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U2 - 10.1109/ACSOS-C58168.2023.00051
DO - 10.1109/ACSOS-C58168.2023.00051
M3 - Conference contribution
AN - SCOPUS:85181538379
T3 - Proceedings - 2023 IEEE International Conference on Automatic Computing and Self-Organizing Systems Companion, ACSOS-C 2023
SP - 122
EP - 127
BT - Proceedings - 2023 IEEE International Conference on Automatic Computing and Self-Organizing Systems Companion, ACSOS-C 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 September 2023 through 29 September 2023
ER -