Exploring the landscape of recommender systems evaluation: Practices and perspectives
Recommender systems research and practice are fast-develo** topics with growing
adoption in a wide variety of information access scenarios. In this article, we present an …
adoption in a wide variety of information access scenarios. In this article, we present an …
Understanding and predicting user satisfaction with conversational recommender systems
User satisfaction depicts the effectiveness of a system from the user's perspective.
Understanding and predicting user satisfaction is vital for the design of user-oriented …
Understanding and predicting user satisfaction is vital for the design of user-oriented …
Impacts of personal characteristics on user trust in conversational recommender systems
Conversational recommender systems (CRSs) imitate human advisors to assist users in
finding items through conversations and have recently gained increasing attention in …
finding items through conversations and have recently gained increasing attention in …
“Listen to Music, Listen to Yourself”: Design of a Conversational Agent to Support Self-Awareness While Listening to Music
Music can affect the human brain and cognition. Melodies and lyrics that resonate with us
can awaken our inner feelings and thoughts; being in touch with these feelings and …
can awaken our inner feelings and thoughts; being in touch with these feelings and …
“I Think You Might Like This”: Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems
With the rapid growth of large language models, conversational recommender systems
(CRSs) are on the rise. When receiving a CRS recommendation, one may encounter …
(CRSs) are on the rise. When receiving a CRS recommendation, one may encounter …
CRS-Que: A User-centric Evaluation Framework for Conversational Recommender Systems
An increasing number of recommendation systems try to enhance the overall user
experience by incorporating conversational interaction. However, evaluating conversational …
experience by incorporating conversational interaction. However, evaluating conversational …
Conversational recommendation: A grand AI challenge
Animated avatars, which look and talk like humans, are iconic visions of the future of AI-
powered systems. Through many sci-fi movies, we are acquainted with the idea of speaking …
powered systems. Through many sci-fi movies, we are acquainted with the idea of speaking …
Concept--An Evaluation Protocol on Conversation Recommender Systems with System-and User-centric Factors
The conversational recommendation system (CRS) has been criticized regarding its user
experience in real-world scenarios, despite recent significant progress achieved in …
experience in real-world scenarios, despite recent significant progress achieved in …
User Perception of Fairness-Calibrated Recommendations
G Alves, D Jannach, R Ferrari De Souza… - Proceedings of the …, 2024 - dl.acm.org
The research community has become increasingly aware of possible undesired effects of
algorithmic biases in recommender systems. One common bias in such systems is to over …
algorithmic biases in recommender systems. One common bias in such systems is to over …
Key Principles Pertinent to User Experience Design for Conversational User Interfaces: A Conceptual Learning Model
A Rossouw, H Smuts - International Conference on Innovative …, 2023 - Springer
The evolution of digital technologies enables a pervasive or ubiquitous computing
environment in which the processing of information is linked with how we engage in society …
environment in which the processing of information is linked with how we engage in society …