Towards human-centered proactive conversational agents
Recent research on proactive conversational agents (PCAs) mainly focuses on improving
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
the system's capabilities in anticipating and planning action sequences to accomplish tasks …
AI knowledge: Improving AI delegation through human enablement
When collaborating with artificial intelligence (AI), humans can often delegate tasks to
leverage complementary AI competencies. However, humans often delegate inefficiently …
leverage complementary AI competencies. However, humans often delegate inefficiently …
Xair: A framework of explainable ai in augmented reality
Explainable AI (XAI) has established itself as an important component of AI-driven
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …
interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives …
The Sharing Economy: A Systematic Literature Review and Research Agenda
M Khodayari, M Akbari, P Foroudi - International Journal of …, 2025 - Wiley Online Library
The sharing economy has emerged as a transformative model in the digital age. However,
existing reviews often focus on isolated aspects and provide limited insights into its …
existing reviews often focus on isolated aspects and provide limited insights into its …
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 …
When in Doubt! Understanding the Role of Task Characteristics on Peer Decision-Making with AI Assistance
S Salimzadeh, U Gadiraju - Proceedings of the 32nd ACM Conference …, 2024 - dl.acm.org
With the integration of AI systems into our daily lives, human-AI collaboration has become
increasingly prevalent. Prior work in this realm has primarily explored the effectiveness and …
increasingly prevalent. Prior work in this realm has primarily explored the effectiveness and …
Where are the Values? A Systematic Literature Review on News Recommender Systems
C Bauer, C Bagchi, OA Hundogan… - ACM Transactions on …, 2024 - dl.acm.org
In the recommender systems field, it is increasingly recognized that focusing on accuracy
measures is limiting and misguided. Unsurprisingly, in recent years, the field has witnessed …
measures is limiting and misguided. Unsurprisingly, in recent years, the field has witnessed …
Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of Interactivity
DC Hernandez-Bocanegra, J Ziegler - ACM Transactions on Interactive …, 2023 - dl.acm.org
Explaining system-generated recommendations based on user reviews can foster users'
understanding and assessment of the recommended items and the recommender system …
understanding and assessment of the recommended items and the recommender system …
Rethink data-driven human behavior prediction: A Psychology-powered Explainable Neural Network
Human behavior prediction is a rapidly evolving field with numerous applications in various
domains. The rapid development of machine learning facilitates research on data-driven …
domains. The rapid development of machine learning facilitates research on data-driven …
User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
R Nimmo, M Constantinides, K Zhou… - Proceedings of the CHI …, 2024 - dl.acm.org
As Artificial Intelligence (AI) becomes ubiquitous, the need for Explainable AI (XAI) has
become critical for transparency and trust among users. A significant challenge in XAI is …
become critical for transparency and trust among users. A significant challenge in XAI is …