Personne
Pearl Pu Faltings
Publications associées (104)
Recommender systems: Trends and frontiers
Recommender systems (RSs), as used by Netflix, YouTube, or Amazon, are one of the most compelling success stories of AI. Enduring research activity in this area has led to a continuous improvement of recommendation techniques over the years, and today's RS ...
AMER ASSOC ARTIFICIAL INTELL2022PEACE: A Model of Key Social and EmotionalQualities of Conversational Chatbots
Pearl Pu Faltings, Ekaterina Svikhnushina
Open-domain chatbots engage with users in natural conversations to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of a chatbot most correspond to users' expecta ...
ASSOC COMPUTING MACHINERY2022Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition
Pearl Pu Faltings, Yubo Xie, Junze Li
Humor recognition has been widely studied as a text classification problem using data-driven approaches. However, most existing work does not examine the actual joke mechanism to understand humor. We break down any joke into two distinct components: the se ...
ASSOC COMPUTATIONAL LINGUISTICS-ACL2021User Expectations of Conversational Chatbots Based on Online Reviews
Pearl Pu Faltings, Ekaterina Svikhnushina, Alexandru Placinta
Open-domain chatbots that can engage in a conversation on any topic received significant attention in the last several years, which opened opportunities for studying user interaction with them. Drawing from reviews of chatbots posted on Google Play, we exp ...
ASSOC COMPUTING MACHINERY2021Identifying a Motivational Profile for Older Adults Towards Increased Physical Activity
Personalizing behavior change (BC) strategies to motivate increased physical activity is especially important for the diverse older adult population. However, there is a lack of knowledge about how to profile older users to most effectively personalize BC ...
2021Key Qualities of Conversational Chatbots - the PEACE Model
Pearl Pu Faltings, Ekaterina Svikhnushina
Open-domain chatbots engage in natural conversations with the user to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of such chatbots most correspond to users' ...
ASSOC COMPUTING MACHINERY2021Understanding intergenerational fitness tracking practices: 12 suggestions for design
The paper presents a qualitative study to explore the use of fitness trackers and their social functions in intergenerational settings. The study covered three phases of semi-structured interviews with older and younger adults during individual and interge ...
SPRINGERNATURE2021p Recommender systems: Past, present, future
The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly ...
AMER ASSOC ARTIFICIAL INTELL2021Recommender System for Responsive Engagement of Senior Adults in Daily Activities
Pearl Pu Faltings, Igor Kulev, Yuan Lu
Understanding and predicting how people change their behavior after an intervention from time series data is an important task for health recommender systems. This task is especially challenging when the time series data is frequently sampled. In this pape ...
SPRINGER INTERNATIONAL PUBLISHING AG2020HealthSit: Designing Posture-Based Interaction to Promote Exercise during Fitness Breaks
Pearl Pu Faltings, Yu Chen, Yuan Lu
This research was motivated by a desire to help office workers change their sedentary behavior because a prolonged sedentary posture increases the risks of developing musculoskeletal injuries and chronic diseases, thus threatening their physical and psycho ...
TAYLOR & FRANCIS INC2019