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Pearl Pu Faltings

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Publications associées (65)

Can Fitness Trackers Help Diabetic and Obese Users Make and Sustain Lifestyle Changes?

Pearl Pu Faltings, Yu Chen

Diabetic and obese users given a Fitbit fitness tracker for seven months identified the device's playfulness, practicality, persuasiveness, personalization, and privacy as the top motivators for its use. These results provide insights into designing wearab ...

Ieee Computer Soc2017

Dystemo: Distant Supervision Method for Multi-Category Emotion Recognition in Tweets

Pearl Pu Faltings, Valentina Sintsova

Emotion recognition in text has become an important research objective. It involves building classifiers capable of detecting human emotions for a specific application, for example, analyzing reactions to product launches, monitoring emotions at sports eve ...

Assoc Computing Machinery2016

Peer Influence on the Engagement of Fitness Tracker Usage: A Diabetes and Obesity Study

Pearl Pu Faltings, Yu Chen

Maintaining a physically active lifestyle is important for diabetic and obese patients, but how to motivate them to exercise and engage them in the long run remains a challenging issue. We aim to motivate their activities using fitness trackers and prevent ...

Ieee2016

Predictors of Life Satisfaction based on Daily Activities from Mobile Sensor Data

Pearl Pu Faltings, Jiyong Zhang, Onur Yürüten

In recent years much research work has been dedicated to detecting user activity patterns from sensor data such as location, movement and proximity. However, how daily activities are correlated to people's happiness (such as their satisfaction from work an ...

2014

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Pearl Pu Faltings, Valentina Sintsova, Claudiu-Cristian Musat

Each tweet is limited to 140 characters. This constraint surprisingly makes Twitter a more spontaneous platform to express our emotions. Detecting emotions and correctly classifying them automatically is an increasingly important task if we want to underst ...

2014

Experiments on user experiences with recommender interfaces

Pearl Pu Faltings, Li Chen

Recommender systems have been increasingly adopted as personalisation services in e-commerce. They facilitate users to locate items which they would be interested in viewing or purchasing. However, most studies have emphasised on the algorithm's performanc ...

Taylor & Francis Ltd2014

Prediction of Helpful Reviews using Emotions Extraction

Pearl Pu Faltings, Lionel Jérémie Martin

Reviews keep playing an increasingly important role in the decision process of buying products and booking hotels. However, the large amount of available information can be confusing to users. A more succinct interface, gathering only the most helpful revi ...

2014

A :) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets

Boi Faltings, Pearl Pu Faltings, Marina Boia, Claudiu-Cristian Musat

Emoticons are widely used to express positive or negative sentiment on Twitter. We report on a study with live users to determine whether emoticons are used to merely emphasize the sentiment of tweets, or whether they are the main elements carrying the sen ...

IEEE2013

Evaluating recommender systems from the user's perspective: survey of the state of the art

Pearl Pu Faltings, Rong Hu, Li Chen

A recommender system is a Web technology that proactively suggests items of interest to users based on their objective behavior or explicitly stated preferences. Evaluations of recommender systems (RS) have traditionally focused on the performance of algor ...

Springer Netherlands2012

Critiquing-based recommenders: survey and emerging trends

Pearl Pu Faltings, Li Chen

Critiquing-based recommender systems elicit users' feedback, called critiques, which they made on the recommended items. This conversational style of interaction is in contract to the standard model where users receive recommendations in a single interacti ...

2012

Preface to the special issue on user interfaces for recommender systems

Pearl Pu Faltings

2012

A User-Centric Evaluation Framework for Recommender Systems

Pearl Pu Faltings, Rong Hu, Li Chen

This research was motivated by our interest in understanding the criteria for measuring the success of a recommender system from users’ point view. Even though existing work has suggested a wide range of criteria, the consistency and validity of the combin ...

2011

Eye-Tracking Product Recommenders' Usage

Pearl Pu Faltings, Nicolas Jones

Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However, few studies have tried to understand how this technology has influenced the ...

ACM2010

Experiments on the Preference-Based Organization Interface in Recommender Systems

Pearl Pu Faltings, Li Chen

As e-commerce has evolved into its second generation, where the available products are becoming more complex and their abundance is almost unlimited, the task of locating a desired choice has become too difficult for the average user. Therefore, more effor ...

2010

How Users Perceive and Appraise Personalized Recommendations

Pearl Pu Faltings, Nicolas Jones, Li Chen

Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone as far as using implicit feedback indicators to understand users' interests. More tha ...

Springer2009

Interaction design guidelines on critiquing-based recommender systems

Pearl Pu Faltings, Li Chen

A critiquing-based recommender system acts like an artificial salesperson. It engages users in a conversational dialog where users can provide feedback in the form of critiques to the sample items that were shown to them. The feedback, in turn, enables the ...

Springer Netherlands2009

User-Involved Preference Elicitation for Product Search and Recommender Systems

Pearl Pu Faltings, Li Chen

We address user system interaction issues in product search and recommender systems: how to help users select the most preferential item from a large collection of alternatives. As such systems must crucially rely on an accurate and complete model of user ...

2008

A Cross-Cultural User Evaluation of Product Recommender Interfaces

Pearl Pu Faltings, Li Chen

We present a cross-cultural user evaluation of an organization-based product recommender interface, by comparing it with the traditional list view. The results show that it performed significantly better, for all study participants, in improving on their c ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2008

A Visual Interface for Critiquing-based Recommender Systems

Pearl Pu Faltings, Nicolas Jones, Jiyong Zhang

Critiquing-based recommender systems provide an efficient way for users to navigate through complex product spaces even if they are not familiar with the domain details in e-commerce environments. While recent research has mainly concentrated on methods fo ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2008

Preference-based search with adaptive recommendations

Boi Faltings, Pearl Pu Faltings, Paolo Viappiani

Conversational recommenders can help users find their most preferred item among a large range of options, a task that we call preference-based search. ...

2008

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