Emotions and Personality in Personalized Services: Models, Evaluation and Applications

Front Cover
Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir
Springer, Jul 13, 2016 - Computers - 400 pages
Personalization is ubiquitous from search engines to online-shopping websites helping us find content more efficiently and this book focuses on the key developments that are shaping our daily online experiences. With advances in the detection of end users’ emotions, personality, sentiment and social signals, researchers and practitioners now have the tools to build a new generation of personalized systems that will really understand the user’s state and deliver the right content.

With leading experts from a vast array of domains from user modeling, mobile sensing and information retrieval to artificial intelligence, human-computer interaction (HCI) social computing and psychology, a broad spectrum of topics are covered. From discussing psychological theoretical models and exploring state-of-the-art methods for acquiring emotions and personality in an unobtrusive way, as well as describing how these concepts can be used to improve various aspects of the personalization process and chapters that discuss evaluation and privacy issues.

Emotions and Personality in Personalized Systems will help aid researchers and practitioners develop and evaluate user-centric personalization systems that take into account the factors that have a tremendous impact on our decision-making – emotions and personality.

 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

1 Introduction to Emotions and Personality in Personalized Systems
3
2 Social Emotions A Challenge for Sentiment Analysis and User Models
13
3 Models of Personality
35
Part II Acquisition and Corpora
55
4 Acquisition of Affect
57
5 Acquisition of Personality
81
6 Computing Technologies for Social Signals
101
7 Sentiment Analysis in Social Streams
119
11 Personality and Recommendation Diversity
201
12 Affective Music Information Retrieval
227
An Affective Computing Perspective
263
14 EmotionBased Matching of Music to Places
287
15 Emotions in ContextAware Recommender Systems
311
Emotional and Color Perception of Music
327
Part IV Evaluation and Privacy
356
17 Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations
357

8 MobileBased Experience Sampling for Behaviour Research
141
9 Affective and Personality Corpora
163
Part III Applications
180
10 Modeling Users Social Attitude in a Conversational System
181
18 Reflections on the Design Challenges Prompted by AffectAware Socially Assistive Robots
377
Index
397
Copyright

Other editions - View all

Common terms and phrases