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Emotions and Personality in Personalized Services

Part of the Human–Computer Interaction Series Book Series

Editors: Tkalčič, Marko; De Carolis, Berardina; de Gemmis, Marco; Odić, Ante; Košir, Andrej

DOI: 10.1007/978-3-319-31413-6

ISBN: 978-3-319-31411-2

Publisher: Springer International Publishing - Springer Journals

Jul 14, 2016

1 - 10 of 18 Chapters

Available

Introduction to Emotions and Personality in Personalized Systems

Tkalčič, Marko; De Carolis, Berardina; de Gemmis, Marco; Odić, Ante; Košir, Andrej

Pages: 3 –11

[Personalized systems traditionally used the traces of user interactions to learn the user model, which was used by sophisticated algorithms to choose the appropriate content for the user and the situation. Recently, new types of user models started to emerge, which take into account more...
Available

Social Emotions. A Challenge for Sentiment Analysis and User Models

D’Errico, Francesca; Poggi, Isabella

Pages: 13 –34

[The work overviews the theoretical models of emotions mainly used by computer scientists in the area of user modeling and sentiment analysis. Central in this regard are the dimensional models in which the body side is crucial, and the cognitive ones in which the evaluation processes give rise to...
Available

Models of Personality

Matz, Sandra; Chan, Yin Wah Fiona; Kosinski, Michal

Pages: 35 –54

[In this chapter, we introduce and discuss some of the most important and widely used models of personality. Focusing on trait theories, we first give a brief overview of the history of personality research and assessment. We then move on to discuss some of the most prominent trait models of the...
Available

Acquisition of Affect

Schuller, Björn W.

Pages: 57 –80

[This chapter gives a brief overview on the state of the art in emotion and affect acquisition for various modalities and representation forms—mainly discrete and continuous. Its main content covers a survey of existing computational models and tools (i.e. off-the-shelf solutions), before looking...
Available

Acquisition of Personality

Finnerty, Ailbhe N.; Lepri, Bruno; Pianesi, Fabio

Pages: 81 –99

[This chapter provides an overview of the methods that can be used to automatically acquire information about an individual’s personality. In particular, we focus our attention on the sources of data (e.g. text, audio, video, mobile phones, wearable sensors, etc.) and the features used to...
Available

Computing Technologies for Social Signals

Vinciarelli, Alessandro

Pages: 101 –118

[Social signal processing is the domain aimed at modelling, analysis and synthesis of nonverbal communication in human–human and human–machine interactions. The core idea of the field is that common nonverbal behavioural cues—facial expressions, vocalizations, gestures, postures, etc—are the...
Available

Sentiment Analysis in Social Streams

Saif, Hassan; Ortega, F. Javier; Fernández, Miriam; Cantador, Iván

Pages: 119 –140

[In this chapter, we review and discuss the state of the art on sentiment analysis in social streams—such as web forums, microblogging systems, and social networks, aiming to clarify how user opinions, affective states, and intended emotional effects are extracted from user generated content, how...
Available

Mobile-Based Experience Sampling for Behaviour Research

Pejovic, Veljko; Lathia, Neal; Mascolo, Cecilia; Musolesi, Mirco

Pages: 141 –161

[The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person’s psychological state. This, in turn, opens up new opportunities for understanding behaviour at a...
Available

Affective and Personality Corpora

Odić, Ante; Košir, Andrej; Tkalčič, Marko

Pages: 163 –178

[In this chapter we describe publicly available datasets with personality and affective parameters relevant to the research questions covered by this book. We briefly describe the available data, acquisition procedure, and other relevant details of these datasets. There are three datasets...
Available

Modeling User’s Social Attitude in a Conversational System

Baur, Tobias; Schiller, Dominik; André, Elisabeth

Pages: 181 –199

[With the growing number of conversational systems that find their way in our daily life, new questions and challenges arise. Even though natural conversation with agent-based systems has been improved in the recent years, e.g., by better speech recognition algorithms, they still lack the ability...

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