11:15   Oral Session 5-GZ – Affective Computing: Tools& Applications 1
Chair: Jianhua Tao
11:15
25 mins 		A Tool for Polarity Classification of Human Affect from Panel Group Texts
Manfred Klenner, Stefanos Petrakis, Angela Fahrni
Abstract: We introduce an explorative tool for affect analysis from texts. Rather than the full range of emotions, feelings, and sentiment, our system is currently restricted to the positive or negative polarity of phrases and sentences. It analyses the input texts with the aid of a affect lexicon that specifies among others the prior polarity (positive or negative) of words. A chunker is used to determine phrases that are the basis for a compositional treatment of phraselevel polarity assignment. In our current experiments we focus on phrases that are targeted towards persons, be it the writer (I, my, me, ..), the social group including the writer (we, our, ..) or the reader (you, your, ..). We evaluate our system on the basis of 35 texts taken from a panel group called ’I battle depression’
11:40
25 mins 		ElectroEmotion – A Tool for Producing Emotional Corpora Collaboratively
Lassi A Liikkanen, Giulio Jacucci, Matti Helin
Abstract: Emotion-aware applications supporting natural interaction are currently still a vision. One difficulty in developing these applications is the lack of multimodal corpora suitable for multiple use contexts, such as public spaces. Here, we introduce ElectroEmotion, a research tool prototype for collecting vocal and gestural corpora in novel contexts collaboratively. ElectroEmotion concept includes a public walk-up-and-use interface that allows users to produce multimodal expressions in an interactive environment. We describe the design of this system and report an experimental study, which evaluated the importance of inducting emotion and social influences in corpus acquisition. This preliminary investigation involved 12 users. By performing a video-based interaction analysis, we found that the participants demonstrated spontaneous multimodal activity and more distinctively emotional expressions in response to the emotion induction procedure. Social learning through examples provided by the experimenter influenced the way the subjects interacted. From these observations, we believe that the proposed concept could be developed into a functional system that can help to produce emotional corpora.
12:05
25 mins 		Requirements and Software Framework for Adaptive Multimodal Affect Recognition
Elena Vildjiounaite, Vesa Kyllönen, Olli Vuorinen, Satu-Marja Mäkelä, Tommi Keränen, Markus Niiranen, Jouni Knuutinen, Johannes Peltola
Abstract: This work presents a software framework for real time multimodal affect recognition. The framework supports categorical emotional models and simultaneous classification of emotional states along different dimensions. The framework also allows to incorporate diverse approaches to multimodal fusion, proposed by the current state of the art, as well as to adapt to context-dependency of expressing emotions and to different application requirements. The results of using the framework in audio-video based emotion recognition of an audience of different shows (this is a useful information because emotions of co-located people affect each other) confirm the capability of the framework to provide desired functionalities conveniently and demonstrate that use of contextual information increases recognition accuracy.