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SAL Database (Sensitive Artificial Listener)

Overview
Description:

A database of induced emotion using an interactive artificial personality. The data is labelled for emotion using Feeltrace. (See Toolbox Labelling Tool)

Contact:

c.cox@qub.ac.uk

Language:

English

Papers:

IST-2000-29319, D09

Access:

Data available on CD. Contact Cate Cox: c.cox@qub.ac.uk (outdated)

Fact Sheet
Categorized by modality:
AV
Ethical Clearance Issues:

Release permission sought from all participants

Design/Structure:

Dataset with data analysis

Purpose of collection:

To induce and collect samples of emotionally coloured discourse.

Format:

.mpeg files, .wav files

Elicitation method:

Induced: subjects talk to artificial listener & emotional states are changed by interaction with different personalities of the listener

Nature of material:

Interactive discourse, Subjects unscripted, Machine scripted,Pilot Study 20 subjects; 4 subjects x2sessions

Size:

Approx 10 hours

Type of emotional description:

Dimensional labelling, Categorical labelling

How was emotion determined?:

FEELTRACE (See Toolbox-labelling tool for details)

Emotional content:

Wide range of emotions/emotion related states but not very intense.

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