title: The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences.
abstract: OBJECTIVE
  The development of ecologically valid procedures for collecting reliable and unbiased emotional data towards computer interfaces with social and affective intelligence targeting patients with mental disorders.
  
  
  METHODS
  Following its development, presented with, the Athens Emotional States Inventory (AESI) proposes the design, recording and validation of an audiovisual database for five emotional states: anger, fear, joy, sadness and neutral. The items of the AESI consist of sentences each having content indicative of the corresponding emotion. Emotional content was assessed through a survey of 40 young participants with a questionnaire following the Latin square design. The emotional sentences that were correctly identified by 85% of the participants were recorded in a soundproof room with microphones and cameras. A preliminary validation of AESI is performed through automatic emotion recognition experiments from speech.
  
  
  RESULTS
  The resulting database contains 696 recorded utterances in Greek language by 20 native speakers and has a total duration of approximately 28 min. Speech classification results yield accuracy up to 75.15% for automatically recognizing the emotions in AESI.
  
  
  CONCLUSIONS
  These results indicate the usefulness of our approach for collecting emotional data with reliable content, balanced across classes and with reduced environmental variability.
authors: University of Southern California, Ming Hsieh Department of Electrical Engineering , Los Angeles, CA , USA.
authors: Theodora
authors: T
authors: Chaspari
authors: Constantin
authors: C
authors: Soldatos
authors: Petros
authors: P
authors: Maragos
mesh_terms: D000328:Adult; D003625:Data Collection / Q000379:methods; D016208:Databases, Factual; D004644:Emotions / Q000502:physiology*; D006115:Greece; D006801:Humans; D007802:Language; D009323:Natural Language Processing; D055815:Young Adult
keywords: automatic data processing; data collection; expressed emotion; factual databases; questionnaires