The paper explores the relationship between expert manual annotation of German spontaneous speech and annotator’s individuality with regard to personality traits, working memory capacity and processing speed. The research question is whether there is a relationship between the annotated sentence length and individual traits of the annotator. The participants were asked to detect sentence boundaries in the transcripts of German spontaneous monologues and to perform several test tasks. Personality traits were examined using the Five Factor Personality Inventory. Working memory capacity was measured through reading span and operation span tasks. To compute processing speed we used Letter Comparison and Pattern Comparison tasks. Linear mixed modelling revealed the significant effect of the personality trait “Neuroticism” on the length of annotated sentences. Contrary to the initial hypothesis, working memory capacity of annotators was not related to sentence length. Processing speed did not have any effect on sentence length either.
Original languageEnglish
Title of host publicationSpeech and Computer
Subtitle of host publication20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings
PublisherSpringer Nature
Pages656-666
ISBN (Electronic)978-3-319-99579-3
ISBN (Print)978-3-319-99578-6
DOIs
StatePublished - 2018
Event20th International Conference on Speech and Computer - Leipzig, Germany
Duration: 18 Sep 201822 Sep 2018

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer Nature
Volume11096
ISSN (Print)0302-9743

Conference

Conference20th International Conference on Speech and Computer
Abbreviated titleSPECOM 2018
Country/TerritoryGermany
CityLeipzig
Period18/09/1822/09/18

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Annotation, German, Personality, Segmentation, Sentence boundary detection, Spontaneous speech, Working memory capacity

ID: 71303726