DOI

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.
Язык оригиналаанглийский
Название основной публикацииSpeech and Computer
Подзаголовок основной публикации20th International Conference, SPECOM 2018, Leipzig, Germany, September 18–22, 2018, Proceedings
ИздательSpringer Nature
Страницы656-666
ISBN (электронное издание)978-3-319-99579-3
ISBN (печатное издание)978-3-319-99578-6
DOI
СостояниеОпубликовано - 2018
Событие20th International Conference on Speech and Computer - Leipzig, Германия
Продолжительность: 18 сен 201822 сен 2018

Серия публикаций

НазваниеLecture Notes in Artificial Intelligence
ИздательSpringer Nature
Том11096
ISSN (печатное издание)0302-9743

конференция

конференция20th International Conference on Speech and Computer
Сокращенное названиеSPECOM 2018
Страна/TерриторияГермания
ГородLeipzig
Период18/09/1822/09/18

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 71303726