%0 Conference Proceedings
%T Text Priming - Effects of Text Visualizations on Readers Prior to Reading
%+ University of Stuttgart
%+ Leibniz-Institute for the Social Sciences [Mannheim] (GESIS)
%A Dingler, Tilman
%A Kern, Dagmar
%A Angerbauer, Katrin
%A Schmidt, Albrecht
%Z Part 5: Personalisation and Visualisation
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Bombay, India
%Y Regina Bernhaupt
%Y Girish Dalvi
%Y Anirudha Joshi
%Y Devanuj K. Balkrishan
%Y Jacki O'Neill
%Y Marco Winckler
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2017
%V LNCS-10515
%N Part III
%P 345-365
%8 2017-09-25
%D 2017
%R 10.1007/978-3-319-67687-6_23
%K Priming
%K Reading interfaces
%K Comprehension
%K Text visualization
%Z Computer Science [cs]Conference papers
%X Living in our information society poses the challenge of having to deal with a plethora of information. While most content is represented through text, keyword extraction and visualization techniques allow the processing and adjustment of text presentation to the readers’ individual requirements and preferences. In this paper, we investigate four types of text visualizations and their feasibility to give readers an overview before they actually engage with a text: word clouds, highlighting, mind maps, and image collages. In a user study with 50 participants, we assessed the effects of such visualizations on reading comprehension, reading time, and subjective impressions. Results show that (1) mind maps best support readers in getting the gist of a text, (2) they also give better subjective impressions on text content and structure, and (3) highlighting keywords in a text before reading helps to reduce reading time. We discuss a set of guidelines to inform the design of automated systems for creating text visualizations for reader support.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01717225/document
%2 https://inria.hal.science/hal-01717225/file/421764_1_En_23_Chapter.pdf
%L hal-01717225
%U https://inria.hal.science/hal-01717225
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-10515