One does not Simply RSVP: Mental Workload to Select Speed Reading Parameters using Electroencephalography

要旨

Rapid Serial Visual Presentation (RSVP) has gained popularity as a method for presenting text on wearable devices with limited screen space. Nonetheless, it remains unclear how to calibrate RSVP display parameters, such as spatial alignments or presentation rates, to suit the reader's information processing ability at high presentation speeds. Existing methods rely on comprehension and subjective workload scores, which are influenced by the user's knowledge base and subjective perception. Here, we use electroencephalography (EEG) to directly determine how individual information processing varies with changes in RSVP display parameters. Eighteen participants read text excerpts with RSVP in a repeated-measures design that manipulated the Text Alignment and Presentation Speed of text representation. We evaluated how predictive EEG metrics were of gains in reading speed, subjective workload, and text comprehension. We found significant correlations between EEG and increasing Presentation Speeds and propose how EEG can be used for dynamic selection of RSVP parameters.

キーワード
Cognitive Load
RSVP
Electroencephalography
Workload-Aware Interfaces
Working Memory
著者
Thomas Kosch
Ludwig Maximilian University of Munich, Munich, Germany
Albrecht Schmidt
Ludwig Maximilian University of Munich, Munich, Germany
Simon Thanheiser
Ludwig Maximilian University of Munich, Munich, Germany
Lewis L. Chuang
Ludwig Maximilian University of Munich, Munich, Germany
DOI

10.1145/3313831.3376766

論文URL

https://doi.org/10.1145/3313831.3376766

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Text Entry, tablets, reading & writing

Paper session
311 KAUA'I
5 件の発表
2020-04-28 23:00:00
2020-04-29 00:15:00
日本語まとめ
読み込み中…