The Library
Exploring Pointer Assisted Reading (PAR) : using mouse movements to analyze web users’ reading behaviors and patterns
Tools
Kirsh, Ilan and Joy, Mike (2020) Exploring Pointer Assisted Reading (PAR) : using mouse movements to analyze web users’ reading behaviors and patterns. In: HCI International 2020 : 22nd International Conference On Human-Computer Interaction, Copenhagen, Denmark, 19–24 Jul 2020. Published in: HCI International 2020 - Late Breaking Papers : Multimodality and Intelligence : 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, 12424 pp. 156-173. ISBN 9783030601164. doi:10.1007/978-3-030-60117-1_12 ISSN 0302-9743.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1007/978-3-030-60117-1_12
Abstract
This paper explores Pointer Assisted Reading (PAR), a reading behavior consisting of moving the mouse cursor (also known as the pointer) along sentences to mark the reading position, similarly to finger-pointing when reading a book. The study shows that PAR is an uncommon reading technique and examines methods to extract and visualize the PAR activity of web users. An analysis shows that PAR data of real users reveal reading properties, such as speed, and reading patterns, such as skipping and rereading. Eye-tracking is usually used to analyze user reading behaviors. This paper advocates for considering PAR-tracking as a feasible alternative to eye-tracking on websites, as tracking the eye gaze of ordinary web users is usually impractical. PAR data might help in spotting quality issues in the textual content of a website, such as unclear text or content that might not interest the website users, based on analyzing reading properties and patterns (e.g. reading speed, skipping, and rereading). Accordingly, PAR-tracking may have various practical applications in a wide range of fields, and particularly in educational technology, e-learning, and web analytics.
Item Type: | Conference Item (Paper) | ||||||||
---|---|---|---|---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Series Name: | Lecture Notes in Computer Science | ||||||||
Journal or Publication Title: | HCI International 2020 - Late Breaking Papers : Multimodality and Intelligence : 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings | ||||||||
Publisher: | Springer | ||||||||
ISBN: | 9783030601164 | ||||||||
ISSN: | 0302-9743 | ||||||||
Book Title: | HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence | ||||||||
Official Date: | 2020 | ||||||||
Dates: |
|
||||||||
Volume: | 12424 | ||||||||
Page Range: | pp. 156-173 | ||||||||
DOI: | 10.1007/978-3-030-60117-1_12 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Conference Paper Type: | Paper | ||||||||
Title of Event: | HCI International 2020 : 22nd International Conference On Human-Computer Interaction | ||||||||
Type of Event: | Conference | ||||||||
Location of Event: | Copenhagen, Denmark | ||||||||
Date(s) of Event: | 19–24 Jul 2020 | ||||||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |