Focus Paragraph Detection for Online Zero-Effort Queries: Lessons Learned from Eye-Tracking Data

Christin Seifert, Annett Mitschick, Jörg Schlötterer, Raimund Dachselt

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
15 Downloads (Pure)

Abstract

In order to realize zero-effort retrieval in a web-context, it is crucial to identify the part of the web page the user is focusing on. In this paper, we investigate the identification of focus paragraphs in web pages. Starting from a naive baseline for paragraph and focus paragraph detection, we conducted an eye-tracking study to evaluate the most promising features. We found that single features (mouse position, paragraph position, mouse activity) are less predictive for gaze which confirms findings from other studies. The results indicate that an algorithm for focus paragraph detection needs to incorporate a weighted combination of those features as well as additional features, e.g. semantic context derived from the user's web history.
Original languageEnglish
Title of host publicationCHIIR'17
Subtitle of host publication Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval
PublisherACM Press
Pages301-304
Number of pages4
ISBN (Print)978-1-4503-4677-1
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventConference Human Information Interaction and Retrieval, CHIIR 2017 - Oslo, Norway
Duration: 7 Mar 201711 Mar 2017
http://sigir.org/chiir2017/

Conference

ConferenceConference Human Information Interaction and Retrieval, CHIIR 2017
Abbreviated titleCHIIR 2017
Country/TerritoryNorway
CityOslo
Period7/03/1711/03/17
Internet address

Keywords

  • Eye tracking
  • Focus paragraph detection
  • Zero-effort queries

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