Interaction for Information Discovery Empowering Information Consumers

Fionn Murtagh, Kurt Englmeier

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

1 Citation (Scopus)


Information Discovery (ID) is predominantly addressed by approaches from Artificial Intelligence (AI). Automatic ID scans large amounts of data and identifies as many potential candidates for discovery as possible. Mass discovery may in fact serve the needs of many information consumers. However, that does not mean that it addresses a broad range of user interests, too. Economies of scale urge the development of automatic tools to address user needs only from a certain critical mass. Hence, many user needs remain unaddressed. This is where HCI comes into play and provides fundamentals for pattern languages that empower information consumers to stage their own information discovery. With this paper we want to draw attention to an approach that is developed around the paradigm of human-centered interaction design. We present an Open Discovery Language that can completely be controlled by information consumers.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationInformation, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783319403489
Publication statusPublished - 21 Jun 2016
Externally publishedYes
Event18th International Conference on Human-Computer Interaction - The Westin Harbour Castle Hotel, Toronto, Canada
Duration: 17 Jul 201622 Jul 2016
Conference number: 18 (Link to Conference Website)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference18th International Conference on Human-Computer Interaction
Abbreviated titleHCI 2016
Internet address


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