Interaction for Information Discovery Empowering Information Consumers

Fionn Murtagh; Kurt Englmeier

doi:10.1007/978-3-319-40349-6_24

Interaction for Information Discovery Empowering Information Consumers

Fionn Murtagh, Kurt Englmeier

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	Human Interface and the Management of Information
Subtitle of host publication	Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings
Publisher	Springer Verlag
Pages	252-262
Number of pages	11
ISBN (Print)	9783319403489
DOIs	https://doi.org/10.1007/978-3-319-40349-6_24
Publication status	Published - 21 Jun 2016
Externally published	Yes
Event	18th International Conference on Human-Computer Interaction - The Westin Harbour Castle Hotel, Toronto, Canada Duration: 17 Jul 2016 → 22 Jul 2016 Conference number: 18 http://2016.hci.international/ (Link to Conference Website)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9734
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Human-Computer Interaction
Abbreviated title	HCI 2016
Country/Territory	Canada
City	Toronto
Period	17/07/16 → 22/07/16
Internet address	http://2016.hci.international/ (Link to Conference Website)

Access to Document

10.1007/978-3-319-40349-6_24Licence: Unspecified

Cite this

Murtagh, F., & Englmeier, K. (2016). Interaction for Information Discovery Empowering Information Consumers. In Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings (pp. 252-262). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9734). Springer Verlag. https://doi.org/10.1007/978-3-319-40349-6_24

Murtagh, Fionn ; Englmeier, Kurt. / Interaction for Information Discovery Empowering Information Consumers. Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings. Springer Verlag, 2016. pp. 252-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

keywords = "Collaborative work, Data science, Human-centred information management, Information discovery, Information extraction, Interaction design, Participatory design, Pattern languages",

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Murtagh, F & Englmeier, K 2016, Interaction for Information Discovery Empowering Information Consumers. in Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9734, Springer Verlag, pp. 252-262, 18th International Conference on Human-Computer Interaction, Toronto, Ontario, Canada, 17/07/16. https://doi.org/10.1007/978-3-319-40349-6_24

Interaction for Information Discovery Empowering Information Consumers. / Murtagh, Fionn; Englmeier, Kurt.

Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings. Springer Verlag, 2016. p. 252-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9734).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Murtagh, Fionn

AU - Englmeier, Kurt

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PY - 2016/6/21

Y1 - 2016/6/21

N2 - 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.

AB - 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.

KW - Collaborative work

KW - Data science

KW - Human-centred information management

KW - Information discovery

KW - Information extraction

KW - Interaction design

KW - Participatory design

KW - Pattern languages

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Murtagh F, Englmeier K. Interaction for Information Discovery Empowering Information Consumers. In Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016, Proceedings. Springer Verlag. 2016. p. 252-262. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-40349-6_24

Interaction for Information Discovery Empowering Information Consumers

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