Resourceful interaction in information discovery

Giulio Jacucci

doi:10.1109/ICDEW.2016.7495639

Resourceful interaction in information discovery

^*Corresponding author for this work

University of Helsinki

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Resourceful interaction is proposed as a paradigm in which humans and computers mutually make available resources to deliver unprecedented performance, engagement and overall user experience in discovering information. Examples are reported from novel user interfaces for discovering information that exemplify Resourceful Interaction: an interactive model of intent represented by keywords used to direct exploratory search, entity based parallel search streams, eye tracking guidance combined with multitouch input in interactive visualizations. The examples demonstrate how providing access and manipulation of computational constructs such as the intent model constitute an important resource for users in information exploration. Correspondingly providing implicit signals of the user to the retrieval and visualization system can provide important resources to achieve fluid and symbiotic information discovery.

Original language	English
Title of host publication	2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016
Publisher	IEEE
Pages	161-164
Number of pages	4
ISBN (Electronic)	9781509021086
DOIs	https://doi.org/10.1109/ICDEW.2016.7495639
Publication status	Published - 20 Jun 2016
MoE publication type	A4 Conference publication
Event	International Conference on Data Engineering - Seoul, Korea, Republic of Duration: 13 Apr 2015 → 17 Apr 2015 Conference number: 31

Conference

Conference	International Conference on Data Engineering
Abbreviated title	ICDE
Country/Territory	Korea, Republic of
City	Seoul
Period	13/04/2015 → 17/04/2015

Keywords

information discovery
information retrieval
multimodal interaction
resourceful interaction
user interfaces

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10.1109/ICDEW.2016.7495639

Cite this

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title = "Resourceful interaction in information discovery",

abstract = "Resourceful interaction is proposed as a paradigm in which humans and computers mutually make available resources to deliver unprecedented performance, engagement and overall user experience in discovering information. Examples are reported from novel user interfaces for discovering information that exemplify Resourceful Interaction: an interactive model of intent represented by keywords used to direct exploratory search, entity based parallel search streams, eye tracking guidance combined with multitouch input in interactive visualizations. The examples demonstrate how providing access and manipulation of computational constructs such as the intent model constitute an important resource for users in information exploration. Correspondingly providing implicit signals of the user to the retrieval and visualization system can provide important resources to achieve fluid and symbiotic information discovery.",

keywords = "information discovery, information retrieval, multimodal interaction, resourceful interaction, user interfaces",

author = "Giulio Jacucci",

year = "2016",

month = jun,

day = "20",

doi = "10.1109/ICDEW.2016.7495639",

language = "English",

pages = "161--164",

booktitle = "2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016",

publisher = "IEEE",

address = "United States",

note = "International Conference on Data Engineering , ICDE ; Conference date: 13-04-2015 Through 17-04-2015",

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N1 - Conference code: 31

PY - 2016/6/20

Y1 - 2016/6/20

N2 - Resourceful interaction is proposed as a paradigm in which humans and computers mutually make available resources to deliver unprecedented performance, engagement and overall user experience in discovering information. Examples are reported from novel user interfaces for discovering information that exemplify Resourceful Interaction: an interactive model of intent represented by keywords used to direct exploratory search, entity based parallel search streams, eye tracking guidance combined with multitouch input in interactive visualizations. The examples demonstrate how providing access and manipulation of computational constructs such as the intent model constitute an important resource for users in information exploration. Correspondingly providing implicit signals of the user to the retrieval and visualization system can provide important resources to achieve fluid and symbiotic information discovery.

AB - Resourceful interaction is proposed as a paradigm in which humans and computers mutually make available resources to deliver unprecedented performance, engagement and overall user experience in discovering information. Examples are reported from novel user interfaces for discovering information that exemplify Resourceful Interaction: an interactive model of intent represented by keywords used to direct exploratory search, entity based parallel search streams, eye tracking guidance combined with multitouch input in interactive visualizations. The examples demonstrate how providing access and manipulation of computational constructs such as the intent model constitute an important resource for users in information exploration. Correspondingly providing implicit signals of the user to the retrieval and visualization system can provide important resources to achieve fluid and symbiotic information discovery.

KW - information discovery

KW - information retrieval

KW - multimodal interaction

KW - resourceful interaction

KW - user interfaces

UR - http://www.scopus.com/inward/record.url?scp=84980436395&partnerID=8YFLogxK

U2 - 10.1109/ICDEW.2016.7495639

DO - 10.1109/ICDEW.2016.7495639

M3 - Conference article in proceedings

AN - SCOPUS:84980436395

SP - 161

EP - 164

BT - 2016 IEEE 32nd International Conference on Data Engineering Workshops, ICDEW 2016

PB - IEEE

T2 - International Conference on Data Engineering

Y2 - 13 April 2015 through 17 April 2015

ER -

Resourceful interaction in information discovery

Abstract

Conference

Keywords

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