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Douglas Dowie

dblp:33/11145 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2013
0009-0004-1322-0798ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 4 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Information retrieval · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
interactive information retrieval
0.322012
MaSe: create your own mash-up search interface · SIGIR 2012
YooSee: a video browsing application for young children · SIGIR 2012
Information retrieval › search interfaces
search interface design
0.112012
MaSe: create your own mash-up search interface · SIGIR 2012
Information retrieval › multimedia analysis and retrieval
video browsing
0.112012
YooSee: a video browsing application for young children · SIGIR 2012
YearPublicationVenuePosition
2013 Re-leashed! The PuppyIR Framework for Developing Information Services for Children, Adults and Dogs
Douglas Dowie, Leif Azzopardi
ECIR1
2012 EmSe: Supporting Children's Information Needs within a Hospital Environment
Leif Azzopardi, Douglas Dowie, Sergio Duarte Torres, Carsten Eickhoff, Richard Glassey, Karl Gyllstrom, Djoerd Hiemstra, Franciska de Jong, Frea Kruisinga, Kelly Ann Marshall, Marie-Francine Moens, Tamara Polajnar, Frans van der Sluis, Arjen P. de Vries
ECIR2
2012 YooSee: a video browsing application for young children
abstract
Nowadays children as young as two years old can easily interact with mobile touch screen devices and personal computers to watch online videos through services such as YouTube. However, such services present a number of challenges for young children (e.g. fine grain gestures/interactions and good typing/literacy skills). In addition, when children use such services there is a risk that they may stumble upon content that is inappropriate. YooSee is a web-based application developed using the PuppyIR framework and designed for children aged between two and six years old. YooSee enables children to: (1) search and browse through video content using an engaging, novel interaction paradigm, and (2) be able to safely enjoy moderated video content.
Leif Azzopardi, Douglas Dowie, Kelly Ann Marshall
SIGIR2
2012 MaSe: create your own mash-up search interface
abstract
MaSe provides a sandbox environment for high school students to create their own personalised search interface. It has been designed with two major goals in mind: (1) as a hands-on tutorial for school children, to excite them about programming and computing science through the development of a practical application, and (2) to enable children to design and create their own search interface without extensive programming knowledge or prior experience. Consequently, MaSe provides a way to ascertain what children would like from a search engine interface in an exploratory and creative way as they can create a working prototype. This approach contrasts with previous work on exploring children's requirements of IR systems which attempts to directly elicit user needs through more traditional methods (i.e. surveys, interviews, focus groups, etc). However, we have attempted to incorporate the design guidelines for children as identified by Large (2006) into MaSe, where: we make use of bright colours, large text fonts, spell checking and the use of icons to represent search services, as well as including a thematic experience as suggested by Large (2006), with the use of a puppy avatar and puppy dog footprints.
Leif Azzopardi, Douglas Dowie, Kelly Ann Marshall, Richard Glassey
SIGIR2