Enhancing the content and experience of Interactive Childrens Television. Interactive television (iTV) as a participatory, on-demand communication provides a unique opportunity to significantly engage, entertain and educate preschool children. Through considerable industry partner collaboration and participation, this project will evaluate three distinct interactive options produced from selected children's television programs with proven success in Australia. Usability studies employing a vari ....Enhancing the content and experience of Interactive Childrens Television. Interactive television (iTV) as a participatory, on-demand communication provides a unique opportunity to significantly engage, entertain and educate preschool children. Through considerable industry partner collaboration and participation, this project will evaluate three distinct interactive options produced from selected children's television programs with proven success in Australia. Usability studies employing a variety of surveillance techniques will evaluate content design and user response. Children's viewing habits will be evaluated within a social context (the home) and a mobile lab setting using qualitative and quantitative assessment. The results will identify effective ways to produce meaningful interactivity and will encourage future industry based research.Read moreRead less
Special Research Initiatives - Grant ID: SR0354753
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
MESH: amalgamating innovative teams of cross-disciplinary collaborators for creativity in Media-arts, E-culture, Science and Humanities. MESH is a cross-disciplinary network that amalgamates a national array of sub-networks of research in digital arts, ICT and cross-cultural and policy negotiation. It boosts Australia's existing cross-disiciplinary strengths in Media-arts, E-culture, Science and Humanities by encouraging existing digital sub-networks to grow together via well-brokered communic ....MESH: amalgamating innovative teams of cross-disciplinary collaborators for creativity in Media-arts, E-culture, Science and Humanities. MESH is a cross-disciplinary network that amalgamates a national array of sub-networks of research in digital arts, ICT and cross-cultural and policy negotiation. It boosts Australia's existing cross-disiciplinary strengths in Media-arts, E-culture, Science and Humanities by encouraging existing digital sub-networks to grow together via well-brokered communications and demonstrations online and on-location. Progressively, MESH participants will discover existing harmonies whilst also inventing new languages and protocols leading to breakthroughs in cross-disciplinary collaboration and innovation. MESH encourages a 'paradigm shift' in digital research, realising the extraordinary potential that is ready but latent across Australia's arts and sciences.Read moreRead less
Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and w ....Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and will create new knowledge to harness the full potential of crowd sourced data curation. This is expected to make a significant benefit towards enhanced organisational capacity to accelerate the time-to-value from data analytics projects.Read moreRead less