Pathways to Live Visuals in Dance Performances: a Quantitative Audience Study
INTRODUCTION: We present an audience study investigating the impact of different technologies to createvisuals in dance performances.OBJECTIVES: We investigated four conditions: motion capture, sensors, camera image, and minimalinteraction; and four variables: how much did the audience perceive a co...
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European Alliance for Innovation (EAI)
2020-04-01
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Online Access: | https://eudl.eu/pdf/10.4108/eai.13-7-2018.163987 |
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doaj-ed28e186fae14da69d7b9c10047171812020-11-25T02:10:33ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Creative Technologies2409-97082020-04-0172310.4108/eai.13-7-2018.163987Pathways to Live Visuals in Dance Performances: a Quantitative Audience StudyRaul Masu0Nuno Correia1FCT/NOVA University of Lisbon and ITI/LARSySUniversity of Greenwich and ITI/LARSySINTRODUCTION: We present an audience study investigating the impact of different technologies to createvisuals in dance performances.OBJECTIVES: We investigated four conditions: motion capture, sensors, camera image, and minimalinteraction; and four variables: how much did the audience perceive a connection between the body and thevisuals; the visuals as merely copying the dancer; how much distracting were the visuals; and how much didthe audience enjoy the visuals.METHODS: We used a questionnaire to collect data. We analyzed it using Friedman’s test, and Spearman’scorrelation test.RESULTS: The audience perceived a stronger connection in the camera condition, but in the same condition,visuals tend to be merely copying the dancer. We also suggest that the perceived connection has a positivecorrelation with enjoyment, while distraction has a negative correlation.CONCLUSION: Our results help to highlight the impact that different technology have on live visuals fordance.https://eudl.eu/pdf/10.4108/eai.13-7-2018.163987audience studydancelive visualsinteraction design |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Raul Masu Nuno Correia |
spellingShingle |
Raul Masu Nuno Correia Pathways to Live Visuals in Dance Performances: a Quantitative Audience Study EAI Endorsed Transactions on Creative Technologies audience study dance live visuals interaction design |
author_facet |
Raul Masu Nuno Correia |
author_sort |
Raul Masu |
title |
Pathways to Live Visuals in Dance Performances: a Quantitative Audience Study |
title_short |
Pathways to Live Visuals in Dance Performances: a Quantitative Audience Study |
title_full |
Pathways to Live Visuals in Dance Performances: a Quantitative Audience Study |
title_fullStr |
Pathways to Live Visuals in Dance Performances: a Quantitative Audience Study |
title_full_unstemmed |
Pathways to Live Visuals in Dance Performances: a Quantitative Audience Study |
title_sort |
pathways to live visuals in dance performances: a quantitative audience study |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Creative Technologies |
issn |
2409-9708 |
publishDate |
2020-04-01 |
description |
INTRODUCTION: We present an audience study investigating the impact of different technologies to createvisuals in dance performances.OBJECTIVES: We investigated four conditions: motion capture, sensors, camera image, and minimalinteraction; and four variables: how much did the audience perceive a connection between the body and thevisuals; the visuals as merely copying the dancer; how much distracting were the visuals; and how much didthe audience enjoy the visuals.METHODS: We used a questionnaire to collect data. We analyzed it using Friedman’s test, and Spearman’scorrelation test.RESULTS: The audience perceived a stronger connection in the camera condition, but in the same condition,visuals tend to be merely copying the dancer. We also suggest that the perceived connection has a positivecorrelation with enjoyment, while distraction has a negative correlation.CONCLUSION: Our results help to highlight the impact that different technology have on live visuals fordance. |
topic |
audience study dance live visuals interaction design |
url |
https://eudl.eu/pdf/10.4108/eai.13-7-2018.163987 |
work_keys_str_mv |
AT raulmasu pathwaystolivevisualsindanceperformancesaquantitativeaudiencestudy AT nunocorreia pathwaystolivevisualsindanceperformancesaquantitativeaudiencestudy |
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