TY - GEN
T1 - The effect of using video-based advertising and stop-motion video to evaluate auto emotional menu in recognition tasks and communication
AU - Wang, Chuan Po
AU - Chen, Chien Hsu
AU - Lee, I. Jui
N1 - Publisher Copyright:
© 2017 The authors and IOS Press.
PY - 2017
Y1 - 2017
N2 - Autism spectrum disorders (ASD) has the ability to understand the emotions and expression of other people to identify obstacles, one of which is to recognize the emotional signal. This study attempted to capture the basic emotion feeling in the Video-Based Advertising (VBA) video scene and Stop-Motion Video with Advertising (SMV). Then, it were adopting the Multiple Baseline Across Behaviors Design, focusing on a wide range of nonverbal social hints to promote cognitive attitudes and cognition in children with autism. We designed an auto emotional menu (AEM) to help children with ASD improve their emotional identification ability and make it easier for them to operate answered correctly mood. A speech-generating device (SGD) with AEM designs was intervened on twelve children with ASD, and their improvements were assessed to compare the effects of the AEM intervention strategy. A multiple baseline design and reversal design were used. We studied the effects of two types of advertising videos: Video-Based Advertising (VBA) and SMV, from all developing children (n = 38) and those with ASD (n = 12). Evaluating the differences in their manipulation of AEM judgments to match different facial expression data with the paired mood response. to communicate with others and their accuracy rate, improved their involvement in moods expressed by AEM, and identified facial cues from two different kinds of graphic emoticons.
AB - Autism spectrum disorders (ASD) has the ability to understand the emotions and expression of other people to identify obstacles, one of which is to recognize the emotional signal. This study attempted to capture the basic emotion feeling in the Video-Based Advertising (VBA) video scene and Stop-Motion Video with Advertising (SMV). Then, it were adopting the Multiple Baseline Across Behaviors Design, focusing on a wide range of nonverbal social hints to promote cognitive attitudes and cognition in children with autism. We designed an auto emotional menu (AEM) to help children with ASD improve their emotional identification ability and make it easier for them to operate answered correctly mood. A speech-generating device (SGD) with AEM designs was intervened on twelve children with ASD, and their improvements were assessed to compare the effects of the AEM intervention strategy. A multiple baseline design and reversal design were used. We studied the effects of two types of advertising videos: Video-Based Advertising (VBA) and SMV, from all developing children (n = 38) and those with ASD (n = 12). Evaluating the differences in their manipulation of AEM judgments to match different facial expression data with the paired mood response. to communicate with others and their accuracy rate, improved their involvement in moods expressed by AEM, and identified facial cues from two different kinds of graphic emoticons.
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U2 - 10.3233/978-1-61499-779-5-410
DO - 10.3233/978-1-61499-779-5-410
M3 - Conference contribution
AN - SCOPUS:85032879053
T3 - Advances in Transdisciplinary Engineering
SP - 410
EP - 419
BT - Transdisciplinary Engineering
A2 - Chen, Chun-Hsien
A2 - Trappey, Amy C.
A2 - Peruzzini, Margherita
A2 - Stjepandic, Josip
A2 - Wognum, Nel
A2 - Wognum, Nel
PB - IOS Press BV
T2 - 24th ISPE Inc. International Conference on Transdisciplinary Engineering, TE 2017
Y2 - 10 July 2017 through 14 July 2017
ER -