WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10011324,
	  title     = {An Exploratory Survey Questionnaire to Understand What Emotions Are Important and Difficult to Communicate for People with Dysarthria and Their Methodology of Communicating},
	  author    = {Lubna Alhinti and  Heidi Christensen and  Stuart Cunningham},
	  country	= {},
	  institution	= {},
	  abstract     = {People with speech disorders may rely on augmentative
and alternative communication (AAC) technologies to help them
communicate. However, the limitations of the current AAC
technologies act as barriers to the optimal use of these technologies in
daily communication settings. The ability to communicate effectively
relies on a number of factors that are not limited to the intelligibility
of the spoken words. In fact, non-verbal cues play a critical role in
the correct comprehension of messages and having to rely on verbal
communication only, as is the case with current AAC technology,
may contribute to problems in communication. This is especially true
for people’s ability to express their feelings and emotions, which are
communicated to a large part through non-verbal cues. This paper
focuses on understanding more about the non-verbal communication
ability of people with dysarthria, with the overarching aim of this
research being to improve AAC technology by allowing people
with dysarthria to better communicate emotions. Preliminary survey
results are presented that gives an understanding of how people with
dysarthria convey emotions, what emotions that are important for
them to get across, what emotions that are difficult for them to convey,
and whether there is a difference in communicating emotions when
speaking to familiar versus unfamiliar people.},
	    journal   = {International Journal of Psychological and Behavioral Sciences},
	  volume    = {14},
	  number    = {7},
	  year      = {2020},
	  pages     = {187 - 191},
	  ee        = {https://publications.waset.org/pdf/10011324},
	  url   	= {https://publications.waset.org/vol/163},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 163, 2020},
	}