In this paper, we report on interview data collected from 14 Deaf leaders across seven countries (Australia, Belgium, Ireland, the Netherlands, Switzerland, United Kingdom, and the United States) regarding their perspectives on signed language interpreters. Using a semi-structured survey questionnaire, seven interpreting researchers interviewed two Deaf leaders each in their home countries. Following transcription of the data, the researchers conducted a thematic analysis of the comments. Four shared themes emerged in the data, as follows: (a) variable level of confidence in interpreting direction, (b) criteria for selecting interpreters, (c) judging the competence of interpreters, and (d) strategies for working with interpreters. The results suggest that Deaf leaders share similar, but not identical, perspectives about working with interpreters, despite differing conditions that hold regarding how interpreting services are provided in their respective countries. When compared to prior studies of Deaf leaders’ perspectives of interpreters, these data indicate some positive trends in Deaf leaders’ experience with interpreters; however, results also point to a need for further work in creating an atmosphere of trust, enhancing interpreters’ language fluency, and developing mutual collaboration between Deaf leaders and signed language interpreters. De url van de uitgeversversie van het artikel is: http://dx.doi.org/10.1556/084.2017.18.1.5
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Presentatie op congres The Sign Language Proficiency Interview (SLPI) is a tool for assessing functional sign language skill. Based on the Language Aptitude Test, it uses a recorded 20 minute conversation between a skilled interviewer and the candidate. The interview uses an ad hoc series of probing and challenging questions to elicit the candidate’s best use of the sign language in topics relating to the candidate’s work, family/background, and leisure activities. This video language sample is then analyzed to determine the candidate’s rating on the SLPI Rating Scale. The rating process documents vocabulary, grammar and discourse, and follows a specified protocol that includes specific examples from the interview. The SLPI is used widely in the US and Canada with American Sign Language, and one of the presenters has adapted it for use with South African Sign Language. The presenters have recently adapted the SLPI for use with Sign Language of the Netherlands (NGT). While the interview process is the same regardless of the sign language, two aspects of the adaptation for NGT required work: 1) modifying the grammar analysis to match NGT grammar; and 2) modifying the Rating Scale to align with that of the Common European Framework of Reference for languages (CEFR). This ICED presentation will include: 1) a thorough description of SLPI goals, processes and implementation; 2) modifications for NGT grammar; and 3) modifications to align with the CEFR.
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-Chatbots are being used at an increasing rate, for instance, for simple Q&A conversations, flight reservations, online shopping and news aggregation. However, users expect to be served as effective and reliable as they were with human-based systems and are unforgiving once the system fails to understand them, engage them or show them human empathy. This problem is more prominent when the technology is used in domains such as health care, where empathy and the ability to give emotional support are most essential during interaction with the person. Empathy, however, is a unique human skill, and conversational agents such as chatbots cannot yet express empathy in nuanced ways to account for its complex nature and quality. This project focuses on designing emotionally supportive conversational agents within the mental health domain. We take a user-centered co-creation approach to focus on the mental health problems of sexual assault victims. This group is chosen specifically, because of the high rate of the sexual assault incidents and its lifetime destructive effects on the victim and the fact that although early intervention and treatment is necessary to prevent future mental health problems, these incidents largely go unreported due to the stigma attached to sexual assault. On the other hand, research shows that people feel more comfortable talking to chatbots about intimate topics since they feel no fear of judgment. We think an emotionally supportive and empathic chatbot specifically designed to encourage self-disclosure among sexual assault victims could help those who remain silent in fear of negative evaluation and empower them to process their experience better and take the necessary steps towards treatment early on.
