Abstract
The aim of this study is to investigate how the language technologies of Automatic Speech Recognition (ASR), Machine Translation (MT), and Text To Speech (TTS) synthesis affect users during an interlingual interaction. In this paper, we describe the prototype system used for the data collection, we give details of the collected data and report the results of a usability test run to assess how the users of the interlingual system evaluate the interactions in a collaborative map task. We use widely adopted usability evaluation measures: ease of use, effectiveness and users satisfaction, and look at both qualitative and quantitative measures. Results indicate that both users taking part in the dialogues (instructions giver and follower) found the system similarly satisfactory in terms of ease of learning, ease of use, and pleasantness, even if they were less satisfied with its effectiveness in supporting the task. Users employed different strategies in order to adapt to the shortcomings of the technology, such as hyper-articulation, and rewording of utterances in relation to error of the ASR. We also report the results of a comparison of the map task in two different settings – one that includes a constant video stream (“video-on”) and one that does not (“no-video.”) Surprisingly, users rated the no-video setting consistently better.
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Notes
- 1.
Biosignal data is not used in this study.
- 2.
Eye tracking data is not used in this study.
- 3.
It is interesting to note that, as indicated later in this paper under Sect. 3.1, the participants use the word “translation” to describe the ASR results or TTS output.
- 4.
Reduced to 17 % when outlier dialogue pair (giver : follower = 199 : 60) was removed.
- 5.
Calculated using the modified kappa feature of ELAN 4.9.0’s “Inter-Annotator Reliability...” function.
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Acknowledgments
This research is supported by Science Foundation Ireland through the CNGL Programme (Grant 12/CE/I2267) in the ADAPT Centre (www.adaptcentre.ie) at Trinity College, Dublin.
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Cerrato, L., Akira, H., Campbell, N., Luz, S. (2016). A Speech-to-Speech, Machine Translation Mediated Map Task: An Exploratory Study. In: Quesada, J., Martín Mateos, FJ., Lopez-Soto, T. (eds) Future and Emergent Trends in Language Technology. FETLT 2015. Lecture Notes in Computer Science(), vol 9577. Springer, Cham. https://doi.org/10.1007/978-3-319-33500-1_5
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