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Job Interview Game for High Functioning Autist

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Advances in Human Factors in Training, Education, and Learning Sciences (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 963))

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Abstract

We report on a job interview simulation game developed as part of the BRAINTRAIN project funded by the EU. The on-line accessible single-player 2D narrative game is adaptive to the trainees’ (a) answering responses to questions by a virtual interviewer, (b) point of gaze towards the interviewer, and (c) his/her stress levels. Adaptiveness was realized by changing the game world in terms of more or less abstract interviewing questions, increasing or decreasing visual and audio clutter in the game interface. The game is intended to be an intervention instrument aiming to improve social communication and interaction skills. The target group are high functioning Autism Spectrum Disorder (ASD) adults. To test the feasibility of such a tool, we report on findings from a market study in terms of a SWOT analysis, and we show the results from a user study in terms of hypothesized effects on social skills improvements.

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Notes

  1. 1.

    http://www.braintrainproject.eu/.

References

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Acknowledgments

This work part of BRAINTRAIN - a four-year Collaborative Project supported by the European Commission, under the Health Cooperation Work Programme of the 7th Framework Programme, under the Grant Agreement n° 602186. In addition, we like to thank our project partner the IBILI research group from the University of Portugal for providing relevant insights regarding ASD, writing the game scenario and feedback on the game solution. We also like to thank the BRAINTRAIN project management for facilitating and financing the market study. Finally, Emine Poyraz for conducting the user study, in fulfillment of her M.Sc. degree from Leiden University – The Netherlands.

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Correspondence to Johan de Heer .

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de Heer, J., Hrynkiewicz, R., de Groot, T., Poyraz, E. (2020). Job Interview Game for High Functioning Autist. In: Karwowski, W., Ahram, T., Nazir, S. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2019. Advances in Intelligent Systems and Computing, vol 963. Springer, Cham. https://doi.org/10.1007/978-3-030-20135-7_36

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  • DOI: https://doi.org/10.1007/978-3-030-20135-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20134-0

  • Online ISBN: 978-3-030-20135-7

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