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Augmenting the LSA Technique to Evaluate Ubicomp Environments

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NEO 2016

Part of the book series: Studies in Computational Intelligence ((SCI,volume 731))

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Abstract

LSA is a useful user study technique, it is well known and used to design and evaluate Ubicomp systems. The LSA technique enables researchers to collect data, analyze it, and obtain quantitative and statistical results. A key advantage of using LSA is that it is performed in the user’s environment. However, analyzing large amounts of data is considered by some researchers to be a burden and time consuming, prone to human error. In this paper we explore the use of computer vision techniques to automate the data analysis and coding when using LSA. We present a system that uses facial tracking, object recognition and composite correlation filters to detect the Attention behavior of a subject. Our results indicate that computer vision can automate the LSA technique and reduce the burden of coding data manually by the researcher. The findings from this study reveal emergent practices of the use of our proposed system to automate the evaluation of Ubicomp environments.

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Notes

  1. 1.

    http://www.qsrinternational.com/products_nvivo.aspx.

  2. 2.

    http://www.maxqda.com.

  3. 3.

    http://atlasti.com.

  4. 4.

    http://provalisresearch.com/products/qualitative-data-analysis-software.

  5. 5.

    http://www.researchware.com/products/hyperresearch.html.

  6. 6.

    http://docs.opencv.org/2.4/modules/objdetect.

  7. 7.

    https://github.com/zk00006/OpenTLD.

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Acknowledgements

We thank participants in this work and the availability to use the data for this work. Also the grants SEP-TecNM (México) 5620.15-P and 5621.15-P, CONACYT (México) Basic Science Research Project No. 178323, and the FP7-Marie Curie-IRSES 2013 European Commission program through project ACoBSEC with contract No. 612689. First author was supported by CONACYT doctoral scholarship No. 302532.

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Authors and Affiliations

  1. Posgrado en Ciencias de la Ingeniería, Departamento de Ingeniería Eléctrica y Electrónica, Blvd. Alberto Limón Padilla y Av. ITR Tijuana S/N, C.P. 22430, Tijuana, Baja California, Mexico

    Víctor R. López-López

  2. UCSD, 9452 Medical Center Dr, La Jolla, CA, 92037, USA

    Lizbeth Escobedo

  3. Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N Fraccionamiento Tomas Aquino, 22414, Tijuana, Baja California, Mexico

    Leonardo Trujillo

  4. CITEDI-IPN, Tijuana, Baja California, Mexico

    Victor H. Díaz-Ramírez

Authors
  1. Víctor R. López-López
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  2. Lizbeth Escobedo
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  3. Leonardo Trujillo
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  4. Victor H. Díaz-Ramírez
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Corresponding author

Correspondence to Leonardo Trujillo .

Editor information

Editors and Affiliations

  1. Instituto Tecnológico de Tijuana, Tijuana, Mexico

    Yazmin Maldonado

  2. Instituto Tecnológico de Tijuana, Tijuana, Mexico

    Leonardo Trujillo

  3. Departamento de Computación, CINVESTAV-IPN, Mexico City, Mexico

    Oliver Schütze

  4. University of Strathclyde, Glasgow, United Kingdom

    Annalisa Riccardi

  5. University of Strathclyde, Glasgow, United Kingdom

    Massimiliano Vasile

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López-López, V.R., Escobedo, L., Trujillo, L., Díaz-Ramírez, V.H. (2018). Augmenting the LSA Technique to Evaluate Ubicomp Environments. In: Maldonado, Y., Trujillo, L., Schütze, O., Riccardi, A., Vasile, M. (eds) NEO 2016. Studies in Computational Intelligence, vol 731. Springer, Cham. https://doi.org/10.1007/978-3-319-64063-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-64063-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64062-4

  • Online ISBN: 978-3-319-64063-1

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