Advertisement

Presenting a Fire Alarm Using Natural Language: The Communication of Temporal Information

  • Yan Ge
  • Xianghong Sun
  • Li Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8019)

Abstract

Language comprehension is an important issue in fire alarm systems. This study focuses on the expression of temporal information in a fire situation. Both absolute time and relative time were designed to compare the expression types of temporal information. The time sequence and spatial sequence were designed to explore the expressions of a complicated fire that has more than one point of origin. A 5-point Likert scale and ranking task were used to evaluate the comprehensibility of different presentation forms. The results show that using absolute time to describe the point of origin of the fire and its spreading state aided better comprehension. The mechanism and potential reasons are also discussed. In addition, some suggestions for future designs of fire alarm systems are proposed.

Keywords

fire alarm temporal information comprehensibility 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Geoffroy, N.A.: Measuring Speech Intelligibility in Voice Alarm Communication Systems. Thesis, Worcester Polytechnic Institute (2005)Google Scholar
  2. 2.
    Jacob, K.: Understanding Speech Intelligibility and the Fire Alarm Code. Paper presented at the National Fire Protection Association Congress (2001)Google Scholar
  3. 3.
    Steeneken, H.J.M.: Standardisation of Performance Criteria and Assessments Methods for Speech Communication. In: The Sixth European Conference on Speech Communication and Technology (Eurospeech 1999), Budapest, Hungary, Session Slot2. OR3 (2006)Google Scholar
  4. 4.
    Stepnitz, R., Shields, W., McDonald, E., Gielen, A.: Validity of smoke alarm self-report measures and reasons for over-reporting. Injury Prevention 18(5), 298–302 (2012)CrossRefGoogle Scholar
  5. 5.
    Proulx, G., Richardson, J.: The human factor: building designers often forget how important the reactions of human occupants are when they specify fire and life safety systems. Canadian Consulting Engineer 43(3), 35–36 (2002)Google Scholar
  6. 6.
    Stevens, C., Lees, N., Vonwiller, J., Burnham, D.: On-line experimental methods to evaluate text-to-speech (TTS) synthesis: effects of voice gender and signal quality on intelligibility, naturalness and preference. Computer Speech & Language 19(2), 129–146 (2005)CrossRefGoogle Scholar
  7. 7.
    Qu, W., Sun, X., Plocher, T., Wang, L.: A Study of Information Retrieval of En Route Display of Fire Information on PDA. In: Jacko, J.A. (ed.) HCI International 2009, Part III. LNCS, vol. 5612, pp. 86–94. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  8. 8.
    Sun, X., Qu, W., Plocher, T., Wang, L.: A Study of Fire Information Detection on PDA Device. In: Jacko, J.A. (ed.) HCI International 2009, Part III. LNCS, vol. 5612, pp. 105–113. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Le Bigot, L., Rouet, J.F., Jamet, E.: Effects of speech- and text-based interaction modes in natural language human-computer dialogue. J. Hum. Factors 49, 1045–1053 (2007)CrossRefGoogle Scholar
  10. 10.
    Ge, Y., Wang, L., Sun, X.: Application of Natural Language in Fire Spread Display. In: Harris, D. (ed.) Engin. Psychol. and Cog. Ergonomics, HCII 2011. LNCS (LNAI), vol. 6781, pp. 365–373. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yan Ge
    • 1
  • Xianghong Sun
    • 1
  • Li Wang
    • 1
  1. 1.Institute of PsychologyCASBeijingChina

Personalised recommendations