International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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DetGas: A Carbon Monoxide Gas Leakage Detector Mobile Application

  • Received : 2021.11.05
  • Published : 2021.11.30
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Abstract

Many incidents of Carbon Monoxide (CO) poisoning have occurred because of people being unaware of its presence. There are currently available systems on the market, but they are limited to measuring CO in a certain area and lack vital functions. Additionally, little to no evidence-based information on their quality was available. Thus, a mobile application for detecting CO gas leakage in a vehicle and critical features to assist victims was developed. A usability and functionality test were conducted to determine the product's quality utilizing nine usability and six functionality task scenarios (n=5). Then, a System Usability Scale test was performed to obtain system satisfaction, usability, and learnability (n=50). The usability and functionality test shows that all the tasks given for both tests were 100% successful. The overall score obtained for SUS was 71.4, which indicates good acceptance and usability. Around 20% of respondents claimed that they would need the support of a technical person to be able to use the application and that they needed to learn a lot of things before they could use the application, which indicates the overall high learnability of the application. The result provides empirical evidence that the CO gas leakage detection mobile application is successful and receives good usability, functionality, acceptability, learnability, and satisfaction assessments. DetGas could benefit automobile owners and other stakeholders by mitigating the risk and harm associated with gas leaking that exceeds the safe limit.

Keywords

Acknowledgement

The authors would like to acknowledge the Research Initiative Group for Emotion, Kansei and Design Engineering (RIG EKDE), UiTM, as well as the Malaysia Association of Kansei Engineering (MAKE), for all their assistance with the research paper. This work was partially supported by UiTM and the Ministry of Higher Education (600-IRMI/FRGS 5/3 (328/2019).

References

  1. Waseem, H., Abrar, A., Abeer, A., Afnan, A., Enas, A., GhadahR, A., SaraBin, H.: Public awareness and attitude of the hazards of carbon monoxide (CO) poisoning and the safety precautions applied to that regard, among Saudis for the year 2013-2014. International Journal of Advanced Research 4, 2306-2314 (2016) https://doi.org/10.21474/IJAR01/2651
  2. Davis, N.: Carbon monoxide poisoning. British Medical Journal 2(6204), 1584 (2019) https://doi.org/10.1136/bmj.2.6204.1584
  3. Miles. B., Salim, C., El-Bay, B.: Carbon monoxide detection: an IoT application used as a tool for civil protection services to save lives. In: Proc. of the 3rd International Conference on Future Networks and Distributed Systems, Paris (2019)
  4. Hiroshi, K., Hulya, T., Slavica, V., Shahab, N., Rafik, B., Ramin. R., Aristidis, T.: Carbon monoxide poisoning. Toxicology Reports 7, 169-173 (2020) https://doi.org/10.1016/j.toxrep.2020.01.005
  5. Kamal, M., Gokul, K.: Carbon monoxide poisoning. Journal of Marine Medical Society 18(2), 179-186 (2016) https://doi.org/10.4103/0975-3605.204476
  6. Zaba, C., Swiderski, P., Sommerfeld-Klatta, K., Zaba, Z., Pluta-Hadas, K., & Urbaniak, M.: Suicidal carbon monoxide poisoning using motor vehicle exhaust in an open space. Medical Principles and Practice 28(5), 490-492 (2019) https://doi.org/10.1159/000500009
  7. Blumenthal, I.: Carbon monoxide poisoning. Journal of the Royal Society of Medicine 94(6), 270-272 (2001) https://doi.org/10.1177/014107680109400604
  8. Olson, K., Smollin, C. Carbon monoxide poisoning (acute). BMJ Clinical Evidence, 2010: 2013 (2010)
  9. Yen, G. S., Moorthy, K., Machap, L.: IoT based vehicle carbon monoxide monitoring, alerting and controlling system. International Journal of Advanced Trends in Computer Science and Engineering 9(5), 334-339 (2020) https://doi.org/10.30534/ijatcse/2020/4791.52020
  10. Akhtar, N., Pandey, K., Gupta, S.: Mobile application for safe driving. In: The 4th International Conference on Communication Systems and Network Technologies, vol. 6821388, pp. 212-216 (2014)
  11. Hirawat, A., Bhargava, D.: Enhanced accident detection system using safety application for emergency in mobile environment: SafeMe. Advances in Intelligent Systems and Computing 336, 173-179 (2015)
  12. Yildirim Yayilgan, S., Du, Y., Dalipi, F., Jeppesen. J.: A new ski injury registration system architecture using mobile applications to enhance skiing safety. International Journal of Interactive Mobile Technologies (iJIM) 10(4), 4-10 (2016)
  13. Militaru, A.V., Caruntu, C.F., Comsa, C.R.: Application design principles for road users' safety. International Symposium on Signals, Circuits and Systems (2021)
  14. Lee, B.G., Chong, T.W., Lee, B.L., Park, H.J., Kim, Y.N., Kim, B.: Wearable mobile-based emotional response-monitoring system for drivers. IEEE Transactions on Human-Machine Systems 47(5), 636-649 (2017) https://doi.org/10.1109/THMS.2017.2658442
  15. Huda, C. Tolle, H., Utaminingrum, F.: Mobile-based driver sleepiness detection using facial landmarks and analysis of EAR values. International Journal of Interactive Mobile Technologies (iJIM) 14(14), 16-30 (2020) https://doi.org/10.3991/ijim.v14i14.14105
  16. Thangavel, R.K., Athithan, S., Sarumathi, S., Aruna, M., Nithila, B.: Blackspot Alert and Accident Prevention System. In: Proc. of the 10th International Conference on Computing, Communication and Networking Technologies (2019)
  17. Kassim, M., Bakar, A.S.A.A.: The design of augmented reality using unity 3D image marker detection for smart bus transportation. International Journal of Interactive Mobile Technologies (iJIM) 15(17), 18-32 (2021)
  18. Hussein, L.F., Aissa, A.B., Mohamed, I.A., Alruwaili, S., Alanzi, A.: Development of a secured vehicle spot detection system using GSM. International Journal of Interactive Mobile Technologies (iJIM) 15(4), 85-100 (2021) https://doi.org/10.3991/ijim.v15i04.19267
  19. Rojas-Ascate, C.S., Escalaya-Angulo, A., Tasayco-Abanto, J., Huamani-Navarrete, P.F.: Implementation of a CO concentration measurement and alert prototype applying IoT and mobile application. In: Proc. of the 2019 IEEE 1st Sustainable Cities Latin America Conference (2019)
  20. Noor, A., Umer, A., Amin, N., Umar, A.I., Ahmad, Z., Khan, M., Jan, S.A., Iqbal, J.: Usability Evaluation of Brain-Computer Interaction (BCI), Based Game for Normal Users. International Journal of Computer Science and Network Security 18(6), 168-175 (2018)
  21. Ismail, N.A., Hamid, N.I.M., Lokman, A.M.: Performing Usability Evaluation on Multi-Platform Based Application for Efficiency, Effectiveness and Satisfaction Enhancement. International Journal of Interactive Mobile Technologies (iJIM) 15(10), 103-117 (2021)
  22. Adrees, M., Ahmad, D.N., Amelio, A., Wadeer, K.A.: Enhancing Web Usability: Exploiting interactional properties of web interfaces with vocabulary and comprehension learning in non native English speakers. International Journal of Computer Science and Network Security 18(10), 164-172 (2018)
  23. Alkinani, E.A., Alzahrani, A.I.A.: Evaluating the Usability and Effectiveness of Madrasati Platforms as a Learning Management System in Saudi Arabia for Public Education. International Journal of Computer Science and Network Security, VOL.21(6), pp. 275-285 (2021) https://doi.org/10.22937/IJCSNS.2021.21.6.36
  24. Samrgandi, N.: User Interface Design & Evaluation of Mobile Applications. International Journal of Computer Science and Network Security, VOL.21(1), pp. 55-63 (2021) https://doi.org/10.22937/IJCSNS.2021.21.1.9
  25. NIOSH (The National Institute for Occupational Safety and Health). Carbon monoxide. Retrieved on 30 August 2021 from https://www.cdc.gov/niosh/pel88/630-08.html. (2011)
  26. Sauro, J. (2011). Measuring usability with the System Usability Scale (SUS). Retrieved 30 August from https://measuringu.com/sus/. (2011)
  27. Lewis, J.R., Sauro, J.: The factor structure of the System Usability Scale. In: The 1st International Conference on Human Centered Design: Held as Part of HCI International, vol. 5619, pp. 94-103 (2009)
  28. Brooke, J.: SUS: a retrospective. Journal of Usability Studies 8(2), 29-40 (2013)
  29. Bangor, A., Kortum, P., Miller, J.: Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of Usability Studies 4(3), 114-123 (2009)