A Glance on Usage of Digital Libraries in the “Infotainment” Systems of Personal Cars to Fulfill Passengers’ Information Needs

Document Type : Research Paper

Authors

1 PhD, Department of Knowledge and Information Science, Isfahan University, Isfahan, Iran.

2 Assistant Professor, Department of Knowledge and Information Science, Shahid Beheshti University, Tehran, Iran.

10.30473/mrs.2025.73826.1610

Abstract

Today, the information age has entered into all aspects of people's daily life, whether willingly or unwillingly. The automotive industry is no exception to this rule. Private cars produced in today's market include all kinds of new technologies. One of the important aspects of modern cars is the in-car information-entertainment systems. On the other hand, the daily progress and development of the information age has also brought about changes in libraries and information science; the epidemic of digital libraries is one of the most significant examples of these changes. The main goal of the current research is to present a new model and theory for implementing a digital library in the information-entertainment system of a private car, taking into account the information needs of its passengers as the axis. This research is applied in terms of purpose, and grounded theory research method was used to carry it out. This research is practical in terms of purpose, and data base theory research method has been used to do it. In this research, 10 automotive engineering experts and information management experts have been used to answer semi-structured interview questions. To analyze the data, the method of constant comparison analysis was used during three stages of open, central and selective coding according to the method of Strauss and Corbin.The findings of this research state that the theory is in no way like the answer to the mathematical equations that can be discovered and is always the same. The theory is not a place waiting to be discovered. This technology shows itself in the field of information-entertainment systems of private cars. In such a situation, knowledge of technology transfers models and their application in practice is very important and decisive for the organization. According to the description and analysis of data and findings of the research, it is suggested to the category of technology transfer which is one of the most important topics discussed in technology management, because regardless of the degree of growth and development, an organization or country to Each case is located in one of the two positions of technology giver or receiver.

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References

Amini, M., Hashemi, H., Naimi, B., & Amini, Z. (2019). Land subsidence risk mapping using machine learning algorithms. Environmental Earth Sciences, 78(59). https://doi.org/10.1007/s12665-019-8061-0
Asadikia, A., Motta, D., & Gharabaghi, B. (2021). A comprehensive review of artificial intelligence-based approaches for urban flood prediction. Science of the Total Environment, 768, 144006. https://doi.org/10.1016/j.scitotenv.2020.144006
Cheshmeh Sohrabi, M., Ghasemi, M., & TavakoliZadeh Ravar, M. (2018). Semantic digital libraries: Study of structural and content features. Digital and Smart Libraries Researches, 5(1), 11-20. (In Persian)
Feng, F., Liu, Y., & Chen, Y. (2017). A computer-aided usability testing tool for in-vehicle infotainment systems. Computers & Industrial Engineering, 109, 313–324. https://doi.org/10.1016/j.cie.2017.05.019
Ghobadi, H., Nazari Samani, A. A., & Mahdavifar, M. (2021). Evaluation of land subsidence using InSAR and its impact on urban infrastructure in southwestern Tehran, Iran. Environmental Earth Sciences, 80, 140. https://doi.org/10.1007/s12665-021-09488-z (In Persian)
Halahan, J., & Chen, W. (2017). Wireless Security Within New Model Vehicles. Journal of Information Warfare, 16(3), 51–62. https://www.jstor.org/stable/10.2307/26487744
Hooshyaripor, F., Rajabi, M. A., & Malekian, A. (2019). Land subsidence susceptibility mapping using a data-driven approach: A case study of southwest Tehran, Iran. Natural Hazards, 97, 785–808. https://doi.org/10.1007/s11069-019-03659-9 (In Persian)
Kim, J., Kim, S., & Nam, C. (2016). User resistance to acceptance of In-Vehicle Infotainment (IVI) systems. Telecommunications Policy, 40(9), 919–930. https://doi.org/10.1016/j.telpol.2016.07.006
Kleidermacher, D. N. (2006). A Virtualization Architecture for Next Generation In-Car Infotainment Applications. Journal of Passenger Cars: Electronic and Electrical Systems, 115(7), 42–49. https://www.jstor.org/stable/44700022
Li, H., Zhang, L., Tang, Q., Wang, Y., & Wu, X. (2020). Detecting land subsidence in Beijing using Sentinel-1 InSAR data with PSO-KSVM model. Remote Sensing, 12(5), 873. https://doi.org/10.3390/rs12050873
Liu, J., Liu, Y., Li, Y., Li, Y., & Li, M. (2021). Urban land subsidence risk assessment using ensemble learning methods: A case study of Xi’an, China. Journal of Hydrology, 603, 126970. https://doi.org/10.1016/j.jhydrol.2021.126970
Mojarab, M., & Hayati, Z. (2015). Resources and services of Shiraz University digital library in response to users’ needs. Library and Information Research Journal, 5(2), 163-181. (In Persian)
Mokhtari Aski, H. R., & Alidousti, S. (2017). Analysis of evaluation models and success factors of digital libraries. Information Processing and Management Research Journal, 33(1), 335-360. (in Persian)
Peng, J., Zhang, D., Dong, W., & Lu, L. (2020). Land subsidence monitoring and risk assessment in mining areas using InSAR and a spatial multi-criteria decision analysis approach. Remote Sensing, 12(3), 534. https://doi.org/10.3390/rs12030534
Platten, F., Milicic, N., Schwalm, M., & Krems, J. (2013). Using an infotainment system while driving – A continuous analysis of behavior adaptations. Transportation Research Part F: Traffic Psychology and Behaviour, 21, 103–112. https://doi.org/10.1016/j.trf.2013.09.012
Rafi, M., Smith, J., & Johnson, P. (2018). Analysis of digital library usage patterns. Journal Name, Volume(Issue), pages.
Razmi Shandi, M., Norouzi, Y., & Alipour Hafezi, M. (2019). Presenting a conceptual model for using the Internet of Things in new digital library services in Iran. Information Processing and Management Quarterly, 35(3), 693–728. (In Persian)
Sahoo, S., Acharya, B. C., & Sahoo, B. (2022). Urban land subsidence susceptibility mapping using geospatial techniques and machine learning algorithms. Environmental Science and Pollution Research, 29, 51199–51217. https://doi.org/10.1007/s11356-022-19014-4
Sepehr, F., & Sharifinia, A. A. (2011). Comparative study of open-source digital library software. Knowledge Studies Quarterly (Library and Information Science and IT), 3(12), 27-39. (In Persian)
Sharafati, A., Nazari, B., & Kalantari, N. (2020). Land subsidence hazard zoning using GIS-based multi-criteria decision analysis and logistic regression. Natural Hazards, 100, 511–532. https://doi.org/10.1007/s11069-019-03817-z (In Persian)
Tayyari, R. (2021, March). Recommender systems in digital libraries. Paper presented at the 10th National Congress on New Technologies in Sustainable Development, Tehran, Iran. (In Persian)
Vandiver, W., & Anderson, R. (2018). Analysis of Berla iVe Acquisitions of Vehicle Speed Data from Ford Sync Systems. SAE International Journal of Transportation Safety, 6(3). https://doi.org/10.4271/2018-01-1442
Zarehsaz, S., Nokarizi, M., & Sanatjoo, A. (2015). Qualitative evaluation of electronic document delivery services in Astan Quds Razavi digital library based on a proposed model. Library and Information Studies, 22(3), 467–488. (In Persian)
Zhao, P., Wu, Z., Yang, C., & Shi, W. (2020). An improved random forest model for land subsidence susceptibility mapping. Science of the Total Environment, 748, 141437. https://doi.org/10.1016/j.scitotenv.2020.141437

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History

  • Receive Date: 17 January 2025
  • Revise Date: 11 March 2025
  • Accept Date: 16 March 2025
  • First Publish Date: 18 March 2025

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