ARCH_DATA APK: Mobile computing in the service of archaeological research

Authors

  • George Malaperdas Laboratory of Archaeometry, University of the Peloponnese

Abstract

The ARCH_DATA application is a mobile computing application developed with the aim of creating a more manageable and simplified process of data collection through archaeological field survey. The name comes from ‘Archaeological Data’ and refers to the application’s archaeological survey functions. It’s a program for collecting, analyzing, and maintaining all of the field survey’s data – archaeological, cultural, and environmental. Furthermore, it creates a geospatial archaeological database that is simple to integrate into a GIS environment. The ARCH_DATA application has a number of benefits, first and foremost its simplicity of use. Like all mobile applications, it only requires the user to have a mobile device as their primary logging device. It adapts to the requirements of each archaeological survey by simply modifying the fields of interest to correspond to the demands of each team. There is no limit to the number of entries a user can import, and there is no restriction on the number of people who can use the app at the same time. 

References

Berggren, Å., and I. Hodder 2003. Social practice, method, and some problems of field archaeology. American antiquity 68.3: 421–434. Bi, Q., G.L. Zysman and H. Menkes 2001. Wireless mobile communications at the start of the 21st century. IEEE communications magazine 39.1: 110– 116.

Brambilla, M., A. Mauri and E. Umuhoza 2014. Extending the interaction flow modeling language (IFML) for model driven development of mobile applications front end, in International Conference on Mobile Web and Information Systems: 176–191. Cham: Springer International Publishing. Cardoso, J. and A.M. Pinto 2015. The web ontology language (owl) and its applications, in Encyclopedia of Information Science and Technology, Third Edition: 7662–7673. IGI Global. Casademont, J., E. Lopez-Aguilera, J. Paradells, A. Rojas, A. Calveras, F. Barceloand and J. Cotrina 2004. Wireless technology applied to GIS. Computers and Geosciences 30.6.: 671–682. Castells, M., M. Fernandez-Ardevol, J.L. Qiu and A. Sey, 2009. Mobile communication and society: A global perspective. Cambridge, MA: Mit Press. Dalmasso, I., S.K. Datta, C. Bonnet and N. Nikaein 2013. Survey, comparison and evaluation of cross platform mobile application development tools, in 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC): 323– 328. Etzkorn, L.H. 2017. Introduction to Middleware: Web services, object components, and cloud computing. CRC Press. Evis, L. 2016. Forensic archaeology: The application of comparative excavation methods and recording systems. Oxford: Archaeopress. Fezari, M. and A. Al Dahoud 2018. Integrated development environment ‘IDE’ for Arduino. WSN applications: 1–12. Froehlich, J., M.Y. Chen, S. Consolvo, B. Harrison and J.A. Landay 2007. MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones, in MobiSys ‘07: Proceedings of the 5th international conference on Mobile systems, applications and services: 57-70. New York: Association for Computing Machinery Gay, G., R. Riegerand and T. Benningto 2013. Using mobile computing to enhance field study in T. Koschmann, R. Hall and N. Miyake (eds) CSCL2: Carrying forward the conversation: 507–528. Mahwah, NJ: Lawrence Erlbaum Associates. Hayward, S.J., K. van Lopik, C. Hinde and A.A. West 2022. A survey of indoor location technologies, techniques and applications in industry. Internet of Things, 100608. Hester, T.R., H.J. Shafer and K.L. Feder 2016. Field methods in archaeology. Routledge. Hodgson, J. 2019. Understanding records: A field guide to recording practice. Bloomsbury Publishing USA. Imielinski, T., and H.F. Korth 1996. Introduction to mobile computing, in T. Imielinski and H.F. Korth (eds) Mobile Computing. The Kluwer International Series in Engineering and Computer Science, vol 353: 1–43. Boston, MA: Springer US. Kappers, A.M., M.F.S Oen, T.J. Junggeburth, and M.A. Plaisier2022. Hand-held haptic navigation devices for actual walking. IEEE Transactions on Haptics 15.4: 655–666. Kellerman, A. 2010. Mobile broadband services and the availability of instant access to cyberspace. Environment and planning A42.12: 2990–3005. Lee, L., M. Jones, G.S. Ridenour, S.J. Bennett, A.C. Majors, B.L Melito and M.J. Wilson 2016. Comparison of accuracy and precision of GPS- enabled mobile devices, in 2016 IEEE International Conference on Computer and Information Technology: 73–82. Ling, R., and N.S. Baron 2013. Mobile phone communication. Pragmatics of computer-mediated communication (Handbooks of Pragmatics [HOPS] 9): 191–216. Lopatovska, I., A.L. Griffin, K. Gallagher, C. Ballingall, C. Rock and M. Velazquez 2020. User recommendations for intelligent personal assistants. Journal of Librarianship and Information Science, 52.2: 577–591. Lyons, D.A. 2014. Innovations in mobile broadband pricing. Denver Law Review 92: 453. Mafredas, T., and G. Malaperdas 2021. Archaeological Databases and GIS: Working with Databases. European Journal of Information Technologies and Computer Science 1.3: 1–6. Malaperdas, G., C. Maggidis, E. Karantzali and N. Zacharias 2023. Field Surveying, Geostatistical and GIS Methods in Archaeology. The Mycenaean Spercheios-Valley Project (MY. SPE. AR. Project 2018-2022). Open Access Journal of Archaeology and Anthropology 4.5. May, H., and G. Hearn 2005. The mobile phone as media. International journal of cultural studies 8.2: 195–211. McKessock, G. 2023. A comparison of local and wide area GNSS differential corrections disseminated using the network transport of RTCM via internet protocol (NTRIP). Technical Report no. 249. Department of Geodesy and Geomatics Engineering, University of New Brunswick Meier, R. 2012. Professional Android 4 application development. London: Wiley. Merry, K. and P. Bettinger 2019. Smartphone GPS accuracy study in an urban environment. PloS (Public Library of Science) one 14.7, e0219890. O’Reilly, P. and Α. Duane 2010. Smart mobile media services: Consumer intention model, in MoMM ‘10: Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia: 188–194. Paek, J., J. Kimand and R. Govindan 2010. Energy- efficient rate-adaptive GPS-based positioning for smartphones, in MobiSys ‘10: Proceedings of the 8th international conference on Mobile systems, applications, and services: 299–314. Raychaudhuri, D. and N.B. Mandayam 2012. Frontiers of wireless and mobile communications. Proceedings of the IEEE 100.4: 824–840. Ryan, N., J. Pascoe and D. Morse 1999. Enhanced Reality Fieldwork: the context aware archaeological assistant, in: L. Dingwall, S. Exon, V. Gaffney, S. Laflin and M. van Leusen (eds) Archaeology in the age of the Internet. CAA97. Computer Applications and Quantitative Methods in Archaeology. Proceedings of the 25th Anniversary Conference, University of Birmingham, April 1997 (British Archaeological Reports International Series 750): 269–274. Oxford: Archaeopress. Saffer, D. 2010. Designing for interaction: creating innovative applications and devices. Berkeley: New Riders. Sarkar, A., A. Goyal, D. Hicks, D. Sarkar and S. Hazra 2019. Android application development: A brief overview of android platforms and evolution of security systems, in 2019 Third International conference on I-SMAC: 73–79. Schaefer, M. and T. Woodyer 2015. Assessing absolute and relative accuracy of recreation‐ grade and mobile phone GNSS devices: a method for informing device choice. Area 47.2: 185–196. Stojmenovic, I. 2002. Handbook of wireless networks and mobile computing. New York: Wiley. Ting, C.H. and Y.Y. Chen 2020. Smartphone addiction, in C.A. Essau and P.H. Delfabbro (eds) Adolescent addiction: Epidemiology, assessment, and treatment: 215–240. Elsevier Academic Press. https://doi. org/10.1016/B978-0-12-818626-8.00008-6 Turban, E., D. Leidner, E. McLean and J. Wetherbe 2008. Information technology for management, (With CD). New York: Wiley. Uddin, M.P., M.Z. Islam, M. Nadim and M.I. Afjal 2013. GPS-based location tracking system via Android device. International Journal of Computer Engineering Research 25: 1–7. Vryonis, P., G. Malaperdas, E. Palamara and N. Zacharias 2019. Α historical mortars study assisted by GIS technologies, in A. Moropoulou, M. Korres, A. Georgopoulos, C. Spyrakos and C. Mouzakis (eds) Transdisciplinary multispectral modeling and cooperation for the preservation of Cultural Heritage: First International Conference, TMM_CH 2018, Athens, Greece, October 10–13, 2018, Revised Selected Papers, Part 1: 532–540. Springer International Publishing. Wiggins, R.H. 2004. Personal digital assistants. Journal of Digital Imaging 17.1: 5–17. Xu, Q., J. Erman, A. Gerber, Z. Mao, J. Pangand and S. Venkataraman 2011. Identifying diverse usage behaviors of smartphone apps, in IMC ‘11: Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference (New York): 329- 344. Zheng, P. and L. Ni 2010. Smart phone and next generation mobile computing. Elsevier India.

Published

05/12/2024

How to Cite

Malaperdas , G. (2024). ARCH_DATA APK: Mobile computing in the service of archaeological research . Journal of Greek Archaeology, 9, 97–108. Retrieved from https://archaeopresspublishing.com/ojs/index.php/JGA/article/view/2738

Issue

Section

Mapping the past plotting the future conference papers