Skip to main content

Mobile Applications Usability Parameters: Taking an Insight View

  • Conference paper
  • First Online:
Information and Communication Technology for Sustainable Development

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 9))

Abstract

Nowadays, mobiles are like the general purpose computers with inbuilt sensors, constant access to Internet and a huge variety of applications. Different applications are categorized in such a way that they can perform their task in the best possible manner. Usability of mobile applications is the ability of an individual to use the application for its intended purpose without getting frustrated. In this paper, the attention draws on the major usability factors of different applications. After finding out the factors, we are trying to give the brief introduction of various methodologies used to rank the factors and the structural relationships among these parameters are modeled. Major techniques among them are interpretive structural modeling (ISM) approach, analytical hierarchal approach (AHP) and DEMETAL (decision-making trial and evaluation technique). These methodologies are used to identify parameters affecting mobile applications, and the structural relationships between these parameters are modeled.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hardy R, Rukzio E (2009) Exploring expressive NFC-based mobile phone interaction with large dynamic displays. In: First international workshop on near field communication

    Google Scholar 

  2. Brodt A (2012) A mobile data management architecture for interoperability of resource and context data. In: 12th IEEE (international conference on mobile data management

    Google Scholar 

  3. Forman G, Zahorjan J (1994) The challenges of mobile computing. IEEE Comput

    Google Scholar 

  4. Hazarika P (2014) Recommendations for webview based mobile applications on android. In: IEEE international conference on advanced communication control and computing technologies (ICACCCT)

    Google Scholar 

  5. Constantinos K (2012) Coursaris: a meta-analytical review of empirical mobile usability studies. JUS J 6(3):117–171

    Google Scholar 

  6. Definition of mobile applications. https://www.nngroup.com/articles/mobile-native-apps/

  7. Kwahka J, Han SH (2002) A methodology for evaluating the usability of audiovisual consumer electronic products. Elsevier science

    Google Scholar 

  8. Bevan N, Curson I Methods for measuring usability

    Google Scholar 

  9. Harrison R, Flood D, Duce D (2013) Usability of mobile applications: literature review an d rationale for a new usability model. J Interact Sci

    Google Scholar 

  10. Saleh A, Isamil RB, Fabil NB (2015) Extension of PACMAD model for usability evaluation metrics using goal question metrics (gqm) approach. J Theor Appl Inf Technol 79(1):1992–8645

    Google Scholar 

  11. Patel N, Dalal P (2013) Usability evaluation of mobile applications. Int J Eng Res Technol (IJERT) 2(11):2278–018

    Google Scholar 

  12. Saleh AM, Ismail RB Usability evaluation frameworks of mobile application: a mini-systematic literature review

    Google Scholar 

  13. Scott gerber. http://thenextweb.com/apps/2015/08/28/10-usability-considerations-mobile-app/#gref

  14. Nayebi F, Desharnais JM, Abran A The state of the art of mobile application usability evaluation

    Google Scholar 

  15. Coursaris CK, Kim DJ (2011) A meta-analytical review of empirical mobile usability studies. J Usability Stud 6(3):117–171

    Google Scholar 

  16. Xu L, Yang JB (2011) Introduction to multi-criteria decision making and the evidential reasoning approach

    Google Scholar 

  17. Gavade RK (2012) Multi-criteria decision making: an overview of different selection problems and methods: (IJCSIT). Int J Comput Sci Inf Technol 5(4):5643–5646

    Google Scholar 

  18. Triantaphyllou E, Shu B, Sanchez SN, Ray T (1998) Multi-criteria decision making: an operations research approach. In: Webster JG (ed) Encyclopedia of electrical and electronics engineering, vol 15. Wiley, New York, NY, pp 175–186

    Google Scholar 

  19. Arabameri A (2014) Application of the analytic hierarchy process (AHP) for locating fire stations: case study Maku city. Merit Res J Art, Soc Sci Humanit 2(1):001–010, ISSN 2350–2258

    Google Scholar 

  20. Abu-Sarhan Z (2011) Application of analytic hierarchy process (AHP) in the evaluation and selection of an information system reengineering projects. IJCSNS Int J Comput Sci Netw Secur 11(1)

    Google Scholar 

  21. Saaty TL (2008) Decision making with the analytic hierarchy process: Int J Serv Sci 1(1)

    Google Scholar 

  22. Definition of multi attribute utility theory. http://www.hsor.org/what_is_or.cfm?name=mutli-attribute_utility_theory

  23. Definition of MAUT. http://www.prismleadership.com/300/MAUT.html

  24. Guerrero-Baena MD, Gómez-Limón JA, Fruet Cardozo JV Are multi-criteria decision making techniques useful for solving corporate finance problems? pp 60–79

    Google Scholar 

  25. Kabassi K, Virvou M (2014) Multi-attribute utility theory and adaptive techniques for intelligent web-based educational software: Instr Sci 34(2):313–158

    Google Scholar 

  26. Sushil Interpreting the interpretive structural model. Global J Flex Syst Manage 0972–2696

    Google Scholar 

  27. George JP, Pramod VR (2014) An interpretive structural model (ISM) analysis approach in steel rerolling mills (SRRMs). IMPACT: Int J Res Eng Technol (IMPACT: IJRET) 2:161–174, ISSN 2321–8843

    Google Scholar 

  28. Jayalakshmi B (2014) Interpretive structural modeling of the inhibitors of wireless control system in industry. In: International conference on industrial engineering and operations management, Bali, Indonesia, January 7–9

    Google Scholar 

  29. Panda BN, Biswal BB, Deepak BBLV (2014) Integrated AHP and fuzzy TOPSIS approach for the selection of a rapid prototyping process under multi-criteria perspective. In: 5th international & 26th all india manufacturing technology, design and research conference (AIMTDR 2014) IIT Guwahati, Assam, India, December (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sakshi Goel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Goel, S., Nagpal, R., Mehrotra, D. (2018). Mobile Applications Usability Parameters: Taking an Insight View. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-3932-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-3932-4_4

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3931-7

  • Online ISBN: 978-981-10-3932-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics