Dinar M. K. Nugraheni
ABSTRACT
The aim of this paper is to investigate the correlation between ease of use (EOU) and confidence with skill with regard to the use of SMS (Short Messaging Service) for warning messages in an emergency situation. This paper is part of our formative study to investigate the possibility for using SMS in emergency conditions from the users' perspective. The case study that we used was warning messages for an urban kampung flood disaster area in Indonesia. We analysed the users' perception of EOU and confidence with skill when using SMS. This study collected data from 350 participants who live in a flood prone area in Bandar Harjo, Semarang, Indonesia. The data indicated a strong and positive correlation between EOU and confidence with skill for using SMS in emergency conditions. The users' gender, age and level of education influence the strength of the correlation coefficients between EOU and confidence with skill. The users' frequency of use (FOU) did not influence the strength of the correlation coefficients between EOU and confidence with skill.
- Asian and Pacific training centre (APCICT). 2010. ICT for Disaster Risk Reduction. Retrieved May 22, 2014 from http://www.preventionweb.net/files/14338_14338ICTDCaseStudy21.pdf.Google Scholar
- Basher, R.2006. Global early warning systems for natural hazards: systematic and people-centred, 364, 1845: 2167-2182Google Scholar
- Bevan, N. 1999. Quality in use: Meeting user needs for quality, Journal of Systems and Software, 49, 1: 89--96 Google ScholarDigital Library
- Battle, L. 2005. Patterns of integration: Bringing user centered design into the software development lifecycle. Human-Centered Software Engineering---Integrating Usability in the Software Development Lifecycle, Springer, 287--308Google Scholar
- Bradley, N. A., & Dunlop, M. D. 2005. Toward a Multidisciplinary Model of Context to Support Context-Aware. Computing: Human--Computer Interaction, 20, Tandfonline.com. Retrieved May 17, 2014 from http://www.tandfonline.com/doi/abs/10.1207/s15327051hci2004_2.Google Scholar
- Chowdhury, G.G & Chowdhury, S. 2011. Information users and usability in the digital age. Neal-Schuman Publisher, Inc.Google Scholar
- Davis, F. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13, 3 (1989), 319. http://dx.doi.org/10.2307/249008 Google ScholarDigital Library
- Dal Grande, C. Chittleborough, S. Campostrini, M. Dollard and A.Taylor. 2016. Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey: An Experimental Study, PLOS ONE, 1, 2(2016)Google Scholar
- Dillon, A. and Morris, M.G. 1996. User acceptance of new information technology: theories and models.Google Scholar
- Eason, K.D. 1984. Towards the experimental study of usability', Behaviour & Information Technology, 3, 2(1984), 133--143 Google ScholarCross Ref
- Florence, J.F.P.J. 2013. SPSS survival manual: a step by step guide to data analysis using IBM SPSS (5th edition.), Allen & Unwin.Google Scholar
- Funo, S., Yamamoto, N., & Silas, J. 2002. Typology of kampung houses and their transformation process. Journal of Asian architecture and building engineering, 1, 2: 193--200. Google ScholarCross Ref
- Gabbard, J.L., Hix, D., and Swan, J.E. 1999. User-centered design and evaluation of virtual environments. Computer Graphics and Applications, IEEE, 19, 6(1999), 51--59 Google ScholarDigital Library
- Gauld, R., Goldfinch, S., and Horsburgh, S. 2010. Do they want it? Do they use it? The 'Demand-Side' of e-Government in Australia and New Zealand Government Information Quarterly, 27, (2), 177--186.Google Scholar
- Gefen, D., and Straub, D.W. 1997. Gender differences in the perception and use of e-mail: An extension to the technology acceptance model, MIS quarterly, 389--400. Google ScholarDigital Library
- Hallahan, K. 2001. Improving public relations web sites through usability research. Public Relations Review, 27, 2: 223--239. Google ScholarCross Ref
- Jackson, L. A., Zhao, Y., Kolenic III, A., Fitzgerald, H. E., Harold, R., & Von Eye, A. 2008. Race, gender, and information technology use: the new digital divide. CyberPsychology & Behavior, 11, 4: 437--442. Google ScholarCross Ref
- Jumisko-Pyykkö, S., & Vainio, T. 2012. Framing the context of use for mobile HCI In Social and Organizational Impacts of Emerging Mobile Devices: Evaluating Use, 217.Google Scholar
- Keil, M., Beranek, P. M., & Konsynski, B. R. (1995). Usefulness and ease of use: field study evidence regarding task considerations. Decision Support Systems, 13, 1(1995), 75--91. http://dx.doi.org/10.1016/0167-9236(94)E0032-M Google ScholarDigital Library
- Kesper, A. 2007. Warning Dissemination Technologies for Tsunami Early Warning in Local Communities: Book Warning Dissemination Technologies for Tsunami Early Warning in Local Communities, retrieved Nov 24, 2016 from http://www.preventionweb.net/files/12175_12175WarningDisseminationTechnologi.pdfGoogle Scholar
- Nielsen, J., & Levy, J. 1994. Measuring usability: preference vs. performance. Communication ACM, 37, 4(1995), 66--75. http://dx.doi.org/10.1145/175276.175282 Google ScholarDigital Library
- Nugraheni, D. M. K., & Vries, D. d. 2015. Improving the Effectiveness of the Dissemination Method in Disaster Early Warning Message. In E-Proceeding of the International Conference on Information Technology & Society 2015. 504--511.Google Scholar
- Nugraheni, D. M. K., & Vries, D. d. 2016. Profile of a typical mobile SMS user in emergency situations (empirical study in an urban flood prone area). In 2016 2nd International Conference on Science in Information Technology (ICSITech), (2016). http://dx.doi.org/10.1109/ICSITech.2016.7852615 Google ScholarCross Ref
- Nunes, I. L. 2006. Ergonomics and Usability--key factors in Knowledge Society. Retrieved Nov 24, 2016 from https://run.unl.pt/bitstream/10362/1725/1/Nunes_EWIS2_2006.pdfGoogle Scholar
- OECD (Organisation for Economic Co-operation and Development). 2001. Understanding the Digital Divide, retrieved Nov 24, 2016 from http://www.oecd.org/sti/1888451.pdf.Google Scholar
- Ong, C.-S., & Lai, J.-Y. 2006. Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22, 5(2006), 816--829. Google ScholarCross Ref
- Parasuraman, A. 2000. Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of service research, 2 (2000), 307--320. Google ScholarCross Ref
- Parker, D.J., Priest, S.J., and Tapsell, S.M. (2009), Understanding and enhancing the information, Meteorological Applications, 16(2009), 103--114. Google ScholarCross Ref
- Petrie, H., and Bevan, N.2009, The evaluation of accessibility, usability and user experience, The universal access handbook, 10--20.Google Scholar
- Porter, C.E. and Donthu, N.2006. Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics, Journal of business research, 59, 9(2006), 999--1007 Google ScholarCross Ref
- Redwing. 2016. Indonesia's telecoms market - Redwing, retrieved Nov 24, 2016 from http://redwing-asia.com/market-data/market-data-telecoms/Google Scholar
- Runeson, P., & Höst, M. 2009. Guidelines for conducting and reporting case study research in software engineering. Empirical Software Engineering, 14, 2, 131--164. http://dx.doi.org/10.1007/s10664-008-9102-8 Google ScholarDigital Library
- Statista. 2016. Number of mobile device users who sent texts messages in the United Kingdom (UK) as of September 2013, "Number of mobile text message senders by demographic UK 2013 | Survey". Retrieved August 10, 2016 from http://www.statista.com/statistics/309622/number-of-mobile-text-message-senders-by-demographic-uk/.Google Scholar
- Statista. 2016. Usage penetration of text messaging (SMS) in France in 2014, "SMS usage in France by education 2014 Retrieved August 10, 2016 from http://www.statista.com/statistics/410961/sms-usage-infrance-by-education.Google Scholar
- Statista. 2016. Share of U.S. cell phone owners who used their phone to send and receive messages in 2012 and 2013, "U.S. cell phone owners: phone used for texting 2012-2013, by education | Survey". Retrieved August 10, 2016 from http://www.statista.com/statistics/247676/us-cell-phone-owners-who-used-their-phone-for-texting-by-education/. [Accessed: 10- Aug- 2016].Google Scholar
- Velasquez. J, D., Cumiskey, L., Werner, M., Meijer, K., Fakhruddin, S., and Hassan, A. 2015 Improving the social performance of flash flood early warnings using mobile services, International Journal of Disaster Resilience in the Built Environment, 6, 1(2015), 57--72 Google ScholarCross Ref
- Vredenburg, K., Mao, J.-Y., Smith, P. W., & Carey, T. 2002. A survey of user-centered design practice. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Minneapolis, Minnesota, USA, 4, 1(2002), 471--478.Google ScholarDigital Library
- Wilson, T. D. 2000. Human information behavior. Informing science, 3, 2(2000), 49--56.Google Scholar
- Yap, N. T. 2011. Disaster Management, Developing Country Communities & Climate Change: The Role of ICTs. Retrieved Nov 24, 2016 from http://pt.esacproject.net/sites/intranet.esacproject.net/files/yapdisastermanagementdevelopmenticts.pdfGoogle Scholar
Index Terms
- Users' perception of ease of use (EOU) and confidence with skill using SMS in emergency conditions
Recommendations
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
Much previous research has established that perceived ease of use is an important factor influencing user acceptance and usage behavior of information technologies. However, very little research has been conducted to understand how that perception forms ...
The Mediating of Perceived Usefulness and Perceived Ease of Use: The Case of Mobile Banking in Yemen
While there are a wide range of business opportunities available via mobile technologies, mobile banking services have not been widely accepted by bank clients in Yemen. This article aims to test the mediation effect of TAM core constructs between the ...
Does ease-of-use contributes to the perception of enjoyment? A case of gamification in e-banking
AbstractThe success of online games encouraged the development of gamification software in e-banking. Beside the growing trend of gamification, it is important understand how bank customers face the gamified applications, particularly as ...
Highlights- Two studies, are presented to analyse the ease-of-use and enjoyment influence.
- ...
Comments