A DEMATEL method in identifying design requirements for mobile environments: students’ perspectives
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Abstract
The understanding of the design of mobile phones is somewhat different from other devices and products. This is properly due to the limited design capacity of mobile phones which need to be maintained within a small screen. One aspect for consideration is the relationship between certain design elements and users’ usage behavior and perception of the device. This study examined the feasibility of multiple-criteria decision making, known as the decision-making trial evaluation laboratory (DEMATEL), for identifying the key design patterns necessary for promoting users use of mobile devices. Precisely, we studied users’ direct, indirect, and interdependent behaviors in relation to seven mobile design patterns, including dealing with data, providing input, navigation, notification, personalization, screen interaction, and social activity. A DEMATEL model was generated for 75 students using these dimensions. The results showed that patterns corresponding to users’ interactions with the screen, dealing with data, and navigation were the core factors that can potentially aid the design of mobile environments. Our findings can be used by educational designers of mobile applications to form better design scenarios that are closely connected to a specific task and setting.
Keywords
Mobile environments HCI Decision-making User design requirements Higher educationNotes
Acknowledgements
The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group No (RG-1438-062).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
References
- Ahlgren, R., & Markkula, J. (2005). Design patterns and organisational memory in mobile application development. Paper presented at the International Conference on Product Focused Software Process Improvement.Google Scholar
- Ally, M. (2004). Using learning theories to design instruction for mobile learning devices. In J. Attewell & C. Savill-Smith (Eds.), Mobile learning anytime, anywhere: A book of papers from MLEARN 2004. Retrieved June 21, 2016 from http://www.mobilearn.org/download/events/mlearn_2004/MLEARN_%202004_book_of_conference_papers.pdf.
- Al-Samarraie, H., & Ahmad, Y. (2016). Use of design patterns according to hand dominance in a mobile user interface. Journal of Educational Computing Research, 54(6), 769–792.CrossRefGoogle Scholar
- Al-Samarraie, H., Sarsam, S. M., & Guesgen, H. (2016). Predicting user preferences of environment design: A perceptual mechanism of user interface customisation. Behaviour & Information Technology, 35(8), 644–653.CrossRefGoogle Scholar
- Bai, C., & Sarkis, J. (2013). A grey-based DEMATEL model for evaluating business process management critical success factors. International Journal of Production Economics, 146(1), 281–292.CrossRefGoogle Scholar
- Belay, E. G., McCrickard, D. S., & Besufekad, S. A. (2016). Mobile user interaction development for low-literacy trends and recurrent design problems: A perspective from designers in developing country. Paper presented at the International Conference on Cross-Cultural Design.Google Scholar
- Bleecker, J. (2006). What’s your social doing in my mobile? Design patterns for mobile social software. Paper presented at the WWW2006 Workshop “MobEA IV—Empowering the Mobile Web.Google Scholar
- Chang, K.-E., Wu, L.-J., Lai, S.-C., & Sung, Y.-T. (2016). Using mobile devices to enhance the interactive learning for spatial geometry. Interactive Learning Environments, 24(4), 916–934.CrossRefGoogle Scholar
- Ciolfi, L. (2004). Understanding spaces as places: Extending interaction design paradigms. Cognition, Technology & Work, 6(1), 37–40.CrossRefGoogle Scholar
- Eisenstein, J., Vanderdonckt, J., & Puerta, A. (2000). Adapting to mobile contexts with user-interface modeling. Paper presented at the Third IEEE Workshop on Mobile Computing Systems and Applications.Google Scholar
- Endsley, M. R. (2011). Designing for situation awareness: An approach to user-centered design. Cambridge: CRC Press.CrossRefGoogle Scholar
- Eshet, E., & Bouwman, H. (2015). Approaching users and context of use in the design and development of mobile systems. In International conference of design, user experience, and usability (pp. 508–519). Cham: Springer.CrossRefGoogle Scholar
- Galitz, W. O. (2007). The essential guide to user interface design: An introduction to GUI design principles and techniques. New York: Wiley.Google Scholar
- Gandhewar, N., & Sheikh, R. (2010). Google Android: An emerging software platform for mobile devices. International Journal on Computer Science and Engineering, 1(1), 12–17.Google Scholar
- Garcia-Cabot, A., de-Marcos, L., & Garcia-Lopez, E. (2015). An empirical study on m-learning adaptation: Learning performance and learning contexts. Computers & Education, 82, 450–459.CrossRefGoogle Scholar
- Gryszkiewicz, A., & Chen, F. (2012). Temporal aspects in crisis management and its implications on interface design for situation awareness. Cognition, Technology & Work, 14(2), 169–182.CrossRefGoogle Scholar
- Hassenzahl, M. (2008). User experience (UX): Towards an experiential perspective on product quality. Paper presented at the Proceedings of the 20th International Conference of the Association Francophone d’Interaction Homme-Machine.Google Scholar
- Hoffmann, A., Söllner, M., Fehr, A., Hoffmann, H., & Leimeister, J. M. (2011). Towards an approach for developing socio-technical ubiquitous computing applications. In Proceedings of Sozio-technisches Systemdesign im Zeitalter des Ubiquitous Computing (SUBICO 2011) im Rahmen der Informatik.Google Scholar
- Hoggan, E., Brewster, S. A., & Johnston, J. (2008). Investigating the effectiveness of tactile feedback for mobile touchscreens. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.Google Scholar
- Hoober, S., & Berkman, E. (2011). Designing mobile interfaces: Patterns for interaction design. Newton, MA: O’Reilly Media, Inc.Google Scholar
- Hsu, C.-W., Kuo, T.-C., Chen, S.-H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of Cleaner Production, 56, 164–172.CrossRefGoogle Scholar
- Hu, Z., Ma, Y., Mei, Q., & Tang, J. (2017). Roaming across the castle tunnels: An empirical study of inter-app navigation behaviors of Android users. arXiv preprint arXiv:1706.08274.
- Humayoun, S. R., Hess, S., Kiefer, F., & Ebert, A. (2014). Patterns for designing scalable mobile app user interfaces for multiple platforms. Paper presented at the Proceedings of the 28th international BCS human computer interaction conference on HCI 2014-Sand, Sea and Sky-Holiday HCI.Google Scholar
- Jäppinen, A., Nummela, J., Vainio, T., & Ahonen, M. (2004). Adaptive mobile learning systems—the essential questions from the design perspective. In Proceedings of Mlearn 2004 (pp. 109–112). Roma, Italy.Google Scholar
- Kalbach, J. (2007). Designing Web navigation: Optimizing the user experience. Newton, MA: O’Reilly Media, Inc.Google Scholar
- Kaptelinin, V., & Bannon, L. J. (2012). Interaction design beyond the product: Creating technology-enhanced activity spaces. Human-Computer Interaction, 27(3), 277–309.Google Scholar
- Kayastha, N., Niyato, D., Wang, P., & Hossain, E. (2011). Applications, architectures, and protocol design issues for mobile social networks: A survey. Proceedings of the IEEE, 99(12), 2130–2158.CrossRefGoogle Scholar
- Kujala, S., Walsh, T., Nurkka, P., & Crisan, M. (2014). Sentence completion for understanding users and evaluating user experience. Interacting with Computers, 26(3), 238–255.CrossRefGoogle Scholar
- Kumar, B. A., & Mohite, P. (2016). Usability guideline for mobile learning apps: An empirical study. International Journal of Mobile Learning and Organisation, 10(4), 223–237.CrossRefGoogle Scholar
- Lee, S., & Koubek, R. J. (2010). Understanding user preferences based on usability and aesthetics before and after actual use. Interacting with Computers, 22(6), 530–543.CrossRefGoogle Scholar
- Li, C.-W., & Tzeng, G.-H. (2009). Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall. Expert Systems with Applications, 36(6), 9891–9898.CrossRefGoogle Scholar
- Liu, S., & Boyle, I. M. (2009). Engineering design: Perspectives, challenges, and recent advances. Journal of Engineering Design, 20(1), 7–19.CrossRefGoogle Scholar
- Liu, B., Wu, Y., Gong, N. Z., Wu, J., Xiong, H., & Ester, M. (2016). Structural analysis of user choices for mobile app recommendation. ACM Transactions on Knowledge Discovery from Data (TKDD), 11(2), 17.CrossRefGoogle Scholar
- Low, L., & O’Connell, M. (2006). Learner-centric design of digital mobile learning. Paper presented at the Proceedings of the OLT Conference.Google Scholar
- Neil, T. (2014). Mobile design pattern gallery: UI patterns for smartphone apps. Newton, MA: O’Reilly Media, Inc.Google Scholar
- Nilsson, E. G. (2009). Design patterns for user interface for mobile applications. Advances in Engineering Software, 40(12), 1318–1328.CrossRefGoogle Scholar
- Nilsson, T., Hogsden, C., Perera, C., Aghaee, S., Scruton, D. J., Lund, A., et al. (2016). Applying seamful design in location-based mobile museum applications. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 12(4), 56.Google Scholar
- Ocak, N., & Cagiltay, K. (2017). Comparison of cognitive modeling and user performance analysis for touch screen mobile interface design. International Journal of Human–Computer Interaction, 33(8), 633–641.CrossRefGoogle Scholar
- Panca, B. S., Mardiyanto, S., & Hendradjaya, B. (2016). Evaluation of software design pattern on mobile application based service development related to the value of maintainability and modularity. Paper presented at the International Conference on Data and Software Engineering (ICoDSE).Google Scholar
- Parsons, D., Ryu, H., & Cranshaw, M. (2006). A study of design requirements for mobile learning environments. Paper presented at the Sixth International Conference on Advanced Learning Technologies.Google Scholar
- Pejovic, V., Musolesi, M., & Mehrotra, A. (2015). Investigating the role of task engagement in mobile interruptibility. Paper presented at the Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct.Google Scholar
- Pellerin, M. (2014). Language tasks using touch screen and mobile technologies: Reconceptualizing task-based CALL for young language learners. Canadian Journal of learning and Technology, 40(1), n1.Google Scholar
- Redström, J. (2006). Towards user design? On the shift from object to user as the subject of design. Design Studies, 27(2), 123–139.CrossRefGoogle Scholar
- Rogers, C. (2016). Mobile learning with active navigation. Paper presented at the E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education.Google Scholar
- Roth, J. (2002). Patterns of mobile interaction. Personal and Ubiquitous Computing, 6(4), 282–289.CrossRefGoogle Scholar
- Sarker, S., & Wells, J. D. (2003). Understanding mobile handheld device use and adoption. Communications of the ACM, 46(12), 35–40.CrossRefGoogle Scholar
- Sellberg, C., & Susi, T. (2014). Technostress in the office: A distributed cognition perspective on human–technology interaction. Cognition, Technology & Work, 16(2), 187–201.CrossRefGoogle Scholar
- Seong, D. S. K. (2006). Usability guidelines for designing mobile learning portals. Paper presented at the Proceedings of the 3rd international conference on mobile technology, applications & systems.Google Scholar
- Shambaugh, N., & Floyd, K. (2017). Universal design for learning (UDL) guidelines for mobile devices and technology integration in teacher education. In Handbook of research on digital content, mobile learning, and technology integration models in teacher education (pp. 1–12).Google Scholar
- Sharples, M. (2000). The design of personal mobile technologies for lifelong learning. Computers & Education, 34(3), 177–193.CrossRefGoogle Scholar
- Shieh, J.-I., Wu, H.-H., & Huang, K.-K. (2010). A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3), 277–282.CrossRefGoogle Scholar
- Tidwell, J. (2010). Designing interfaces: Patterns for effective interaction design. Newton, MA: O’Reilly Media, Inc.Google Scholar
- Ting, Y.-L. (2013). Using mobile technologies to create interwoven learning interactions: An intuitive design and its evaluation. Computers & Education, 60(1), 1–13.CrossRefGoogle Scholar
- Viberg, O., & Grönlund, Å. (2017). Understanding students’ learning practices: Challenges for design and integration of mobile technology into distance education. Learning, Media and Technology, 42(3), 357–377.CrossRefGoogle Scholar
- Wiredu, G. O. (2010). Historical perception as a complementary framework for understanding the usability of mobile computers. Cognition, Technology & Work, 12(3), 205–217.CrossRefGoogle Scholar
- Zhai, Z., Cheng, B., Wang, Z., Liu, X., Liu, M., & Chen, J. (2016). Design and implementation: The end user development ecosystem for cross-platform mobile applications. Paper presented at the proceedings of the 25th international conference companion on World Wide Web.Google Scholar