Description
This project will focus on understanding and enhancing the indoor navigation process. If people want to move to a specific location and are unsure of the path or an emergency occurs, people require navigational assistance. However for navigational tools to be most effective, we need to make sure people trust the technology in question and the first step towards fostering trust is making sure it functions as good as possible. This project will build on previous work done by both students and researchers at UT and extend their findings.
This project can take multiple shapes depending on the student(s) interests: (1) a utilization of a VR environment that was already in use by students before to evaluate the effectiveness of multi-modal warning signals and navigational cues in a distracting and confusing environment. (2) a requirement analysis of what different people need and want in order to trust a navigational system. This will more likely take the form of a mixed method study with a focus on interviews and an additional survey.
Depending on the study outcome and setup, there is an opportunity to publish this research in an international peer-reviewed journal.
This project will have you work in a larger research team comprised of multiple students across different faculties as well as researchers and the BMS lab. In the team there are also researchers from outside UT (e.g., Human Computer Interaction specialist from the University of Victoria in Canada).
There is a potential for multiple students to collaborate.
Key words
Navigation, trust in technology, stress, fire safety, design requirements, vulnerable populations
Research Questions
How does the use of personalized user profiles, considering the physical abilities of the user, impact trust in navigation technology? What do people need in order to trust a navigational system? What impacts trust in technology?
What type of navigational cues are most effective? What kind of distractions lead to the most stressful environment?
Type of Research
Experimental research. May involve both qualitative and quantitative data. Most probably analysis will be done with R and Atlas.ti.
Information
Please contact Lynn Weiher (l.weiher@utwente.nl) when you are interested in this assignment. The assignment is open to two students.
Literature
Arning, K., Ziefle, M., Li, M., & Kobbelt, L. (2012, December). Insights into user experiences and acceptance of mobile indoor navigation devices. In Proceedings of the 11th international conference on mobile and ubiquitous multimedia (pp. 1-10).
Large, D. R., & Burnett, G. E. (2014). The effect of different navigation voices on trust and attention while using in-vehicle navigation systems. Journal of safety research, 49, 69-e1.
Trapsilawati, F., Wijayanto, T., & Jourdy, E. S. (2019). Human-computer trust in navigation systems: Google maps vs Waze. Communications in Science and Technology, 4(1), 38-43.
Agrawal, A., Abraham, S. J., Burger, B., Christine, C., Fraser, L., Hoeksema, J. M., ... & Cox, S. (2020, April). The next generation of human-drone partnerships: Co-designing an emergency response system. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-13).
Cowlard, A., Bittern, A., Abecassis-Empis, C., & Torero, J. (2013). Fire safety design for tall buildings. Procedia Engineering, 62, 169-181.
Balarin, F., Giusto, P., Jurecska, A., Passerone, C., Sentovich, E., Tabbara, B., ... & Suzuki, K. (2012). Hardware-software co-design of embedded systems: the POLIS approach (Vol. 404). Springer Science & Business Media.
Williams, M. A., Hurst, A., & Kane, S. K. (2013, October). " Pray before you step out" describing personal and situational blind navigation behaviors. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 1-8).
Ge, Y., Qi, H., & Qu, W. (2023). The factors impacting the use of navigation systems: A study based on the technology acceptance model. Transportation research part F: traffic psychology and behaviour, 93, 106-117.
Laor, T., & Galily, Y. (2022). In WAZE we trust? GPS-based navigation application users’ behavior and patterns of dependency. Plos one, 17(11), e0276449.
Li, X., Hess, T. J., & Valacich, J. S. (2008). Why do we trust new technology? A study of initial trust formation with organizational information systems. The Journal of Strategic Information Systems, 17(1), 39-71.
Lankton, N. K., McKnight, D. H., & Tripp, J. (2015). Technology, humanness, and trust: Rethinking trust in technology. Journal of the Association for Information Systems, 16(10), 1.
Butavicius, M., Parsons, K., Lillie, M., McCormac, A., Pattinson, M., & Calic, D. (2020). When believing in technology leads to poor cyber security: Development of a trust in technical controls scale. Computers & Security, 98, 102020.
Lankton, N., McKnight, D. H., & Thatcher, J. B. (2014). Incorporating trust-in-technology into expectation disconfirmation theory. The Journal of Strategic Information Systems, 23(2), 128-145.
Chi, O. H., Jia, S., Li, Y., & Gursoy, D. (2021). Developing a formative scale to measure consumers’ trust toward interaction with artificially intelligent (AI) social robots in service delivery. Computers in Human Behavior, 118, 106700.
Gulati, S., Sousa, S., & Lamas, D. (2019). Design, development and evaluation of a human-computer trust scale. Behaviour & Information Technology, 38(10), 1004-1015.