Description
This project will focus on fostering trust in navigation applications. 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. By establishing trust in the application's ability to select the optimal routes, potential navigation errors resulting from other factors such as unfamiliarity with the environment or crowd behavior can be mitigated.
The objective of this research project is to explore and test a method in order to foster trust in navigation technology. Past research has shown that previous experience, the type of interaction (e.g., the specific voice used in voice assistance tools) and the technical user skill play a vital role. One potentially new way to increase trust in the technology is to create a personalized user profiles that factor in the physical abilities of the user (e.g., a wheelchair user should not get recommended to take the stairs or go over rough terrain).
Study preparation may include developing a set of static images representing different navigation scenarios. These images should depict various pathways, including both accessible and inaccessible routes for different physical abilities. During the study each participant will be confronted with a series of static images depicting different navigation scenarios. Participants are asked to evaluate and rate the perceived trustworthiness of each pathway in terms of safety and suitability for their specific physical abilities as well as other generic profiles or profiles that take into account physical limitations.
This project will have you work in a larger research team.
Key words
Navigation, trust, trust in technology, avatar identification
Research Questions
How does the use of personalized user profiles, considering the physical abilities of the user, impact trust in navigation technology?
How such a research question is tackled and if it can be adapted depends on the interest of the students. For example the study may be conducted in two phases, including a profile creation and testing phase. It may be a text-based prototype or involve creation of a Unity-based visual setup or a PsychoPy-experiment.
Type of Research
Experimental research. May involve both qualitative and quantitative data. Most probably analysis will be done with R and Atlas.ti.
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.
- 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.
INFORMATION
This project is open to 2 students.
Are you interested in this topic for your thesis? Please contact the theme coordinator Lynn Weiher: l.weiher@utwente.nl