TY - GEN
T1 - Steering Toward Improvement
T2 - Late breaking papers from the 27th International Conference on Human-Computer Interaction, HCI International 2025
AU - Davis, Erika
AU - Morreale, Patricia
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - This study examines common issues that drivers face when interacting with navigation apps, focusing on usability, clarity of instructions, and app responsiveness. Navigation apps are essential for helping drivers effectively plan their routes. Despite their widespread use, drivers encounter challenges that hinder usability. The navigation apps analyzed include Google Maps, Apple Maps, and Waze. A mixed-methods approach combines surveys and interviews to gather drivers’ subjective feedback, observational studies to analyze real-time app usage, and Think-Aloud protocols to understand users’ decision-making processes. These methodologies explore both the cognitive and behavioral aspects of app interactions, identifying familiar sources of frustration. Together, these methods provide in-depth insights into drivers’ experiences with navigation apps. The findings highlight flaws and offer recommendations for enhancing the overall driving experience. By addressing these challenges, this research supports the development of user-centered solutions that promote safer, more reliable, and efficient driving experiences.
AB - This study examines common issues that drivers face when interacting with navigation apps, focusing on usability, clarity of instructions, and app responsiveness. Navigation apps are essential for helping drivers effectively plan their routes. Despite their widespread use, drivers encounter challenges that hinder usability. The navigation apps analyzed include Google Maps, Apple Maps, and Waze. A mixed-methods approach combines surveys and interviews to gather drivers’ subjective feedback, observational studies to analyze real-time app usage, and Think-Aloud protocols to understand users’ decision-making processes. These methodologies explore both the cognitive and behavioral aspects of app interactions, identifying familiar sources of frustration. Together, these methods provide in-depth insights into drivers’ experiences with navigation apps. The findings highlight flaws and offer recommendations for enhancing the overall driving experience. By addressing these challenges, this research supports the development of user-centered solutions that promote safer, more reliable, and efficient driving experiences.
KW - navigation apps
KW - think-aloud study
KW - user experience
UR - https://www.scopus.com/pages/publications/105028384214
U2 - 10.1007/978-3-032-13083-9_9
DO - 10.1007/978-3-032-13083-9_9
M3 - Conference contribution
AN - SCOPUS:105028384214
SN - 9783032130822
T3 - Lecture Notes in Computer Science
SP - 131
EP - 140
BT - HCI International 2025 - Late Breaking Papers - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings
A2 - Schrepp, Martin
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 June 2025 through 27 June 2025
ER -