Abstract
The driver usually touches the central control screen several times to complete specific vehicle settings. This series of touch points can be connected into a trajectory. The meander of trajectory will affect the efficiency, load and satisfaction of HMI. The objective of this study was to investigate the influence of trajectory meander on HMI from the perspective of ergonomics. To achieve the research objective, three touch paths with different meandering degrees (0°, 90°, 180°) are designed and user experiment was conducted. The independent variables were the finger movement velocity, task load and satisfaction. The results indicated that clicking in the vertical direction will cause a large workload, and the click path in the horizontal direction should not be designed too long. Horizontal turn back clicking in a small range may be a scheme with high efficiency and low load.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zaidi, F., Bastien, C., Chalandon, X., Moiselet, L., Thianche, E.: The research-practice gap: an explanatory factor for automotive HMI customers’ complaints?. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) IEA 2018. Advances in Intelligent Systems and Computing, vol. 824, pp. 744–755. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-96071-5_78
Vieira, J., et al.: Kansei engineering as a tool for the design of in-vehicle rubber keypads. Appl. Ergon. 61, 1–11 (2017)
Gonzalez-Calleros, J., et al.: Automated UI evaluation based on a cognitive architecture and UsiXML. Sci. Comput. Program. 86, 43–57 (2014)
Kim, H., Song, H.: Evaluation of the safety and usability of touch gestures in operating in-vehicle information systems with visual occlusion. Appl. Ergon. 45(3), 789–798 (2014)
Li, R., et al.: Effects of interface layout on the usability of In-Vehicle Information Systems and driving safety. Displays 49, 124–132 (2017)
Kim, H., et al.: The effect of touch-key size on the usability of In-Vehicle Information Systems and driving safety during simulated driving. Appl. Ergon. 45(3), 379–388 (2014)
Jung, S., et al.: Effect of touch button interface on in-vehicle information systems usability. Int. J. Hum.-Comput. Inter. 37(15), 1404–1422 (2021)
Jeong, H., Liu, Y.: Effects of touchscreen gesture’s type and direction on finger-touch input performance and subjective ratings. Ergonomics 60(11), 1528–1539 (2017)
Chen, R., Huang, J., Zhou. J.: Skeuomorphic or flat icons for an efficient visual search by younger and older adults?. Appl. Ergon. 85, 103073 (2020)
Akyeampong, J., et al.: Evaluation of hydraulic excavator Human-Machine Interface concepts using NASA TLX. Int. J. Ind. Ergon. 44(3), 374–382 (2014)
Tsai, T., Tseng, K.C., Chang, Y.: Testing the usability of smartphone surface gestures on different sizes of smartphones by different age groups of users. Comput. Hum. Behav. 75, 103–116 (2017)
Lee, Y., et al.: Understanding the relationship between user’s subjective feeling and the degree of side curvature in smartphone. Appl. Sci. 10(9), 3320 (2017)
Xu, N., et al.: Usability study of two in-vehicle information systems using finger tracking and facial expression recognition technology. Int. J. Hum.-Comput. Interact. 34(11), 1032–1044 (2018)
Lewis, J.R.: IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int. J. Hum.-Comput. Interact. 7(1), 57–78 (1995)
Tang, Q., Guo, G. and Zhang, Q.: Empirical research on a driver's preference for onboard navigation or portable navigation. In: 2021 5th CAA International Conference on Vehicular Control and Intelligence (2021)
Toh, S.H., et al.: A prospective longitudinal study of mobile touch screen device use and musculoskeletal symptoms and visual health in adolescents. Appl. Ergon. 85, 103028 (2020)
Xue, H., et al.: Ergonomics Evaluation of Cabin Human–Machine Interface Based on SHEL Model, pp. 623–629. Springer Singapore (2019)
Disselhorst-Klug, C., Schmitz-Rode, T., Rau, G: Surface electromyography and muscle force: limits in sEMG-force relationship and new approaches for applications. Clin. Biomech. 24(3), 225–235 (2009)
González-Izal, M., Malanda, A., Gorostiaga, E., Izquierdo, M.: Electromyographic models to assess muscle fatigue. J. Electromyogr. Kinesiol. 22(4), 501–512 (2012)
Chang, J., Choi, B., Tjolleng, A., Jung, K.: Effects of button position on a soft keyboard: muscle activity, touch time, and discomfort in two-thumb text entry. Appl. Ergon. 60, 282–292 (2017)
Barszap, A.G., Skavhaug, I., Joshi, S.S.: Effects of muscle fatigue on the usability of a myoelectric human-computer interface. Hum. Mov. Sci. 49, 225–238 (2016)
Li, W., et al.: A spontaneous driver emotion facial expression (DEFE) dataset for intelligent vehicles: emotions triggered by video-audio clips in driving scenarios. IEEE Trans. Affect. Comput. 1 (2021)
Li, W., et al.: Visual-attribute-based emotion regulation of angry driving behaviours. IEEE Intell. Transp. Syst. Mag. 1 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Tang, Q., Zhang, Q., Guo, G. (2022). Ergonomics Evaluation of In-Vehicle HMI Based on Meander of Finger Trajectory. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2022. Lecture Notes in Computer Science, vol 13335. Springer, Cham. https://doi.org/10.1007/978-3-031-04987-3_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-04987-3_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-04986-6
Online ISBN: 978-3-031-04987-3
eBook Packages: Computer ScienceComputer Science (R0)