Abstract
The purpose of this paper is to improve the aging suitability of ATM human-machine interface and to improve the experience of elderly users using ATM human-machine interface. The interface was tested using an eye-tracking device, and the degree of aging suitability of the interface was analyzed and evaluated using SUS system usability scale scores, eye-tracking index data and offline user interviews. It was also concluded that the ATM with top and bottom functional module layout is more suitable for elderly users. And three design strategies are proposed: first, enhance the contrast of the interface function modules to meet the visual perception of the elderly; second, ensure the rationality of the interface layout to meet the vision range of the elderly; third, improve the effectiveness of the interface information to adapt to the visual acuity of the elderly. The above design strategies can provide relevant information for policy makers and ATM suppliers to improve the acceptance of ATMs by the elderly and to improve the ageing of ATMs.
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References
Ying, W., et al.: Research on public product design based on the characteristics of rural elderly people’s life style. Decoration 58(6), 136–137 (2015)
Yi, H.: Analysis of the current situation of population aging in China. Chin. Gerontol. 32(21), 4853–4855 (2012)
Xu, S.: Analysis of the demand for senior financial services of commercial banks in the context of population aging. Mod. Econ. Inf. 02 (2016)
Lv, F.: Research on the universal design of ATM machine interface based on eye tracking. Zhejiang University of Technology (2017)
E M.S.: Research on digital interface interaction design of senior products based on visual characteristics. Nanjing University of Technology (2015)
Cui, Z., Chen, Y., Hao, L.: A review of the research dynamics of healthy light environment in human living space based on the visual characteristics of the elderly. J. Lighting Eng. 27(05), 21–26+86 (2016)
Yue, W.: Research on interface interaction design based on the cognitive characteristics of the elderly. Nanjing University of Science and Technology (2018)
Shao, K.: Research on ATM interface design under the perception of the elderly. Jiangnan University (2010)
Guo, F., Shi, C., Chen, P., Zhu, L.: Research on effective visual field testing for elderly drivers. Hum. Ergon. 25(01), 52–59 (2019)
E M.S.: Research on digital interface interaction design of elderly products based on visual characteristics. Nanjing University of Science and Technology (2015)
Shoji, T., Mine, I., Kumagai, T., et al.: Age-dependent changes in visual sensitivity induced by moving fixation points in adduction and abduction using imo perimetry. Sci. Rep. 10, 21175 (2020)
Wang, Y.F.: A study on the establishment of a human factors database architecture for the elderly: a product design for the convenience of the elderly. Tongji University, Shanghai (2009)
Guan, S., Yu, F.: Research on human-machine interface design of vending machine based on eye-tracking. Packag. Eng. 40(08), 230–236 (2019)
Liu, Q., Xue, C., Falk, H.: Evaluation of interface usability based on eye-tracking technology. J. Southeast Univ. 40(2), 331–334 (2010)
Peng, H.M., Shen, J.L.: Comparison of the role of visual acuity and contrast sensitivity in processing speed and working memory aging. In: Abstracts of the 10th National Psychology Conference. Chinese Psychological Society (2005). 47
Yu, X., Lv, S., Wu, J., Miyamoto, S.: A study on the impact of aging on dynamic visual field. Comput. Appl. Res. 30(09), 2684–2688 (2013)
Dan, D.: Research on age-appropriate design of interface interaction based on visual selective attention. Nanjing University of Science and Technology (2017)
Chen, Z.: Application of cognitive psychology in UI interface design. Packag. Eng. 38(16), 30–33 (2017)
Wang, Y., Lu, F.Q.: Usability testing of ATM machine interface based on eye-movement data. Hum. Ergon. 23(01), 48–54 (2017)
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Zhang, J., Huang, T. (2022). Research on Aging Design of ATM Human-Machine Interface Based on Visual Features. In: Kurosu, M. (eds) Human-Computer Interaction. User Experience and Behavior. HCII 2022. Lecture Notes in Computer Science, vol 13304. Springer, Cham. https://doi.org/10.1007/978-3-031-05412-9_19
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DOI: https://doi.org/10.1007/978-3-031-05412-9_19
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