Zhou Chengmin, Shi Ziyan, Huang Ting, Zhao Hanxiao, Kaner Jake
College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing, Jiangsu, China.
Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing, Jiangsu, China.
Front Psychol. 2023 Feb 9;14:1089769. doi: 10.3389/fpsyg.2023.1089769. eCollection 2023.
Smart home technology is increasingly popular, yet not all seniors are receptive and comfortable with it. This situation recognizes that the usability of smart home interfaces is particularly important. Most studies on interface swiping direction demonstrate the advantages of horizontal over vertical swiping, but the findings lack age-based as well as gender-specific judgments.
In this paper, we use cognitive neural techniques of EEG and eye-tracking, combined with a subjective preference questionnaire, to analyze the preference of older persons for the swiping direction of smart home interfaces in a multimodal manner.
The EEG data showed that swiping direction had a significant effect on potential values ( = 0.001). Also, the mean power in the δ and the θ band was enhanced during vertical swiping. Gender had no significant effect on potential values ( = 0.085), but the cognitive task was more EEG stimulating for females. The eye-tracking metrics data showed a significant effect of swiping direction on fixation duration ( = 0.047) and a non-significant effect on pupil diameter ( = 0.576). These results were consistent with the results of the subjective preference questionnaire, both demonstrating a preference for vertical swiping among participants.
This paper uses three research tools simultaneously, combining objective perceptions as well as subjective preferences, to make the findings more comprehensive and reliable. Gender differences were also taken into account and differentiated in the data processing. The findings of this paper are different from most previous studies and better reflect the preference of elderly people for swiping directions, which can provide a reference for the future elderly-friendly smart home interface design.
智能家居技术越来越受欢迎，但并非所有老年人都能接受并适应它。这种情况表明智能家居界面的可用性尤为重要。大多数关于界面滑动方向的研究都表明水平滑动优于垂直滑动，但研究结果缺乏基于年龄和性别的判断。
在本文中，我们使用脑电图（EEG）和眼动追踪等认知神经技术，结合主观偏好问卷，以多模态方式分析老年人对智能家居界面滑动方向的偏好。
脑电图数据显示，滑动方向对电位值有显著影响（ = 0.001）。此外，垂直滑动时δ和θ波段的平均功率增强。性别对电位值没有显著影响（ = 0.085），但认知任务对女性的脑电图刺激更大。眼动追踪指标数据显示，滑动方向对注视持续时间有显著影响（ = 0.047），对瞳孔直径没有显著影响（ = 0.576）。这些结果与主观偏好问卷的结果一致，均表明参与者更喜欢垂直滑动。
本文同时使用了三种研究工具，结合客观感知和主观偏好，使研究结果更全面、可靠。在数据处理中还考虑并区分了性别差异。本文的研究结果与以往大多数研究不同，更好地反映了老年人对滑动方向的偏好，可为未来适老化智能家居界面设计提供参考。
