Human–computer interaction (HCI) is particularly interesting because full-immersive technology may be approached differently by users, depending on the complexity of the interaction, users’ personality traits, and their motivational systems inclination. Therefore, this study investigated the relationship between psychological factors and attention towards specific tech-interactions in a smart home system (SHS). The relation between personal psychological traits and eye-tracking metrics is investigated through self-report measures [locus of control (LoC), user experience (UX), behavioral inhibition system (BIS) and behavioral activation system (BAS)] and a wearable and wireless near-infrared illumination based eye-tracking system applied to an Italian sample (n = 19). Participants were asked to activate and interact with five different tech-interaction areas with different levels of complexity (entrance, kitchen, living room, bathroom, and bedroom) in a smart home system (SHS), while their eye-gaze behavior was recorded. Data showed significant differences between a simpler interaction (entrance) and a more complex one (living room), in terms of number of fixation. Moreover, slower time to first fixation in a multifaceted interaction (bathroom), compared to simpler ones (kitchen and living room) was found. Additionally, in two interaction conditions (living room and bathroom), negative correlations were found between external LoC and fixation count, and between BAS reward responsiveness scores and fixation duration. Findings led to the identification of a two-way process, where both the complexity of the tech-interaction and subjects’ personality traits are important impacting factors on the user’s visual exploration behavior. This research contributes to understand the user responsiveness adding first insights that may help to create more human-centered technology.

人机交互（HCI）尤其有趣，因为根据交互的复杂性，用户的个性特征及其动机系统的倾向，用户可能会采用不同的全浸入式技术。因此，本研究调查了心理因素与智能家居系统（SHS）中对特定技术交互的注意之间的关系。通过自我报告措施[控制位置（LoC），用户体验（UX），行为抑制系统（BIS）和行为激活系统（BAS）]以及可穿戴和基于无线近红外照明的眼动追踪系统应用于意大利样品（n = 19）。参与者被要求在智能家居系统（SHS）中激活五个不同技术互动区域并与之交互，这些区域具有不同的复杂程度（入口，厨房，客厅，浴室和卧室），同时记录他们的视线行为。数据显示，在固定次数上，较简单的交互（进入）和较复杂的交互（客厅）之间存在显着差异。此外，与简单的厨房和起居室相比，在多方面的交互（浴室）中进行首次注视的时间较慢。此外，在两个交互条件（起居室和浴室）中，在外部LoC与注视次数之间以及BAS奖励响应分数与注视持续时间之间存在负相关关系。研究结果确定了双向过程，技术交互的复杂性和主体的个性特征都是影响用户视觉探索行为的重要因素。这项研究有助于了解用户的响应能力，从而增加了可能有助于创建更多以人为中心的技术的见解。