Exploring the User's Perception of Updates in Intelligent Systems

Youyu Sheng, Xing Chen, Yuhan Liu, Jingyu Zhang
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Abstract

With the rapid advancements in artificial intelligence and connected systems, understanding users' perceptions becomes crucial. This study delved into the "Perception of Updates" in intelligent systems, combining expert and user interviews to elucidate the various facets of perceived system upgrades.For a deeper dive, semi-structured interviews were carried out with experts and users alike. The expert group consisted of professionals from diverse fields, including user experience, product design, intelligent vehicle design, voice system specialists, and academics, all of whom have substantial experience in the domain. Key insights from these sessions ranged from the evaluation of intelligent product upgrades to discerning design recommendations under perceived enhancements.On the other hand, user interviews engaged 20 users with experience in using intelligent products. The focal point here was their experiences and recall of moments when they distinctly perceived an update or progression in the intelligence of the systems they used.Emerging from these interviews were structural analyses of the perception of updates. Three primary dimensions were discerned: enhancement of perceived functions, addition of new functions, and perceived evolutionary capabilities of the system. Notably, there were also implications on the effects of this perception. Positive outcomes included increased trust in the product, heightened purchase intentions, brand loyalty, a sense of security, and a propensity to recommend the product to peers. Interestingly, among user interviewees, the perception most significantly influenced product recommendations and brand loyalty. Meanwhile, experts highlighted the implications on brand loyalty and trust, reinforcing the intrinsic link between perceived updates and continued user engagement. However, there were also potential drawbacks to consider, such as concerns over privacy and perceived threats, though these were less frequently mentioned.This study highlights the importance of understanding user perceptions of system updates, offering valuable insights for improving user experience in modern technology.
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探索智能系统中用户对更新的感知
随着人工智能和互联系统的快速发展,理解用户的感知变得至关重要。本研究深入探讨了智能系统的“更新感知”,结合专家和用户访谈来阐明感知系统升级的各个方面。为了进行更深入的研究,我们对专家和用户进行了半结构化的采访。专家组由来自不同领域的专业人士组成,包括用户体验、产品设计、智能汽车设计、语音系统专家和学者,他们都在该领域拥有丰富的经验。这些会议的主要见解包括从智能产品升级的评估到感知增强下的识别设计建议。另一方面,对20名有智能产品使用经验的用户进行了用户访谈。这里的焦点是他们的经历和回忆,当他们清楚地感知到他们使用的系统的智能的更新或进展时。从这些访谈中得出的是对更新感知的结构分析。三个主要维度被识别:感知功能的增强,新功能的添加,以及系统的感知进化能力。值得注意的是,这也暗示了这种感知的影响。积极的结果包括增加对产品的信任,提高购买意愿,品牌忠诚度,安全感以及向同龄人推荐产品的倾向。有趣的是,在用户受访者中,感知对产品推荐和品牌忠诚度的影响最为显著。与此同时,专家们强调了对品牌忠诚度和信任的影响,强调了感知更新与持续用户粘性之间的内在联系。然而,也有潜在的缺点需要考虑,比如对隐私和感知威胁的担忧,尽管这些不太常被提及。这项研究强调了了解用户对系统更新的看法的重要性,为改善现代技术中的用户体验提供了有价值的见解。
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