# Wormhole Whispers: Reflecting User Privacy Data Boundaries Through Algorithm Visualization
## 3 Design Method
### Interaction Design & User Study  
To enhance the accessibility of the visualization results, we added interactive features to the previous data visualizations. Users can click, drag, and pan to simulate the process of navigating the platform's webpage, as shown in Figure 7. This gamified interactive scenario amplifies previously overlooked privacy boundary issues, making the mechanisms of algorithm and privacy data conversion more intuitive. To gather feedback from general users, we invited 10 participants (six females, four males, mean age = 23.1, \(SD\) = 1.58) to experience the interactive process and share their thoughts, as shown in Table 2. The average interaction time was 6 min. By observing and recording the participants' behaviors and feedback, we gained insights into how users perceive the flow and use of personal privacy data across multiple social platforms. All participants indicated that the project gave them a more intuitive understanding of privacy policies and algorithms. Several participants mentioned that the experience helped them better understand their previous experiences and concerns. Figure 6: Visual diagram of association rule learning algorithm: discovering patterns in a large number of planets (contents). Figure 7: The four components of interaction design transformation. Most participants indicated that this project gave them a more intuitive understanding of privacy policies and algorithms. In particular, regarding the demonstration of the \"black-box\" nature of technology, participants' feedback validated the accuracy of the design. For example, P1 expressed during the experience \"The flow of user information on the platform should involve many complex algorithms and technologies, all of which are invisible to the outside world. This metaphor of a 'black box' precisely matches my imagination of this phenomenon\". P7 also remarked \"Our private data is rapidly and efficiently transmitted to various unknown places, mysterious and complex. It indeed feels like walking through a wormhole\". Some participants also shared their feelings after experiencing this study. P6 mentioned \"After searching for skincare products for my mom on an online shopping platform, I received related product advertisements on Douyin or another shopping platform the next second. It really scared me. Now I roughly understand what's going on\". P8 raised concerns about current authorization mechanisms: \"Major apps often require excessive permissions, and in some cases, refusing to grant them renders the app unusable. In these situations, personal privacy is compromised, and it feels like being exposed on the internet every day\". The visualization design also enhances users' understanding of the data collection and usage mechanisms. For example, P10 noted \"Now I have a better understanding of the methods they use to collect my information, so I can avoid them when necessary, without unnecessary suspicion or concern\". In contrast, P9 emphasized the importance of prior informed consent for data authorization, stating \"I always find out afterward that I've agreed to share my information, which makes me worried that one day my private data could be exposed\". This feedback highlights the impact of the hidden nature of privacy issues on users. These comments reaffirm the negative impact on users due to the hidden nature of these issues. More than half of the participants indicated they would reconsider their