IoT製品におけるダークパターン混入リスク抽出手法の研究

抄録

Dark patterns are designs that intentionally lead website users toward choices that are detrimental to their best interests. In recent years, the use of dark patterns on websites has grown, becoming a global issue. While typical dark patterns on websites are well-known, those associated with IoT devices remain less understood. In this study, we conducted two workshops to explore dark patterns in IoT products and identify associated risks. In the first workshop, we created a matrix to categorize existing dark patterns in IoT devices and conceptualize new approaches. In the second workshop, we developed a customer journey map to scrutinize dark patterns from the customer's point of view. Subsequently, we evaluated the effectiveness and limitations of our research methodology for identifying these risks. Our findings suggest that using a customer journey map provides several advantages over traditional methods based on existing classifications: it allows for contextual understanding of the product or service, enables a comprehensive examination of the entire process, and encourages consideration from the user's perspective.