###### Abstract
These issues can lead to arbitrary design decisions, functional mismatches, and poor user experiences, ultimately weakening product competitiveness and application effectiveness while limiting improvements in the quality of life of the aging population. Therefore, when developing game products for older adults, it is crucial to effectively mine real user needs from online reviews and ensure the scientific alignment of design parameters with a robust evaluation of the proposed solutions. To address this gap, this study proposes a design method for elderly-oriented game products based on online user reviews, establishing a systematic pathway from need identification to design generation and optimization, with the goal of enhancing both scientific rigor and user relevance to design outcomes. This study proposed using online review data from e-commerce platforms as a key information source for user demand extraction and adopted a research approach that combines short-text topic modeling with structured design methodologies. Python-based web scraping techniques were employed to collect a large volume of user reviews across diverse brands and product types. Ensuring data diversity helps capture a wide range of user opinions and enhances the accuracy of product or service improvements [23]. The collected online reviews were subsequently analyzed and categorized. Topic modeling is widely used in text mining, with LDA and BTM being the two most commonly adopted models. Compared with traditional models such as LDA, BTM performs better on short texts such as user reviews, as it captures word co-occurrence patterns without relying on complete contextual information [24; 25]. By identifying and categorizing latent topics within the text, BTM enables efficient text classification and reveals users' primary concerns, thereby uncovering a broad range of potential user needs [26]. In this study, BTM was applied to the collected reviews to extract latent topics from which preliminary user needs were inferred. However, further screening is required to determine the relative importance of these needs. As a decision-making tool, the Analytic Hierarchy Process (AHP) was applied to quantify expert judgments into weight values [27], effectively identify key user needs, and enhance the scientific rigor and accuracy of the decision-making process. Thus, this study used AHP to extract the core requirements and key design elements of aging-friendly game products. After identifying key user needs, it is essential to translate them into specific design parameters for age-friendly game products. To accomplish this, this study integrated Axiomatic Design (AD) theory by applying an independence axiom to perform precise information mapping. This process translates user needs into design parameters using mapping matrices to systematically derive rational design parameters [28], thereby overcoming the limitations of traditional intuition-driven design processes. Finally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to comprehensively evaluate and optimize multiple design schemes [29]. This ensured that the final design met the core user needs and featured a well-balanced functional configuration, thereby validating the rationality of the proposed design methodology. Although existing methods have been applied to aging-related design research, they generally lack a systematically integrated pathway oriented toward practical design implementation. As a result, it remains challenging to achieve a closed-loop process that progresses from \"perceiving user needs\" to \"functional transformation\" and ultimately to \"solution optimization\". To address this gap, this study proposed a BTM-AHP-AD-TOPSIS design framework based on online review texts.