Background: Cross-country(XC) skiing is a demanding sport that requires both physical and technical expertise. Traditional training focuses on physical conditioning and equipment, often excluding the technical aspects of skiing. The arrival of advanced performance measurement technologies, such as Skisens' power meter, presents an opportunity to integrate detailed technical feedback directly into skiing equipment. Objectives: This thesis explores the software requirements (elicitation phase) and value proposition of integrating a power meter into XC-skiing equipment based on Skisens technology. The primary objectives are to identify essential software requirements from various stakeholders (skiers, coaches, and a domain-expert in developing smart ski products) and assess the technology’s potential impact on skiing performance and training efficiency. Methods: The research consists of a mixed-methods approach, combining an empirical study that includes surveys and interviews with the stakeholders, and a literature review that examines the benefits of performance measurement technologies in sports. Results: Findings indicate a significant interest among stakeholders in using power meters to enhance skiing performance. Key software requirements include real-time data visualization, seamless integration with existing devices, and customizable data presentation formats so it can simplify comparative and in-depth analysis. Conclusions: Integrating a power meter into XC-skiing equipment can provide valuable insights into technical performance, offering benefits for skiers at all levels. The technology must balance detailed data provision with user-friendly interfaces and robust hardware. Addressing these requirements can significantly advance training methods and performance analysis in XC-skiing.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-26543 |
Date | January 2024 |
Creators | Hultgren Guterstam, Ida, Shanan, Majd |
Publisher | Blekinge Tekniska Högskola, Institutionen för programvaruteknik |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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