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A Contextual Design Approach for Creating a Holistic Fitness Application

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HCI International 2023 Posters (HCII 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1833))

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Abstract

With the rising popularity of fitness and the growing need to record workouts for analytical or social purposes, there is an increasing demand for fitness application(s) that would cater to the requirements of the emerging lifestyle. Looking at the available applications, there are only a few of them, namely, Garmin Connect, Strava, RunKeeper, Map My Ride, Zombie Run and Zwift. From the reviews received on their websites or applications, multiple issues were identified. A few of them are syncing issues, notification issues, GPS issues, fitness goal update issues, and many more. Motivated by these shortcomings in a market of high demand, a contextual design approach was used to design a new fitness application that would benefit the fitness enthusiast without these issues. Intermediary steps in achieving this goal were - experience model construction, grand vision development, identification of persons, product concepts and their cool drilldowns, storyboarding, Generalized Transition Network (GTN), wireframing, prototyping, creating Usability Aspect Report (UAR) based on persona, and improvements made according to the UARs. Along with these, a few suggestions for further improvement have been made.

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Acknowledgement

I would like to thank the users, colleagues, and mentors who contributed to this study. The institution’s resources and facilities allowed us to conduct the design process efficiently. The larger HCI research community’s work inspired this study, and I hope it will contribute to the growing knowledge in this field and inspire future innovation.

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Correspondence to Chandni Murmu .

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Murmu, C. (2023). A Contextual Design Approach for Creating a Holistic Fitness Application. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1833. Springer, Cham. https://doi.org/10.1007/978-3-031-35992-7_16

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  • DOI: https://doi.org/10.1007/978-3-031-35992-7_16

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