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Design and evaluation of an end-user test environment for macro gesture recognition on smartwatches
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School of Science |
Master's thesis
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en
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70
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This thesis presents the design, implementation, and evaluation of an end-user test environment tailored specifically for macro gesture recognition using smartwatch-based inertial measurement units (IMUs). With wearable devices becoming increasingly prevalent, effective gesture-based interaction methods are critical for enhancing user experience. However, existing gesture recognition systems, often face challenges in real-world usability, adaptability, and responsiveness. This research addresses these challenges by creating a practical test environment capable of capturing nuanced user interactions in dynamic and realistic scenarios. Employing a Design Science Research methodology complemented by mixed-methods from Human-Computer Interaction, the study systematically investigates usability factors impacting macro gestures, including discoverability, intuitiveness, learnability, memorability, ergonomics, transferability, efficiency, accuracy, and social acceptability. The research involves iterative evaluations with end-users, capturing qualitative insights through user interviews and quantitative measures through performance testing and usability metrics. Key findings indicate that contextual usability tests significantly improve the relevance of gesture interactions. The study contributes to the field by providing a structured approach for evaluating macro gesture usability by simulating user contexts, facilitating iterative development cycles that align computational performance with real-world user experiences. This work offers actionable insights for improving gesture interaction design, ultimately bridging the gap between technical capability and end-user practicality in gesture recognition systems.
Tämä opinnäytetyö esittelee älykellojen inertiamittayksiköillä (IMU) tapahtuvan makroeleiden tunnistuksen testiympäristön suunnittelun, toteutuksen ja arvioinnin. Tavoitteena on parantaa elepohjaisten järjestelmien käytettävyyttä tosielämän tilanteissa.
Hyödyntäen kehittämistutkimusta (Design Science Research, DSR) ja HCI-menetelmiä, työ keskittyi käytettävyyden arviointiin realistisissa skenaarioissa käyttäjätestien avulla. Keskeinen tulos on, että kontekstuaalinen testaus parantaa eletunnistuksen relevanssia.
Tutkimus tarjoaa strukturoidun mallin makroeleiden käytettävyyden testaamiseen käyttäjäkonteksteissa, auttaen yhdistämään teknisen suorituskyvyn ja käytännön käyttäjäkokemuksen.