『HCI Deep Dives』のカバーアート

HCI Deep Dives

HCI Deep Dives

著者: Kai Kunze
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HCI Deep Dives is your go-to podcast for exploring the latest trends, research, and innovations in Human Computer Interaction (HCI). AI-generated using the latest publications in the field, each episode dives into in-depth discussions on topics like wearable computing, augmented perception, cognitive augmentation, and digitalized emotions. Whether you’re a researcher, practitioner, or just curious about the intersection of technology and human senses, this podcast offers thought-provoking insights and ideas to keep you at the forefront of HCI.Copyright 2024 All rights reserved. 科学
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  • UIST 2025 Kinethreads: Soft Full-Body Haptic Exosuit using Low-Cost Motor-Pulley Mechanisms
    2025/10/01

    Our bodies experience a wide variety of kinesthetic forces as we go about our daily lives, including the weight of held objects, contact with surfaces, gravitational loads, and acceleration and centripetal forces while driving, to name just a few. These forces are crucial to realism, yet simply cannot be rendered with today’s consumer haptic suits, which primarily rely on arrays of vibration actuators built into vests. Rigid exoskeletons have more kinesthetic capability to apply forces directly to users’ joints, but are generally cumbersome to wear and cost many thousands of dollars. In this work, we present Kinethreads: a new full-body haptic exosuit design built around string-based motor-pulley mechanisms, which keeps our suit lightweight (<5kg), soft and flexible, quick-to-wear (<30 seconds), comparatively low-cost (~$400), and yet capable of rendering expressive, distributed, and forceful (up to 120N) effects. We detail our system design, implementation, and results from a multi-part performance evaluation and user study. Vivian Shen and Chris Harrison. 2025. Kinethreads: Soft Full-Body Haptic Exosuit using Low-Cost Motor-Pulley Mechanisms. In Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25). Association for Computing Machinery, New York, NY, USA, Article 1, 1–16. https://doi.org/10.1145/3746059.3747755

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    15 分
  • CHI 2025 A Placebo Concert: The Placebo Effect for Visualization of Physiological Audience Data during Experience Recreation in Virtual Reality
    2025/08/20

    Xiaru Meng, Yulan Ju, Christopher Changmok Kim, Yan He, Giulia Barbareschi, Kouta Minamizawa, Kai Kunze, and Matthias Hoppe. 2025. A Placebo Concert: The Placebo Effect for Visualization of Physiological Audience Data during Experience Recreation in Virtual Reality. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 807, 1–16. https://doi.org/10.1145/3706598.3713594

    A core use case for Virtual Reality applications is recreating real-life scenarios for training or entertainment. Promoting physiological responses for users in VR that match those of real-life spectators can maximize engagement and contribute to more co-presence. Current research focuses on visualizations and measurements of physiological data to ensure experience accuracy. However, placebo effects are known to influence performance and self-perception in HCI studies, creating a need to investigate the effect of visualizing different types of data (real, unmatched, and fake) on user perception during event recreation in VR. We investigate these conditions through a balanced between-groups study (n=44) of uninformed and informed participants. The informed group was provided with the information that the data visualizations represented previously recorded human physiological data. Our findings reveal a placebo effect, where the informed group demonstrated enhanced engagement and co-presence. Additionally, the fake data condition in the informed group evoked a positive emotional response.

    https://doi.org/10.1145/3706598.3713594

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    12 分
  • CHI2025 Heartbeat Resonance: Inducing Non-contact Heartbeat Sensations in the Chest
    2025/08/08

    Perceiving and altering the sensation of internal physiological states, such as heartbeats, is key for biofeedback and interoception. Yet, wearable devices used for this purpose can feel intrusive and typically fail to deliver stimuli aligned with the heart’s location in the chest. To address this, we introduce Heartbeat Resonance, which uses low-frequency sound waves to create non-contact haptic sensations in the chest cavity, mimicking heartbeats. We conduct two experiments to evaluate the system’s effectiveness. The first experiment shows that the system created realistic heartbeat sensations in the chest, with 78.05 Hz being the most effective frequency. In the second experiment, we evaluate the effects of entrainment by simulating faster and slower heart rates. Participants perceived the intended changes and reported high confidence in their perceptions for +15% and -30% heart rates. This system offers a non-intrusive solution for biofeedback while creating new possibilities for immersive VR environments.

    Waseem Hassan, Liyue Da, Sonia Elizondo, and Kasper Hornbæk. 2025. Heartbeat Resonance: Inducing Non-contact Heartbeat Sensations in the Chest. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 913, 1–22. https://doi.org/10.1145/3706598.3713959

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    13 分
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