54 research outputs found
Just Before Touch: Manipulating Perceived Haptic Sensations through Proactive Vibrotactile Cues in Virtual Reality
No full textJuggling Extra Limbs: Identifying Control Strategies for Supernumerary Multi-Arms in Virtual Reality
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ArmSleeve: A patient monitoring system to support occupational therapists in stroke rehabilitation
No full textThis paper describes the design of "ArmSleeve", a patient monitoring system to support occupational therapists in their upper limb rehabilitation work with stroke patients. Occupational therapists can provide rehabilitation in clinics, but they have limited insights into how much their patients use their affected arm and hand in daily life, which is critical for effective recovery to occur. Our work addresses this problem through three interrelated studies: (1) interviews with therapists to examine their current rehabilitation practices; (2) the design of the "ArmSleeve Sensor" to monitor a patient's upper limb movement; and (3) the design and evaluation of the "ArmSleeve Dashboard" to visualize this information for therapists. The findings show the importance of collecting objective data to assess exercise and activities outside therapy, but also a lack of contextual information to interpret this data. We discuss considerations for how to address this issue through patient engagement as well as considerations for designing wearable sensor technology that is usable in everyday life
Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory using Consumer Wearables
No full textWearable devices offer detailed sleep-tracking data. However, whether this information enhances our understanding of sleep or simply quantifies already-known patterns remains unclear. This work explores the relationship between subjective sleep self-assessments and sensor data from an Oura ring over 4-8 weeks in-the-wild. 29 participants rated their sleep quality daily compared to the previous night and completed a working memory task. Our findings reveal that differences in REM sleep, nocturnal heart rate, N-Back scores, and bedtimes highly predict sleep self-assessment in significance and effect size. For N-Back performance, REM sleep duration, prior night's REM sleep, and sleep self-assessment are the strongest predictors. We demonstrate that self-report sensitivity towards sleep markers differs among participants. We identify three groups, highlighting that sleep trackers provide more information gain for some users than others. Additionally, we make all experiment data publicly available
Exploring Shared Bodily Control:Designing Augmented Human Systems for Intra- and Inter-Corporeality
No full textThe human-computer interaction community has evolved from using body-sensing to body-actuating technologies, transforming the body's role from a mere input to an input-output medium. With body-sensing, the separation between the human and the computer is clear, allowing for an easy understanding of who is in control. However, with body-actuating technologies, this separation diminishes. These technologies integrate more closely with our bodies, where both the user and the technology can share control over their bodily interactions. In this workshop, we will explore this notion of sharing control, specifically focusing on experiences where users interact with their own bodies (intra-corporeal experiences), and interact with others using technology (inter-corporeal experiences). Our discussions and group activities will focus on brainstorming and designing within human augmentation, examining how this shared control can lead to innovative applications.</p
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