Paul Streli

schoolETH Zurichbar_chart#1068 Global Rank

Total Papers

HCI Rank

#1068

Research Areas

Years Active

Recent Publications

Continual Human-in-the-Loop Optimization

Optimal input settings vary across users due to differences in motor abilities and personal preferences, which are typically addressed by manual tuning or calibration. Although human-in-the-loop optimization has the potential to identify optimal settings during use, it is rarely applied due to its long optimization pr…

UIST '245th+ AuthorAR Navigation & Context Awareness +1

SituationAdapt: Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM Reasoning

Mixed Reality is increasingly used in mobile settings beyond controlled home and office spaces. This mobility introduces the need for user interface layouts that adapt to varying contexts. However, existing adaptive systems are designed only for static environments. In this paper, we introduce SituationAdapt, a system…

UIST '241st AuthorMixed Reality Workspaces +2

TouchInsight: Uncertainty-aware Rapid Touch and Text Input for Mixed Reality from Egocentric Vision

While passive surfaces offer numerous benefits for interaction in mixed reality, reliably detecting touch input solely from head-mounted cameras has been a long-standing challenge. Camera specifics, hand self-occlusion, and rapid movements of both head and fingers introduce considerable uncertainty about the exact loc…

UIST '231st AuthorMid-Air Haptics (Ultrasonic) +1

Structured Light Speckle: Joint egocentric depth estimation and low-latency contact detection via remote vibrometry

Despite advancements in egocentric hand tracking using head-mounted cameras, contact detection with real-world objects remains challenging, particularly for the quick motions often performed during interaction in Mixed Reality. In this paper, we introduce a novel method for detecting touch on discovered physical surfa…

MOBILEHCI '232nd AuthorSocial & Collaborative VR +3

ViGather: Inclusive Virtual Conferencing with a Joint Experience Across Traditional Screen Devices and Mixed Reality Headsets

Teleconferencing is poised to become one of the most frequent use cases of immersive platforms, since it supports high levels of presence and embodiment in collaborative settings. On desktop and mobile platforms, teleconferencing solutions are already among the most popular apps and accumulate significant usage time--…

CHI '231st AuthorIn-Vehicle Haptic, Audio & Multimodal Feedback +1

HOOV: Hand Out-Of-View Tracking for Proprioceptive Interaction Using Inertial Sensing

Current Virtual Reality systems are designed for interaction under visual control. Using built-in cameras, headsets track the user's hands or hand-held controllers while they are inside the field of view. Current systems thus ignore the user's interaction with off-screen content---virtual objects that the user could q…

CHI '221st AuthorHand Gesture Recognition +2

TapType: Ten-finger text entry on everyday surfaces via Bayesian inference

Despite the advent of touchscreens, typing on physical keyboards remains most efficient for entering text, because users can leverage all fingers across a full-size keyboard for convenient typing. As users increasingly type on the go, text input on mobile and wearable devices has had to compromise on full-size typing.…

UIST '212nd AuthorHand Gesture Recognition +1

TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images

Today’s touchscreen devices commonly detect the coordinates of user input through capacitive sensing. Yet, these coordinates are the mere 2D manifestations of the more complex 3D configuration of the whole hand—a sensation that touchscreen devices so far remain oblivious to. In this work, we introduce the problem of r…

CHI '211st AuthorBest PaperHand Gesture Recognition

CapContact: Super-resolution Contact Areas from Capacitive Touchscreens

Touch input is dominantly detected using mutual-capacitance sensing, which measures the proximity of close-by objects that change the electric field between the sensor lines. The exponential drop-off in intensities with growing distance enables software to detect touch events, but does not reveal true contact areas. I…

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