Can AI Route You to Happiness? A Technical Study on Affective Automotive Navigation InterfacesConventional navigation systems, fixated on metrics such as time and distance, neglect the driver's emotional well-being, despite driving routes being inherent emotional triggers. This raises a critical question for the Intelligent User Interface community: How can intelligent systems successfully route information ba…2026DBDavid Bethge et al.MetaAutomated Driving Interface & Takeover DesignIn-Vehicle Haptic, Audio & Multimodal FeedbackEmotion Recognition & DetectionIUI
From Pegs to Pixels: A Comparative Analysis of the Nine Hole Peg Test and a Digital Copy Drawing Test for Fine Motor Control AssessmentUser interaction with digital systems requires Fine Motor Control (FMC), especially if the interfaces are complex or require high fidelity and fine-grained interactions. Despite its importance, Fine Motor Control is often overlooked in interactive system design, partly because of its complex assessment. Measuring chan…2025DSDominik Schön et al.Technical University of DarmstadtMotor Impairment Assistive Input TechnologiesPrototyping & User TestingMobileHCI
Understanding the Influence of Electrical Muscle Stimulation on Motor Learning: Enhancing Motor Learning or Disrupting Natural Progression?Electrical Muscle Stimulation (EMS) induces muscle movement through external currents, offering a novel approach to motor learning. Researchers investigated using EMS as an alternative to conventional non-movement-inducing feedback techniques, such as vibrotactile and electrotactile feedback. While EMS shows promise i…2025SVSteeven Villa et al.Ludwig Maximilian University of MunichVibrotactile Feedback & Skin StimulationElectrical Muscle Stimulation (EMS)CHI
Ad-Blocked Reality: Evaluating User Perceptions of Content Blocking Concepts Using Extended RealityInspired by the concepts of diminishing reality and ad-blocking in browsers, this study investigates the perceived benefits and concerns of blocking physical, real-world content, particularly ads, through Extended Reality (XR). To understand how users perceive this concept, we first conducted a user study (N=18) with…2025CKChristopher Katins et al.Humboldt University of BerlinPrivacy by Design & User ControlSocial Platform Design & User BehaviorCHI
"Create a Fear of Missing Out" – ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without WarningWith the recent advancements in Large Language Models (LLMs), web developers increasingly apply their code-generation capabilities to website design. However, since these models are trained on existing designerly knowledge, they may inadvertently replicate bad or even illegal practices, especially deceptive designs (D…2025VKVeronika Krauß et al.Technical University of DarmstadtExplainable AI (XAI)Privacy by Design & User ControlDark Patterns RecognitionCHI
The Illusion of Privacy: Investigating User Misperceptions in Browser Tracking ProtectionThird parties track users' web browsing activities, raising privacy concerns. Tracking protection extensions prevent this, but their influence on privacy protection beliefs shaped by narratives remains uncertain. This paper investigates users' misperception of tracking protection offered by browser plugins. Our study…2025MWMaximiliane Windl et al.Ludwig Maximilian University of MunichPrivacy by Design & User ControlPrivacy Perception & Decision-MakingCHI
Using Pupil Dilation to Adaptively Select Speed-Reading Parameters in Virtual RealityRapid Serial Visual Presentation (RSVP) improves the reading speed for optimizing the user's information processing capabilities on Virtual Reality (VR) devices. Yet, the user's RSVP reading performance changes over time while the reading speed remains static. In this paper, we evaluate pupil dilation as a physiologic…2024JGJesse W Grootjen et al.Ludwig Maximilian University of MunichEye Tracking & Gaze InteractionImmersion & Presence ResearchMobileHCI
"AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AIHeightened AI expectations facilitate performance in human-AI interactions through placebo effects. While lowering expectations to control for placebo effects is advisable, overly negative expectations could induce nocebo effects. In a letter discrimination task, we informed participants that an AI would either increa…2024AKAgnes Mercedes Kloft et al.Aalto UniversityExplainable AI (XAI)AI-Assisted Decision-Making & AutomationAI Ethics, Fairness & AccountabilityCHI
Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual RealityElectromyography (EMG) enables hands-free interactions by detecting muscle activity at different human body locations. Previous studies have demonstrated that input performance based on isometric contractions is muscle-dependent and can benefit from synchronous biofeedback. However, it remains unknown whether stimulat…2024JSJessica Sehrt et al.Frankfurt University of Applied SciencesElectrical Muscle Stimulation (EMS)Full-Body Interaction & Embodied InputVR Medical Training & RehabilitationCHI
Assessing User Apprehensions About Mixed Reality Artifacts and Applications: The Mixed Reality Concerns (MRC) QuestionnaireCurrent research in Mixed Reality (MR) presents a wide range of novel use cases for blending virtual elements with the real world. This yet-to-be-ubiquitous technology challenges how users currently work and interact with digital content. While offering many potential advantages, MR technologies introduce new security…2024CKChristopher Katins et al.Humboldt University of BerlinMixed Reality WorkspacesPrivacy by Design & User ControlSmart Home Privacy & SecurityCHI
Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain ContextDriver emotions play a vital role in driving safety and performance. Consequently, regulating driver emotions through empathic interfaces have been investigated thoroughly. However, the prerequisite - driver emotion sensing - is a challenging endeavor: Body-worn physiological sensors are intrusive, while facial and sp…2023DBDavid Bethge et al.MetaAutomated Driving Interface & Takeover DesignPrivacy by Design & User ControlContext-Aware ComputingUbiComp
SensCon: Embedding Physiological Sensing into Virtual Reality ControllersVirtual reality experiences increasingly use physiological data for virtual environment adaptations to evaluate user experience and immersion. Previous research required complex medical-grade equipment to collect physiological data, limiting real-world applicability. To overcome this, we present SensCon for skin condu…2023FCFrancesco Chiossi et al.Ludwig Maximilian University of MunichImmersion & Presence ResearchBiosensors & Physiological MonitoringContext-Aware ComputingMobileHCI
Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented RealityMid-air gestures, widely used in today's Augmented Reality (AR) applications, are prone to the “gorilla arm” effect, leading to discomfort with prolonged interactions. While prior work has proposed metrics to quantify this effect and means to improve comfort and ergonomics, these works usually only consider simplistic…2023DSDominik Schön et al.Technical University of DarmstadtFull-Body Interaction & Embodied InputAR Navigation & Context AwarenessCHI
TicTacToes: Assessing Toe Movements as an Input ModalityFrom carrying grocery bags to holding onto handles on the bus, there are a variety of situations where one or both hands are busy, hindering the vision of ubiquitous interaction with technology. Voice commands, as a popular hands-free alternative, struggle with ambient noise and privacy issues. As an alternative appro…2023FMFlorian Müller et al.Technical University of DarmstadtFoot & Wrist InteractionCHI
Literature Reviews in HCI: A Review of ReviewsThis paper analyses Human-Computer Interaction (HCI) literature reviews to provide a clear conceptual basis for authors, reviewers, and readers. HCI is multidisciplinary and various types of literature reviews exist, from systematic to critical reviews in the style of essays. Yet, there is insufficient consensus of wh…2023ESEvropi Stefanidi et al.TU WienUser Research Methods (Interviews, Surveys, Observation)Research Ethics & Open ScienceCHI
VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-TimeDetecting emotions while driving remains a challenge in Human-Computer Interaction. Current methods to estimate the driver's experienced emotions use physiological sensing (e.g., skin-conductance, electroencephalography), speech, or facial expressions. However, drivers need to use wearable devices, perform explicit vo…2021DBDavid Bethge et al.MetaHead-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)Motion Sickness & Passenger ExperienceUIST
Let’s Frets! Assisting Guitar Students during Practice via Capacitive SensingLearning a musical instrument requires regular exercise. However, students are often on their own during their practice sessions due to the limited time with their teachers, which increases the likelihood of mislearning playing techniques. To address this issue, we present Let's Frets - a modular guitar learning syste…2021KMKarola Marky et al.Ruhr University BochumElectrical Muscle Stimulation (EMS)Haptic WearablesProgramming Education & Computational ThinkingCHI
Hit the Thumb Jack! Using Electromyography to Augment the Piano KeyboardImprovising on the piano keyboard requires extensive skill development, which may reduce the feeling of immersion and flow for amateur players. However, being able to add simple musical effects greatly boosts a player's ability to express their unique playing style. To simplify this process, we designed an electromyog…2020JKJakob Karolus et al.Ludwig Maximilian University of MunichElectrical Muscle Stimulation (EMS)DIS
One does not Simply RSVP: Mental Workload to Select Speed Reading Parameters using ElectroencephalographyRapid Serial Visual Presentation (RSVP) has gained popularity as a method for presenting text on wearable devices with limited screen space. Nonetheless, it remains unclear how to calibrate RSVP display parameters, such as spatial alignments or presentation rates, to suit the reader's information processing ability at…2020TKThomas Kosch et al.Ludwig Maximilian University of MunichBrain-Computer Interface (BCI) & NeurofeedbackContext-Aware ComputingUser Research Methods (Interviews, Surveys, Observation)CHI
BrainCoDe: Electroencephalography-based Comprehension Detection during Reading and ListeningThe pervasive availability of media in foreign languages is a rich resource for language learning. However, learners are forced to interrupt media consumption whenever comprehension problems occur. We present BrainCoDe, a method to implicitly detect vocabulary gaps through the evaluation of event-related potentials (E…2020CSChristina Schneegass et al.Ludwig Maximilian University of MunichBrain-Computer Interface (BCI) & NeurofeedbackCognitive Impairment & Neurodiversity (Autism, ADHD, Dyslexia)Context-Aware ComputingCHI