Aakar Gupta

schoolUniversity of Waterloobar_chart#261 Global Rank

Total Papers

HCI Rank

#261

Research Areas

Years Active

Recent Publications

FuzzySeek: Multimodal Refinement of Imprecise Video Queries for Moment Retrieval

Recent AI advances have made it possible to retrieve specific moments from long-form videos using natural language queries. However, existing systems can struggle to align retrieval results with user intent due to the lack of means for users to express their intents in simple natural language text. Moreover, there is…

CHI '26CorrespondingHuman-LLM Collaboration +2

DataSpeck: An AI-Driven Human-in-the-Loop System for Automating Transformations in Data Conversion Workflows

In data-driven systems, integrating disparate data sources becomes challenging when incoming data does not conform to the system's specifications. Despite advances in automated schema matching systems, data integration tasks involving complex semantic interrelationships still require users to manually identify and def…

CHI '26CorrespondingHuman-LLM Collaboration +2

New Enactions of Expertise: Software Engineers’ Evaluation and Demonstration of Coding Expertise with AI Coding Assistants

AI coding assistants are changing how software engineers engage in coding work. This shift raises a key question: does the changing of coding work also alter how software engineers evaluate and demonstrate coding expertise? We explore this question through a simulated live coding interview involving two software engin…

CHI '25CorrespondingGenerative AI (Text, Image, Music, Video) +1

AdaptiveSliders: User-aligned Semantic Slider-based Editing of Text-to-Image Model Output

Precise editing of text-to-image model outputs remains challenging. Slider-based editing is a recent approach wherein the image’s semantic attributes are manipulated via sliders. However, it has significant user-centric issues. First, slider variations are often inconsistent across the sliding range. Second, the optim…

CHI '24CorrespondingVibrotactile Feedback & Skin Stimulation +2

A Meta-Bayesian Approach for Rapid Online Parametric Optimization for Wrist-based Interactions

Wrist-based input often requires tuning parameter settings in correspondence to between-user and between-session differences, such as variations in hand anatomy, wearing position, posture, etc. Traditionally, users either work with predefined parameter values not optimized for individuals or undergo time-consuming cal…

UIST '233rd AuthorOn-Skin Display & On-Skin Input

STAR: Smartphone-analogous Typing in Augmented Reality

While text entry is an essential and frequent task in Augmented Reality (AR) applications, devising an efficient and easy-to-use text entry method for AR remains an open challenge. This research presents STAR, a smartphone-analogous AR text entry technique that leverages a user's familiarity with smartphone two-thumb…

CHI '23CorrespondingFoot & Wrist Interaction +2

Investigating Wrist Deflection Scrolling Techniques for Extended Reality

Scrolling in extended reality (XR) is currently performed using handheld controllers or vision-based arm-in-front gestures, which have the limitations of encumbering the user's hands or requiring a specific arm posture, respectively. To address these limitations, we investigate freehand, posture-independent scrolling…

CHI '231st AuthorVibrotactile Feedback & Skin Stimulation +2

Investigating Eyes-away Mid-air Typing in Virtual Reality using Squeeze haptics-based Postural Reinforcement

In this paper, we investigate postural reinforcement haptics for mid-air typing using squeeze actuation on the wrist. We propose and validate eye-tracking based objective metrics that capture the impact of haptics on the user's experience, which traditional performance metrics like speed and accuracy are not able to c…

UIST '223rd AuthorHand Gesture Recognition +1

RIDS: Implicit Detection of a Selection Gesture Using Hand Motion Dynamics During Freehand Pointing in Virtual Reality

Freehand interactions with augmented and virtual reality are grow- ing in popularity, but they lack reliability and robustness. Implicit behavior from users, such as hand or gaze movements, might pro- vide additional signals to improve the reliability of input. In this paper, the primary goal is to improve the detecti…

UIST '22CorrespondingSocial & Collaborative VR +1

Optimizing the Timing of Intelligent Suggestion in Virtual Reality

Intelligent suggestion techniques can enable low-friction selection-based input within virtual or augmented reality (VR/AR) systems. Such techniques leverage probability estimates from a target prediction model to provide users with an easy-to-use method to select the most probable target in an environment. For exampl…

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