Kashyap Todi

schoolAalto Universitybar_chart#344 Global Rank

Total Papers

HCI Rank

#344

Research Areas

Years Active

Recent Publications

Gazeify Then Voiceify: Physical Object Referencing Through Gaze and Voice Interaction with Displayless Smart Glasses

Smart glasses enhance interactions with the environment by using head-mounted cameras to observe the user’s viewpoint , but lack the visual feedback used for common interactions. We introduce "Gazeify then Voiceify", a multimodal approach allowing object selection via gaze and voice using displayless smart glasses. Us…

UIST '255th+ AuthorHand Gesture Recognition +2

Squiggle: Multimodal Lasso Selection in the Real World

Smart glasses devices are emerging with egocentric cameras and gaze tracking, raising the possibility of new interaction techniques that enable users to reference real-world objects they wish to digitally interact with. However, many of these devices lack a display, making precise object referencing difficult due to t…

IUI '254th AuthorHuman-LLM Collaboration +1

Authoring LLM-Based Assistance for Real-World Contexts and Tasks

Advances in AI hold the possibility of assisting users with highly varied and individual needs, but the breadth of assistance that these systems could provide creates a challenge for how users specify their goals to the system. To support the authoring of AI assistance for real-world tasks, we propose the concept of C…

IUI '254th AuthorContext-Aware Computing +1

A Dynamic Bayesian Network Based Framework for Multimodal Context-Aware Interactions

Multimodal context-aware interactions integrate multiple sensory inputs, such as gaze, gestures, speech, and environmental signals, to provide adaptive support across diverse user contexts. Building such systems is challenging due to the complexity of sensor fusion, real-time decision-making, and managing uncertaintie…

CHI '25CorrespondingIn-Vehicle Haptic, Audio & Multimodal Feedback +3

Persistent Assistant: Seamless Everyday AI Interactions via Intent Grounding and Multimodal Feedback

Current AI assistants predominantly use natural language interactions, which can be time-consuming and cognitively demanding, especially for frequent, repetitive tasks in daily life. We propose Persistent Assistant, a framework for seamless and unobtrusive interactions with AI assistants. The framework has three key f…

UIST '24CorrespondingMid-Air Haptics (Ultrasonic) +2

SonoHaptics: An Audio-Haptic Cursor for Gaze-Based Object Selection in XR

We introduce SonoHaptics, an audio-haptic cursor for gaze-based 3D object selection. SonoHaptics addresses challenges around providing accurate visual feedback during gaze-based selection in Extended Reality (XR), e.g., lack of world-locked displays in no- or limited-display smart glasses and visual inconsistencies. T…

CHI '243rd AuthorMixed Reality Workspaces +2

MineXR: Mining Personalized Extended Reality Interfaces

Extended Reality (XR) interfaces offer engaging user experiences, but their effective design requires a nuanced understanding of user behavior and preferences. This knowledge is challenging to obtain without the widespread adoption of XR devices. We introduce MineXR, a design mining workflow and data analysis platform…

CHI '24CorrespondingContext-Aware Computing +1

Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended Reality

Advances in ubiquitous computing have enabled end-user authoring of context-aware policies (CAPs) that control smart devices based on specific contexts of the user and environment. However, authoring CAPs accurately and avoiding run-time errors is challenging for end-users as it is difficult to foresee CAP behaviors u…

IUI '242nd AuthorHuman-LLM Collaboration +1

FrameKit: A Tool for Authoring Adaptive UIs Using Keyframes

Adaptive user interfaces (AUIs) can improve user experience by adapting how information and functionality are presented in a user interface. However, the dynamic nature and potentially numerous variations of AUIs make them challenging to author. In this paper, we present a generalized framework for defining adaptati…

CHI '234th AuthorHonorable MentionAR Navigation & Context Awareness +1

XAIR: A Framework of Explainable AI in Augmented Reality

Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the role of XAI also becomes essential in AR because end-users will frequently interact with intelligent services. However, it is unclear how to d…

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