Smitha Sheshadri

PhD Student in Computer Science

Singapore Management University

About Me

I’m Smitha, a PhD candidate specializing in Human-Computer Interaction. I’m particularly interested in how language can be used not just for communication, but as a tool for interaction in domains where it’s often underutilized.

My current research focuses on application of conversational interaction for indoor spatial intelligence. I design systems that combine natural language input, sensor data, and behavioral modeling to support low-cost, infrastructure-free positioning to support people in large indoor spaces like malls and museums.

During my master’s, I investigated how sensorimotor engagement through haptic touchscreen interfaces could enhance second-language vocabulary learning. Across projects, I use Python, experimental methods, and rapid prototyping to build and evaluate deployable, human-centered systems.

Outside of research, I enjoy long walks and never get tired of rewatching Jurassic Park 🦖.

Interests

Natural Language & Conversational Interfaces
User-as-sensor Solutions
Indoor Spatial Intelligence
Language Learning

Education

PhD in Computer Science, 2022 - Present
Singapore Management University (SMU)
MSc in Computer Science, 2018 - 2020
National University of Singapore (NUS)
B.Eng in Computer Science and Engineering, 2014 - 2018
Visvesvaraya Technological University, India

Projects & Publications

Sensing isn't enough! Supporting Inertial Indoor Tracking with Conversational Input

We developed a low-cost indoor tracking system that improves inertial sensor accuracy by incorporating user-provided conversational cues. Our approach combines smartphone IMU data with natural language descriptions of known indoor locations, enabling accurate tracking without requiring pre-installed infrastructure or situated data collection.

Enhancing Smartphone-based Inertial Indoor Tracking with Conversational User Input
S. Sheshadri, K. Hara
Under Review, IMWUT

Indoor Human Localization through Intelligent Conversation

We developed Conversational Localization, a sensorless indoor localization approach using natural language interactions. Our system estimates user location based on described surroundings, employing strategies to extract the most useful details.

Conversational Localization: Indoor Human Localization through Intelligent Conversation
S. Sheshadri, K. Hara
IMWUT 2024
Feasibility Studies in Indoor Localization through Intelligent Conversation
S. Sheshadri, L. Cheng, K. Hara
CHI EA 2022

Learn with Haptics: Improving Vocabulary Recall

Sensorimotor activation enhances learning, and we applied this principle to digital vocabulary learning by incorporating free-form digital annotation in mobile flashcard interfaces. By varying annotation type, presentation sequence, and haptic feedback, we identified a design that significantly improved retention, yielding a 24.21% increase in immediate recall and 30.36% improvement in 7-day delayed recall.

Learn with Haptics: Improving Vocabulary Recall with Free-form Digital Annotation on Touchscreen Mobiles
S. Sheshadri, S. Zhao, Y. Chen, M. Fjeld
CHI 2020

Highlights & Happenings

Prototyping in the Wild

We recently tested our indoor tracking system in a museum and a mall. It was a fun chance to see our research in action. Huge thanks to the wonderful participants! (July 2025)

Presidential Doctoral Fellowship Award 2024-25

I received the award for my research contributions in natural language interfaces for indoor spatial intelligence, emphasizing sensorless localization.

Singapore HCI Meetup 2025

Met some lovely folks at the SG HCI Meetup 2025, where I demoed my work on conversationally improving indoor smartphone tracking.

IMWUT 2024 Presentation

I had a great time presenting our work in IMWUT 2024, held in Melbourne.

Demo at MOE Academic Research Council (ARC) Site Visit

At the Ministry of Education (MOE) Academic Research Council (ARC) Site Visit, I engaged with academic leaders and policymakers, discussing research and exchanging insights on human-centered technology.

Sharing with Global Young Scientists Summit 2024

I had the opportunity to share my work with young researchers from around the world at GYSS 2024, engaging in discussions and exchanging ideas with peers and experts.

Singapore HCI Meetup 2024

The Singapore HCI Meetup is a national gathering of researchers, designers, and practitioners. At the 2024 event, I presented my ongoing work and engaged with experts in human-centered technology.

Beyond Research

Teaching Assistant: Assisted in Computational Interaction (CS702) at Singapore Management University (SMU) for AY2024-25 Term 2 and AY2023-24 Term 2.
Volunteer Teaching: Worked with Make A Difference (MAD), a non-profit supporting shelter home children in India. Taught 5th-grade Science (2016-17) and later led 90+ volunteers (2017-18).