Smitha Sheshadri

PhD Student in Computer Science

Singapore Management University

About Me

I’m Smitha, a PhD student specializing in Human-Computer Interaction.

I am fascinated by language—how we learn it, how we use it in interaction, and how it can be applied in areas where it has been underexplored. My research focuses on Conversational Interfaces for improving Indoor Human Localization and Tracking.

In my master's research, I investigated how sensorimotor engagement via haptic touchscreen interfaces can significantly improve second-language learning.

I am passionate about using conversational interaction to design accessible, effective, and simple solutions. When I step away from research, I find joy in long walks and yet another viewing of 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

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

Recognition & Presentations

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.

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).