Project Abstract

PROJECT ABSTRACTWith robots rapidly becoming commonplace across society, ensuring data security within human-robot interaction (HRI) becomes paramount. This abstract delves into this critical issue, drawing upon key research in both HRI and data security. By analyzing influential literature, we explore the complex challenges and exciting possibilities that arise when robots handle sensitive information.This review acts as a compass, pinpointing best practices for integrating data security into HRI systems. It provides a comprehensive snapshot of the current state of the field, ultimately guiding future research endeavors. This project serves as a stepping stone towards a future where human-robot interactions are not only widespread but also secure and reliable. This project aims at providing data security and privacy in an easy means of investigating the challenges and opportunities of integrating data security measures into HRI systems. As robots become more integrated into everyday life, they interact with users in most sensitive contexts, thereby motivating this project for the urgent need to safeguard and protect user data and privacy within HRI systems.This “Human-Robot Interaction and Data Security” project takes a multi-layered approach to tackle the issue. It begins with a thorough examination of existing research (literature review) to build a strong foundation, then identifying potential security threats that robots interacting with humans might encounter.Knowing the threats, the project then focuses on developing robust security measures to safeguard data. This development phase also prioritizes user-centric design and transparency, ensuring the security measures are not only effective but also user-friendly and understandable. It also incorporates continuous evaluation. This allows the project to adapt to the ever-evolving landscape of security threats and emerging technologies, ensuring the data security measures remain effective over time.

Keywords: Human-Robot Interaction, Data Security, Safeguard user data privacy

 Conference Details

Session: Presentation Stream 22 at Presentation Slot 4

Location: CoFo 002 at Wednesday 8th 09:00 – 12:30

Markers: Deepak Sahoo, John Tucker

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work