BKSBhupender Kumar Saini

Research focus CV

Aug 2022 – Jul 2023/Smart Car Research

Proactive HMI for Luxury Cars

Partner: Lotus Tech
Period: Aug 2022 – Jul 2023
Focus: Smart Car Research

Key outcomeFive validated HMI prototypes across personalization, point-of-interest search, media, and travel support

LinkedIn post: Proactive HMI project update

Ontology diagram modeling driver, passenger, organiser, calendar, vacation, and location concepts and their relationships, built to reason about proactive in-car HMI scenarios — Knowledge graph modeling people, trips, and context to drive proactive HMI use cases (built with Protégé and SPARQL).

Context

A proactive automotive assistant is only useful if it anticipates helpful actions without becoming intrusive, confusing, or hard to control.

Inputs

User interviews and workshops
In-vehicle interaction scenarios

Approach

Conducted qualitative user research to identify high-value HMI use cases
Modeled people, trips, and context in a knowledge graph (Protégé, SPARQL) to reason about proactive scenarios
Designed and iteratively refined AI-driven interaction concepts, validated through user testing

Outcomes

Five validated HMI prototypes across personalization, point-of-interest search, media, and travel support
Four patentable ideas in the smart automotive HMI domain
Proactivity is only useful when the system understands context, explains its behavior, and leaves the user in control