SmokeSense.

Wearable Smoking Tracker.

Wearable Smoking Tracker.

Technicaly Complex Product | Design Research

Technicaly Complex Product | Design Research

Duration: 7 weeks

Duration: 7 weeks

Guided by Dr Amaltas Khan

Guided by Dr Amaltas Khan

Project Timeline.

Project Timeline.

Background.

Background.

Studies show smoking cessation apps can increase quit success rates by up to 50% when combined with motivational features like progress tracking, personalized reminders, and elements of gamification. By providing ongoing support and visualizing health or financial benefits, these apps make it easier to achieve small, gradual behavior changes. Such apps offer statistically proven efficacy, improving engagement and commitment to quitting over time.

Kwit App

Kwit App

Quit Tracker by despDev

Quit Tracker by despDev

QuitSure App

QuitSure App

Problem.

Problem.

While smoking cessation apps show potential to aid quitting, they typically require users to manually log each cigarette, a step that can decrease usability and active retention due to its tedious nature. This requirement for manual entry can lead to underreporting, inconsistency in data, and disengagement among users.

Design Brief.

Design Brief.

To provide users with an effortless and accurate way to track and manage smoking habits, improve engagement, and enhance long-term quit success rates.

Primary Research.

Primary Research.

Interview Insights

A variety of individuals who had successfully quit smoking or were trying to quit smoking were asked to share their experiences and challenges.

Framing Approach.

Framing Approach.

Existing Products and Benchmarking

Existing Products and Benchmarking

The product design process began with a detailed study of a diverse range of existing rehabilitation products.

Use Case Approaches & Potential Value Additions

Use Case Approaches & Potential Value Additions

The pros and cons of three types of useage scenarios were identified as key considerations for designing the product.

Product Approach

After assessing the feasibility and trade-offs of awareness, monitoring, and control, I chose monitoring as the final approach for the product.

Solution.

Solution.

Overview

The product is a compact, attachable extension designed for smartwatches that combines CO detection with accelerometer data from the smartwatch to determine if the user is smoking. When smoking is detected, a notification is sent to the user’s phone.

Ideal Use Case

This product is perfect for individuals looking to track and reduce their smoking habits. This product may be used in combination with smoking cessation apps to help smokers gain accurate insights into their smoking habits and encourage them to quit though gamification of the process.

Features

  • Real-time tracking of smoking behavior

  • Enables a more seamless experience of smoking cessation apps and gamification features.

  • Compact design that attaches to any compatible smartwatch, allowing users to carry the device easily and integrate it into their daily routine.

  • Allows users to view smoking patterns and progress, helping them see the benefits of reducing smoking over time.

Tech Plan.

Tech Plan.

Components

How Does It Work?

The POC combined CO detection and accelerometer readings to accurately identify when the user was smoking.

Working Proof of Concept

The proof of concept was made on a breadboard to test the functionality of components, technical feasibility, and practicality of idea.

Close up of POC.

POC in action.

Form and CMF Exploration.

Form and CMF Exploration.

Some of the form and placement explorations.

Form Prototypes

CMF Moodboard

Final Design.

Final Design.

Product in context

© 2025 by Shaardul. All rights reserved.

© 2025 by Shaardul. All rights reserved.