Paritosh Bahirat

Research Projects

Process tracing to improve household IoT users privacy decisions


What's the difference between interacting with Smart Technology in a public space and in private confines of your household? How does it impact privacy decision making? How does framing and default affect ones decision making?


These are one of the few questions which we need to answer as our ever evolving technology enfolds a highly connected future ahead of us. I am collaborating with my PhD advisor Dr. Bart Knijnenburg and Yang He to explore the complexities of contextual changes in privacy decision making for Household IoT environments.


This project is funded by Samsung Research America and National Science Foundation (NSF).


We completed data collection from 1186 participants and I am currently doing statistical data analysis of the dataset. We already have some interesting results with us and are now focusing on creating detailed decision making models using which we hope to explain privacy decision making in Household IoT environments.


A copy of paper which I wrote for a poster at IUI-2018 can be found here. (For academic purposes only)


More updates to follow!


A data driven approach to design Privacy Settings Interfaces


For this project, I collaborated with my advisor Dr. Bart Knijnenburg, Abhilash Menon and Yang He, where we investigated the how the attitudes towards privacy affect the privacy decision making in generalized IOT environments. This study comprised of data collected from 200 participants, where they were presented with 14 scenarios and were further asked about their attitudes (risk, comfort, appropriateness) and behavior (allow/not allow and notify/don't notify).


We observed that, the behavior to whether 'allow' collection of specific data item or not is in fact mediated by the attitude (risk, comfort and appropriateness) towards the overall scenario.


In this project, I conducted statistical data analysis using R to help develop the privacy decision making model. I also played a key role in designing the interfaces, I used Axure RP to design the interfaces. A paper related to this study is under review at ACM IUI 2018.


Our paper related to this study was accepted at ACM-IUI 2018 and it can be accessed for academic purposes here.



Understanding differences in Perception and Adoption for the Internet of Things


For this project, I collaborated with Dr. Pamela Wisniewski, Dr. Xinru Page, Dr. Bart Knijnenburg and Muhammad Safi , where we investigated generational differences regarding perception and adoption of IoT.


The data (courtesy Dr. Pam) was obtained by interviewing 19 students and their parents. Hence, a total of 38 participants. The interviews were semi structured and we varied the context by using contexts of Wearable IOT devices and Environmental IOT devices. Detailed findings of the study are already mentioned in our paper currently under review at ACM CHI-2018.


I primarily contributed by cleaning, coding and drawing key insights from the massive qualitative data obtained from the interviews. We have come only half way yet with this project and I am currently looking at data related to Contextual Integrity (CI) questions which were also asked to participants. I am using R-QDA (Qualitative Data Analysis) package in R to conduct my data analysis.


I recently co-authored a paper about this study, which is currently under review at CHI-2018; please contact me if you want to take a look at it.



In Class Projects

Preserving Privacy in Autonomous Driving Vehicles


In class project as a part of CPS 6180 (Usable Privacy and Security) course to design an possible interaction method or an interface which can be used to manage Privacy in the futuristic autonomous vehicles.


The project followed the following stepwise product development methodology:


1. Using semi structured interviews to gather user needs.


2. Competitive Benchmarking and evaluating the most similar technology available (Used iPhone's privacy settings interface).


3. Designing a prototype for managing privacy inside autonomous vehicles.


4. Testing the designed prototype:


  1. Since we did not have an actual autonomous vehicle to test ou prototype, we created a simulation by placing Tablets at two locations inside a car.
  2. The users were asked to complete set of tasks, the time needed to  complete the tasks was recorded. We also utilized think aloud methodology to gain deeper insights into hurdles faced by users while using the prototype.
  3. Finally, the users were also asked to complete a survey which included                   System Usability Scale.


5. Iterated through the prototyping and user testing phase.


A copy of report can be accessed here.



Designing app for CA2VES electricity module


In class project as a part of CPS 6140 (Introduction to Human Computer Interaction) course to design an app for iPhone.


The aim was to redesign a windows based application such that it could be used on an iPhone. The original software was developed in order to simulate training to use devices such as ammeter, voltmeter, breadboard and so on. This project was challenging in a sense that the area of screen available to conduct same simulatory experience was drastically reduced. Even the user would have to rely on just touch to successfully navigate and learn from the experience.


Gathered user needs to understand the issues with existing design. Worked upon those needs to create prototypes using Adobe XD and Adobe Photoshop to develop the application. Few snapshots on the left.

Sam's Gyro and Sheesh Kabab website


In class project as a part of IE 8020 (Design of Human Computer Systems) course to design a website for Sam's Gyro and Sheesh kebab.


For this project, I first identified the key stakeholders, created User Personas and  finally interviewed users to gather needs.


Conducted usability tests to iterate and arrive at the best possible design for clients.


This website was finally implemented in Wix specifically due to the restrictions from client's end towards ease of maintenance.

Website developed by Paritosh Bahirat. Updated in February 2018