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Research

Sean Munson

Spring 2022

Understanding experiences from people who have gained insights from tracking, that suggest taking action

Led by: Carla Castillo, PhD Student, HCDE
With guidance from faculty advisor, Professor Sean Munson, HCDE

Note this DRG is at capacity for spring quarter and no longer accepting applications.

About the DRG:

In this DRG, we will conduct interviews, analyze qualitative surveys and interview data gathered from this ongoing research study.

This project gathers experiences from people that use or have used technology, journaling, or any other way to track within three tracking domains (health, physical activity or finances) and have gotten insights from tracking. Tracking information over time can lead people to learn something or gain insights about themselves. Sometimes insights suggest taking action. Yet taking action from tracking can be difficult to do. To help us better understand this problem we are gathering and analyzing experiences from people who have gained insights, from tracking, that suggest taking action.

We are looking for:

  • 2-3 undergraduate or masters students
  • Students with interviewing and qualitative coding experience (in a research project or in a qualitative methods course)
  • Nice to have:
    • Interest in self-tracking within the health, physical activity or finance domain
    • Interest in qualitative research

Expectations:

  • Attend weekly meetings (in-person; day and time TBD)
  • Later in the quarter, we may choose to be remote and asynchronous due to the nature of the work
  • Work on the DRG 2-3 hours per credit (2 CR requires about 6 hours a week, excluding “class” time). You can choose between taking 2-4 credits.

This DRG will consist of:

  • Assisting with scheduling and conducting interviews
  • Coding survey and interviews
  • Collaborate on analysis of the survey and interview data during the coding process

Questions? Please contact Carla (carla23@uw.edu).


Spring 2022

Understanding how Older Adults and their Support Network use Always-On IoT Devices

Led by:
Shengzhi Wang, PhD Student, HCDE 
Neilly H. Tan, PhD Student, HCDE 
With guidance from faculty advisor, Professor Sean Munson, HCDE

Note this DRG is at capacity for spring quarter and no longer accepting applications.

We are looking for:

  • 2-3 undergraduate or masters students
  • Folks with qualitative coding experience (in a research project or in a qualitative methods course)
  • Nice to have:
    • Interest in designing or evaluating technology for older adults
    • Interest in researching smart home technologies
    • Interest in qualitative research

About the DRG:
In this DRG we will be gathering and exploring interview data through a qualitative coding process for an ongoing research study. This project focuses on how older adults and people in their support networks use and perceive always-on smart home technologies, with the goal of learning more about associated privacy concerns, family dynamics, support networks, and design opportunities. We are collecting interview data from conversations with older adults and family members about their devices and other existing smart home technologies. 

What students will do:

  • Assist with scheduling and conducting interviews
  • Assist with transcribing interviews
  • Code interviews
  • Collaborate on the analysis of the interview data during the coding process

Expectations:

  • Attend weekly meetings (Likely on Zoom, time TBD)
  • Work on the DRG 2-3 hours per credit (you can choose between taking 2-4 credits) per week outside of weekly meetings 

Note this DRG is at capacity for spring quarter and no longer accepting applications.


Dr. Munson's Research Group archive