Research

Charlotte Lee

Winter 2019

Creepy Technology

Co-directed by Scott Mainwaring, Affiliate Assistant Professor; Charlotte Lee, Associate Professor

With the rise of infrastructures of surveillance capitalism, increasingly intimate personal technologies, security breaches and risks, and technological impersonations, a range of user experiences have been or are being termed "creepy". But what is creepiness, and what distinct varieties of creepy technologies and experiences are there?

In this DRG we will explore and critique theories of creepiness and relevant empirical data, and collect and analyze creepy technologies and technological experiences. We will survey the relevant literature with in HCI, but also draw in work from the social sciences and humanities. We will also bring in examples and stories of technocreepiness for discussion and analysis. The goal is both to arrive at a better understanding of this loaded term, and to inspire and ground follow-on research and writing by DRG participants. DRG participants will lead discussions on readings and on examples they will bring in for show-and-tell.

This DRG can be taken for 2 credits (CR/NC), and is open to graduate and undergraduate students from any department. If you are interested in participating, please fill out this survey on Catalyst

 


Autumn 2018

Developing a Trajectory for Collaborative Cyberinfrastructure for Ocean Science

Co-directed by Andy Neang, PhD student; Michael Beach, PhD student; Charlotte Lee, Associate Professor

How do ocean science researchers collaborate with each other today? How do they want to be able to collaborate next year? Or in ten years? How can we support the design of increasingly complex, long-term, and multidisciplinary collaborations? How do we design information systems and tools that work for current practice while also enabling breakthroughs previously thought unattainable?

This directed research group will help develop a trajectory for an oceanographic cyberinfrastructure project that supports emergent scientific collaborations. During the first few weeks, we will dive deep into a rich ethnographic dataset that our lab has been collecting from the field in order to become familiar with the design/research space. Using design sprint methodologies to guide collaboration, we will create memos, identify key findings, and map out the connections between a multi-disciplinary group of investigators from oceanography, statistics, data science, ecology, biogeochemistry and remote sensing, and the flow of data. Mid-quarter we will synthesize what we have created and develop visualizations to present to the science community that we are designing for. The final weeks of the quarter will be used for reflective writings.

The approximate schedule for the focus of each week is as follows:

  • Weeks 1–3: Get familiar with the dataset. Create annotation, memos, key findings in a collaborative way.
  • Weeks 4–8: Synthesize what we've created. Create maps, visualizations, and other presentation materials.
  • Weeks 9–10: Reflection

Our research group is looking for four to six highly motivated group members to join us for Autumn 2018 quarter. BS, MS, and PhD students are all welcome. Participants in this research group will enroll for 3–4 credits (CR/NC) unless with special permission from the instructor through HCDE 596 (for graduate students) or HCDE 496 (for undergraduate students). We will meet for 90 minutes once per week. Meeting time is TBD and will scheduled for convenience of all participants.

Please note that space is limited. We ask that applicants submit a short statement of interest by Thursday, September 20, 2018 using the following form: https://goo.gl/JRxW6v.


Dr. Lee's Research Group archive