Nediyana Daskalova


I am a final year PhD student at the Department of Computer Science, at Brown University. My advisor is Jeff Huang, and I am a part of the Human-Computer Interaction research group. My research interests are in human-computer interaction and personal informatics with a special focus on sleep-tracking and self-experiments.

I am originally from Bulgaria with a computer science degree from Grinnell College in Iowa.

Currently, I am doing research on how to improve people's sleep habits. I am working on a sleep tracking application, SleepCoacher, that will help people improve their sleep by providing them with personalized recommendations.




Research Projects


Publications

  • SleepBandits: Guided Flexible Self-Experiments for Sleep
    Nediyana Daskalova, Jina Yoon, Lisa Wang, Cintia Araujo, Guillermo Beltran, Nicole Nugent, John McGeary, Joseph Jay Williams, Jeff Huang. ACM Conference on Human Factors in Computing Systems (CHI 2020). [to appear]

  • Investigating the Effectiveness of Cohort-Based Sleep Recommendations
    Nediyana Daskalova, Bongshin Lee, Jeff Huang, Chester Ni, Jessica Lundin. (Ubicomp 2018). PDF

  • Cohorts of Self-Experimenters: Lessons Learned from Personal Informatics Self-Experiments
    Nediyana Daskalova, Karthik Desingh, Alexandra Papoutsaki, Diane Schulze, Heather Sha, and Jeff Huang. (Ubicomp 2017). PDF

  • "If a person is emailing you, it just doesn't make sense": Exploring Changing Consumer Behaviors in Email
    Frank Bentley, Nediyana Daskalova, Nazanin Andalibi. ACM Conference on Human Factors in Computing Systems (CHI 2017). PDF

  • SleepCoacher: A Personalized Automated Self-Experimentation System for Sleep Recommendations
    Nediyana Daskalova, Danae Metaxa-Kakavouli, Adrinne Tran, Nicole Nugent, Julie Boergers, John McGeary, and Jeff Huang. ACM User Interface Software and Technology Symposium (UIST 2016). PDF - Video - Source Code

  • Webgazer: Scalable webcam eyetracking using user interactions
    Alexandra Papoutsaki, Patsorn Sangkloy, James Laskey, Nediyana Daskalova, Jeff Huang, and James Hays. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016). PDF - Website

  • Informing Design of Suggestion and Self-Monitoring Tools through Participatory Experience Prototypes
    Nediyana Daskalova, Nathalie Ford, Ann Hu, Kyle Moorehead, Ben Wagnon, and Janet Davis. The 9th International Conference on Persuasive Technology (Persuasive 2014). PDF


Case Studies and Other Publications

  • HeyPillow: Computationally Guided Sleep Behavior Study Through Sensing
    Nediyana Daskalova, Jiaju Ma, Tiffany Chen, Valerie Nguon, Jing Qian, Chonghui Chen and Jeff Huang. ACM Conference on Human Factors in Computing Systems (CHI 2019). Workgroup on Interactive Systems in Health (WISH). Poster. Video

  • Personalized Behavior-Powered Systems for Guiding Self-Experiments
    Nediyana Daskalova. ACM Conference on Human Factors in Computing Systems (CHI 2018). Doctoral Consortium.
    PDF

  • Comparing the Reliability of Amazon Mechanical Turk and Survey Monkey to Traditional Market Research Surveys
    Frank Bentley, Nediyana Daskalova, Brooke White. ACM Conference on Human Factors in Computing Systems (CHI 2017). Case Study. PDF

  • It's All About Coupons: Exploring Coupon Use Behaviors in Email
    Nediyana Daskalova, Frank Bentley, Nazanin Andalibi. ACM Conference on Human Factors in Computing Systems (CHI 2017). Case Study. PDF


Awards and Scholarships

  • Invitation & travel grant for CHI 2018 Doctoral Consortium
  • Brown University Travel Grant for CHI 2016, CHI 2017, UbiComp 2017
  • ACM-W Scholarship for attending UIST 2016
  • Best Aging in Place Hack at MIT's Grand Hack 2016
  • CRA-W Grad Cohort Workshop Scholarships 2015, 2016
  • Dropbox Scholarship for Grace Hopper Celebration of Women in Computing (GHC) 2013
  • Brown University Travel Grant for GHC 2014, GHC 2016


Updates

  • May - August 2019: I worked with 3 REU students from liberal arts colleges.

  • Oct 2018: I presented the Investigating the Effectiveness of Cohort-Based Sleep Recommendations paper at Ubicomp in Singapore.

  • June 18, 2018 - August 31, 2018: I was an intern on the Instagram Discovery Explore team in New York, NY.

  • May 24, 2018: I passed my thesis proposal: "Personalized Behavior-Powered Systems for Guiding Self-Experiments."

  • Nov 24, 2017: I was accepted to the CHI Doctoral Consortium. I am so excited for the discussions we are going to have with the rest of the participants about our research projects.

  • Sept 15, 2017: I presented the Cohorts of Self-Experimenters: Lessons Learned from Personal Informatics Self-Experiments paper at Ubicomp in Maui, Hawaii.

  • Apr 3, 2017 - June 30, 2017: I was an intern on the Health Team of Microsoft Research in Redmond, WA.

  • Feb 1, 2017: We had one full paper and two case studies accepted to CHI 2017, based on work completed during my internship at Yahoo.

  • Oct 18, 2016: I presented the SleepCoacher paper at UIST in Tokyo, Japan.

  • Jun 6, 2016 - Aug 26, 2016: I was an intern on the Yahoo UX Research team in Sunnyvale, CA, with Frank Bentley as my manager.