Author pages are created from data sourced from our academic publisher partnerships and public sources.
Share This Author
Understanding quantified-selfers' practices in collecting and exploring personal data
A qualitative and quantitative analysis of 52 video recordings of Quantified Self Meetup talks to understand what they did, how they did it, and what they learned, and several common pitfalls to self-tracking are highlighted.
Heuristic evaluation of ambient displays
- Jennifer Mankoff, A. Dey, Gary Hsieh, J. Kientz, Scott Lederer, Morgan G. Ames
- Computer ScienceCHI '03
- 5 April 2003
A technique for evaluating the usability and effectiveness of ambient displays and a modified set of heuristics were defined, showing that heuristic evaluation is an effective technique for identifying usability issues with ambient displays.
At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award)
- Shwetak N. Patel, Thomas Robertson, J. Kientz, M. Reynolds, G. Abowd
- Computer ScienceUbiComp
- 16 September 2007
This work uses machine learning techniques to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove and indicates that the system can learn and classify various electrical events with accuracies ranging from 85-90%.
Texting while Parenting: How Adults Use Mobile Phones while Caring for Children at the Playground
- Alexis Hiniker, Kiley Sobel, Hye-Ji Suh, Yi-Chen Sung, Charlotte P. Lee, J. Kientz
- 18 April 2015
It was found that phone use was a small part of playground time, yet a notable source of guilt, and users' mixed success with engaging in intentional periods of non-use suggests that a design agenda which prioritizes cycles of engagement, disengagement, and re-engagement may be of value to this group.
Randomized, controlled pilot trial of a smartphone app for smoking cessation using acceptance and commitment therapy.
Not at the Dinner Table: Parents' and Children's Perspectives on Family Technology Rules
A survey with 249 parent-child pairs to understand the types of technology rules they have established in their family and how effective those rules are perceived to be, and several mechanisms by which designers and families can improve parent- child relationships around technology use are suggested.
Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools
It is found that women track their menstrual cycle for varied reasons that include remembering and predicting their period as well as informing conversations with healthcare providers and expanding the field's conceptions of personal informatics.
Boundary Negotiating Artifacts in Personal Informatics: Patient-Provider Collaboration with Patient-Generated Data
Examination of patient expectations and current collaboration practices around patient-generated data finds that collaboration occurs in every stage of self- tracking and that patients and providers create boundary negotiating artifacts to support the collaboration.
Communication Breakdowns Between Families and Alexa
- Erin Beneteau, Olivia K. Richards, M. Zhang, J. Kientz, Jason C. Yip, Alexis Hiniker
- 2 May 2019
It is indicated that family members collaborate using discourse scaffolding (supportive communication guidance) and a variety of speech and language modifications in their attempts to repair communication breakdowns with Alexa.
From Personal Informatics to Family Informatics: Understanding Family Practices around Health Monitoring
Although similarities between family-centered tracking and personal self-tracking are identified, it is found families want to: (1) identify ripple effects between family members; (2) consider both caregivers and children as trackers to support distributing the burdens of tracking across family members.