With the advances in self-tracking technologies and the prevalence of low-cost tracking devices, “Quantified-Self” (QS), a community where people track their personal data and gain self-knowledge through numbers, has been growing in recent years. Inspired by the QS movement, I did a 2-month “Quantified-Cat” project — tracking and analyzing my cat’s health and behavioral data. This project turned out to save her from a miserable infection and helped me better understand her daily activities.

How Missy looked like in Aug, 2017 and Jan, 2018
How Missy looked like in Aug, 2017 and Jan, 2018
What Missy looked like in Aug 2017 and Jan 2018: the same cat, same posture, but different size 😂

In Aug 2017, I adopted a two-year old cat Missy, from a shelter at Washington D.C. Missy was shy and skinny when she first came home…


How speech input can help food journaling.

Photo by Dan Gold on Unsplash.

Yuhan Luo, Young-Ho Kim, Bongshin Lee, Naeemul Hassan, and Eun Kyoung Choe

Food journaling can be achieved by many different approaches, such as searching the name of food within existing databases, taking a photo of the meal, using barcode scanning, or wearing automated sensors that automatically detect eating episodes. While most of these approaches focus on capturing calorie and nutrient information, recent research has highlighted the importance of capturing broader eating contexts — such as social environment, mood, and feelings — to foster reflection on one’s food decisions.

Food decision-making is an individualized, multilevel, and context-dependent process involving time, location…


Shaping a consistent exercise experience by complementing a mobile app with a smart speaker.

This article summarizes our CHI 2020 paper on Shaping Consistent Exercise Experience by Complementing a Mobile App with a Smart Speaker, by Yuhan Luo, Bongshin Lee, and Eun Kyoung Choe.

The TandemTrack app and Alexa skill.

Voice interaction has been rapidly integrated into people’s daily life in recent years, especially with the introduction of smart speakers such as Amazon Echo and Google Home. As a result, the number of third-party applications for smart speakers has been growing consistently. Taking Amazon Alexa as an example, the device provides numerous “skills” for many kinds…


Identifying design opportunities for food tracker customization

This article was originally published in Sparks of Innovation: Stories from the HCIL. It will be presented at CHI 2019, a conference of Human-Computer Interaction, on Wednesday 8th May 2019 at 9:00 in the session Design Methods for Personalized and Patient-Centered Care.

Figure 1. Search results for “food tracking” from the Google Play store.

Food tracking has become a popular practice. It helps people be aware of their diet and make informed food choices. Food tracking data also have clinical values for health providers: they assess patients’ nutrients intake and provide appropriate treatment. But these values only manifest when the data collected are relevant to…


Identifying design opportunities for food tracker customization

Figure 1. Search results for “food tracking” from the Google Play store.

Food tracking has become a popular practice. It helps people be aware of their diet and make informed food choices. The data collected through food tracking also have clinical values for health providers: they assess patients’ nutrients intake and provide appropriate treatment. But these values only manifest when the data are relevant to individual patients’ needs. For example, irritable bowel syndrome (IBS) patients need to track symptoms and food triggers, and eating disorder patients need to capture their emotion towards food to develop mindfulness. …

Yuhan Luo

Ph.D. Candidate in HCI @UMD https://www.terpconnect.umd.edu/~yuhanluo/

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