Abstract
Personal Informatics (PI) systems allow their users to collect data from a variety of sources for the purpose of extracting meaningful insights and making positive changes in their lives. Emerging consumer-grade Brain- Computer Interface (BCI)/EEG devices may provide an additional source of data for incorporating into PI systems. To explore users’ expectations for brain- related PI systems we provided participants with a consumer-grade BCI headset and prototype mobile application capable of visualizing and recording their brain waves. Participants were interviewed to assess expectations for this type of technology. Our work contributes an understanding of users’ various motivations for tracking brain activity data within a personal informatics system. We present our findings so far and discuss their implications for the design of a Cognitive Personal Informatics system, which we intend to deploy in a follow-up longitudinal field study.
| Original language | English |
|---|---|
| Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery |
| Volume | 2018-April |
| ISBN (Electronic) | 9781450356206, 9781450356213 |
| DOIs | |
| Publication status | Published - 21 Apr 2018 |
Keywords
- Brain Computer Interfaces
- EEG
- Health
- Personal Informatics
- Quantified Self
- Self-tracking
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
Access to Document
- CogTracker SIGCHI LBW
(C) ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI'18 Extended Abstracts, April 21 - 26, 2018, http://doi.acm.org/10.1145/3170427.3188530