Designing personal systems for mindful decision making

Today's personal technologies are generally seen as reducing mindfulness. Users are so absorbed in their devices that they behave in more distracted ways, are less engaged in face-to-face social interactions and increase their sedentary behaviors. This often results in behaviors and habits that are misaligned with the user's goals. Current attempts to use technology to improve well-being, such as fitness trackers, do not take advantage of some of the benefits that mobile, personal technologies have to offer. Specifically, increasingly mobile personal technologies have the opportunity to intervene in the moment when a person is making a decision with personalized, "just-in- time" nudges that may result in a more mindful decision. This thesis explores how to design personalized, wearable technologies that can support more mindful behavior. It investigates the various challenges that exists when designing such systems-.and provides design considerations for future systems. Human behavior researchers have argued that although a user may have the motivation and the ability to change behavior, a trigger is required to make a new behavior happen. This thesis specifically focuses on considerations that should be made when designing triggers for persuasive, wearable systems. These include ensuring the user's attention, utilizing contextual cues to determine timing of triggers and using personalized messages in a trigger. The thesis presents several pilots studies in using personal, wearable technologies to offer "just-in-time" triggers for behavior. The design and implementation of these systems is detailed and preliminary data regarding their effectiveness is discussed. These systems explore what challenges emerge when applying traditional behavior change theories on personalized, wearable systems.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2016

Author dc:creator

• Farve, Niaja Nichole

Advisor dc:contributor.advisor

• Pattie Maes.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/105667

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/105667