Breathe Deep
| Autor: | Timothy Bickmore, Ameneh Shamekhi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Mindfulness
media_common.quotation_subject 05 social sciences Applied psychology Attendance 020207 software engineering 02 engineering and technology computer.software_genre Session (web analytics) Interactivity 0202 electrical engineering electronic engineering information engineering Breathing medicine Anxiety 0501 psychology and cognitive sciences Meditation Dialog system medicine.symptom Psychology computer 050107 human factors media_common |
| Zdroj: | PervasiveHealth |
| DOI: | 10.1145/3240925.3240940 |
| Popis: | Mindfulness meditation has been demonstrated to be an effective approach for alleviating symptoms related to a variety of chronic health conditions, including pain, anxiety, and depression. Meditation takes practice and requires training, especially for novices, to learn mindfulness and emotion regulation. However, while face-to-face instructions can provide the best long-term results, many people cannot afford or schedule attendance at meditation classes. We present an automated conversational agent that acts as a virtual meditation coach that is interactive and adaptive to a user's breathing behavior, based on inputs from a respiration sensor in a meditation session. We designed and validated three interaction techniques based on the user's breathing. Results from two experimental studies demonstrate that users are highly receptive of the virtual coach technology, and appreciated the interactivity afforded by the respiration sensor. Participants also felt more relaxed when the meditation coach adapted the instructions to their breathing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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