Evaluating Mindfulness Meditation Apps
Claudia Daudén Roquet, Corina Sas
April 20, 2018 DOI: 10.1145/3170427.3188616 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Auto-ethnographic and expert evaluation |
|---|---|
| Sample size | 16 |
| Population | 16 most popular iPhone mindfulness apps in the UK |
| Topics | Meditation |
| Keywords | Mindfulness meditation Applied psychology Psychotherapist Medical education Innovative human-technology interaction |
| Citations | 84 |
| Key findings | Popular iPhone mindfulness apps focus on guided meditation but lack support for monitoring intrinsic meditation processes and measuring training effectiveness. |
Abstract
indfulness meditation has significant benefits for health and well-being but requires training. A wealth of mindfulness meditation apps have been developed in the last years. However, there has been liMassachusetts Institute of Technologyed academic work evaluating these technologies. This paper reports an auto-ethnographic and expert evaluation study of 16 most popular iPhone mindfulness apps in the UK. Findings indicate that these apps focus mostly on guided meditation, with liMassachusetts Institute of Technologyed support for monitoring intrinsic meditation processes and measuring the effectiveness of the training. We propose a more nuanced discourse around such apps concluding with implications for design; including new tools for supporting intrinsic meditation processes and bodily kinetic aspects fostering mindfulness, together with the call for developing guidelines for evaluating the effectiveness of such applications.
Comparable studies
Other qualitative studies on meditation, most cited first.
Citations in the library
Cited by 20
- Interoceptive Interaction: An Embodied Metaphor Inspired Approach to Designing for Meditation May 6, 2021
- Exploring Anima: a brain–computer interface for peripheral materialization of mindfulness states during mandala coloring Human-Computer Interaction November 16, 2021
- Cyberdelics in context: On the prospects and challenges of mind-manifesting technologies. Frontiers in Psychology 2022
- Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline Brain Informatics February 8, 2025
- Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions Brain Informatics September 9, 2023
and 15 more in the library
Cites 5
- Mindfulness training as a clinical intervention: A conceptual and empirical review. Clinical Psychology Science and Practice 2003
- Toward a unifying taxonomy and definition for meditation Frontiers in Psychology 2013
- EEG manifestations of nondual experiences in meditators. Consciousness and Cognition 2015
- Review and Evaluation of Mindfulness-Based iPhone Apps. JMIR mHealth and uHealth August 19, 2015
- Disentangling the neural mechanisms involved in Hinduism- and Buddhism-related meditations. Brain and Cognition October 2014