Heather Kempton - The Consciousness Library

The Digital Kōan: Artificial Intelligence, Non-Self, and Contemplative Practice

Religions September 13, 2026 Heather Kempton

This article introduces the concept of the digital kōan, an AI-mediated contemplative prompt that functions as a catalyst for self-inquiry rather than a source of spiritual knowledge. Drawing on Buddhist psychology, cognitive science, and contemplative phenomenology, it examines how dialogue with conversational artificial intelligence can reveal the constructed nature of identity and illuminate...

DOI: 10.3390/rel17091074

Against the current: Sole authorship as method in contemplative and conceptual scholarship.

Accountability in research August 10, 2026 Heather Kempton

In the context of escalating authorship inflation and growing concern about research integrity, this article examines sole authorship as an epistemically and ethically grounded methodological condition within specific forms of contemplative and conceptual scholarship. Focusing on forms of inquiry in which interpretation constitutes the primary analytic process, I argue that sole authorship...

DOI: 10.1080/08989621.2026.2714974 Full text Mindful solitude Authorship ethics Contemplative scholarship Epistemic integrity +2

From Remembering to Bare Attention? Mindfulness, Cognition, and Measurement in Psychological Science. A Commentary on Chems-Maarif et al. (2025)

Mindfulness July 10, 2026 Heather Kempton

Abstract Recent efforts to refine the definition of mindfulness have aimed to improve conceptual clarity and psychometric coherence within psychological science. Chems-Maarif et al. (2025) contributed to this aim by proposing a definition centered on present-centred bare awareness across experiential domains, accompanied by an equanimous attitude. This commentary examines the implications of...

DOI: 10.1007/s12671-026-02927-2 Full text Mindfulness Contemplation Clarity Cognition +9

Machine Learning-Based Comparative Analysis of Subject-Independent EEG Data Classification Across Multiple Meditation and Non-Meditation Sessions

Sensors November 11, 2025 Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton et al. 1 citation

In this study, subject-independent (inter-subject), multiple-session electroencephalography (EEG) data classification was tested for loving-kindness meditation (LKM) and non-meditation. This is a novel study that extends our previous work on intra-subject, multiple-session classification. Here, two meditation techniques, LKM-Self and LKM-Other, were independently compared with non-meditation....

DOI: 10.3390/s25226876 Meditation Pattern recognition psychology Electroencephalography Feature extraction +8

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 Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton et al. 4 citations

This study focuses on classifying multiple sessions of loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data. This novel study focuses on using multiple sessions of EEG data from a single individual to train a machine learning pipeline, and then using a new session data from the same individual for the classification. Here, two meditation techniques, LKM-Self and...

DOI: 10.1186/s40708-025-00251-4 Full text Meditation Pipeline software Electroencephalography Short-time fourier transform +4

Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions

Brain Informatics September 9, 2023 Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh et al. 4 citations

While a very few studies have been conducted on classifying loving kindness meditation (LKM) and non-meditation electroencephalography (EEG) data for a single session, there are no such studies conducted for multiple session EEG data. Thus, this study aims at classifying existing raw EEG meditation data on single and multiple sessions to come up with meaningful inferences which will be highly...

DOI: 10.1186/s40708-023-00204-9 Meditation Electroencephalography Pattern recognition psychology Linear discriminant analysis +2

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