# Message Ritual: A Posthuman Account of Living with Lamp

arXiv: https://arxiv.org/abs/2301.10947 · HTML: https://mlsanity.com/paper/2301.10947/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 81 references that are in the map.
- First posted on arXiv 26 Jan 2023.

## Builds on (most cited first, 4 of 4)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Mirror Ritual: An Affective Interface for Emotional Self-Reflection](https://mlsanity.com/paper/2004.09685/) (2020)
- [Mirror Ritual: Human-Machine Co-Construction of Emotion](https://mlsanity.com/paper/2004.06883/) (2020)

## Built on by (most cited first, 2 of 2)

- [Reimagining Personal Data: Unlocking the Potential of AI-Generated Images in Personal Data Meaning-Making](https://mlsanity.com/paper/2502.18853/) (2025)
- [Mimetic Poet](https://mlsanity.com/paper/2407.11984/) (2024)

## Abstract (arXiv)

As we become increasingly entangled with digital technologies, the boundary between human and machine is progressively blurring. Adopting a performative, posthumanist perspective resolves this ambiguity by proposing that such boundaries are not predetermined, rather they are enacted within a certain material configuration. Using this approach, dubbed `Entanglement HCI', this paper presents Message Ritual -- a novel, integrated AI system that encourages the re-framing of memory through machine generated poetics. Embodied within a domestic table lamp, the system listens in on conversations occurring within the home, drawing out key topics and phrases of the day and reconstituting them through machine generated poetry, delivered to household members via SMS upon waking each morning. Participants across four households were asked to live with the lamp over a two week period. We present a diffractive analysis exploring how the lamp becomes with participants and discuss the implications of this method for future HCI research.