[2602.10947] Computational Phenomenology of Temporal Experience in Autism: Quantifying the Emotional and Narrative Characteristics of Lived Unpredictability
Summary
This article explores the emotional and narrative characteristics of temporal experience in autistic individuals, highlighting the unpredictability they face and its impact on relationships.
Why It Matters
Understanding the lived experiences of autistic individuals through a computational lens can enhance empathy and inform better support strategies. This research bridges qualitative and quantitative methodologies, addressing gaps in existing autism studies and emphasizing the need for a nuanced perspective on autistic narratives.
Key Takeaways
- Autistic individuals experience significant unpredictability in their temporal experiences, affecting their relationships.
- The study integrates phenomenological interviews and computational analysis to provide a comprehensive understanding of these experiences.
- Autistic narratives are more negatively valenced, particularly in terms of immediacy and suddenness.
- Findings suggest that challenges in temporal experience stem from lived unpredictability rather than narrative construction.
- This research contributes to a more nuanced understanding of autism beyond traditional deficit-based models.
Computer Science > Computation and Language arXiv:2602.10947 (cs) [Submitted on 11 Feb 2026 (v1), last revised 13 Feb 2026 (this version, v2)] Title:Computational Phenomenology of Temporal Experience in Autism: Quantifying the Emotional and Narrative Characteristics of Lived Unpredictability Authors:Kacper Dudzic, Karolina Drożdż, Maciej Wodziński, Anastazja Szuła, Marcin Moskalewicz View a PDF of the paper titled Computational Phenomenology of Temporal Experience in Autism: Quantifying the Emotional and Narrative Characteristics of Lived Unpredictability, by Kacper Dudzic and 4 other authors View PDF HTML (experimental) Abstract:Disturbances in temporality, such as desynchronization with the social environment and its unpredictability, are considered core features of autism with a deep impact on relationships. However, limitations regarding research on this issue include: 1) the dominance of deficit-based medical models of autism, 2) sample size in qualitative research, and 3) the lack of phenomenological anchoring in computational research. To bridge the gap between phenomenological and computational approaches and overcome sample-size limitations, our research integrated three methodologies. Study A: structured phenomenological interviews with autistic individuals using the Transdiagnostic Assessment of Temporal Experience. Study B: computational analysis of an autobiographical corpus of autistic narratives built for this purpose. Study C: a replication of a computation...