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Lujain Ibrahim

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Unclaimed · AI-structured profileORCID OpenAlex

Human-AI interaction researcher studying how people rely on and bond with personalized language models.

2

papers here

2

reviewed by Evolve

0

first-author

0

corresponding

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works · OpenAlex

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h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-15) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.

Research profile

Output: insufficient dataOutputImpact: insufficient dataImpactFocus: 0/100FocusCollaboration: 55/100CollaborationActivity: insufficient dataActivityReproducibility: 38/100Reproducibility

Output—

No score yet: the snapshot contains no publication counts or productivity measures beyond the two catalogued 2026 preprints. This axis would measure output volume over time, such as papers per year and career-level production, and cannot be estimated from current data.

Impact—

No score yet: no citation counts, h-index or venue-visibility data accompany the two arXiv preprints in the snapshot. This axis would measure scholarly influence through citations and uptake of the work by other researchers, and is left unquantified here.

Focus0/100

The focus axis is scored 0, the lowest value in the radar. The recorded field distribution splits evenly (0.5/0.5) between two nearly synonymous labels, “human-AI interaction (HCI / psychology of AI)” and “human-computer interaction / human-AI interaction”, so the zero likely reflects fragmented field taxonomy in bibliographic records rather than genuinely scattered output; topical concentration on personalization and AI reliance is consistent across both catalogued papers.

Collaboration55/100

Bibliometric data record 15 distinct coauthors and a collaboration score of 55, indicating moderately team-based work rather than solo or large-consortium patterns. Twelve recurring collaborators include Canfer Akbulut, Justine Breuch, Arianna Manzini, Matija Franklin, Roma Patel, Iason Gabriel, Kristian Lum, Laura Weidinger, Myra Cheng, Grace Liu, Michelle S. Lam and Vishakh Padmakumar. Both catalogued papers place Ibrahim in a middle author position without corresponding status, consistent with contributory roles in group projects.

Activity—

No score yet: only two 2026 preprints are recorded, too few to characterize publishing cadence. This axis would measure recent engagement, such as output frequency and continuity of research activity across recent years, and cannot be estimated from the current data.

Reproducibility38/100

The reproducibility mean across the two scored papers is 38, a below-middle value. One catalogued study is rated low and the other medium for reproducibility readiness, and those ratings anchor the score. Both papers nonetheless use preregistered designs — a five-day randomized controlled trial with N=992 and a multi-dataset reliance study — indicating methodological transparency that the readiness ratings do not fully reflect.

Research summary

Lujain Ibrahim works at the intersection of human-computer interaction and human-AI interaction, with an emphasis on the psychology of how people engage with language models. The Evolve catalog contains two 2026 arXiv preprints bearing their name, in both of which they appear as a middle author. The first is a preregistered five-day randomized controlled trial with 992 participants, finding that repeated exposure rather than personalization drives gains in users' felt closeness to a model; Evolve's review calls the study rigorous while cautioning that the abstract overstates a marginal regret effect. The second examines reliance on LLMs as oracles for subjective personal questions, combining multiple datasets and preregistration, though its evidence rests on LLM judges and self-selected donors. Bibliometric raw data record 15 distinct coauthors and a collaboration score of 55, with twelve recurring collaborators including Canfer Akbulut, Arianna Manzini, Iason Gabriel, Kristian Lum, Laura Weidinger, Myra Cheng and Michelle S. Lam. A reproducibility mean of 38 across two papers rated low and medium for readiness sits in tension with the consistently preregistered designs. Output, impact and activity metrics are not yet computed, so this profile should be read as an early, catalog-scoped portrait.

Collaboration pattern

Raw bibliometric data record 15 distinct coauthors and a collaboration score of 55, pointing to moderately team-based work. Twelve recurring collaborators include Canfer Akbulut, Justine Breuch, Arianna Manzini, Matija Franklin, Roma Patel, Iason Gabriel, Kristian Lum, Laura Weidinger, Myra Cheng, Grace Liu, Michelle S. Lam and Vishakh Padmakumar. In both catalogued papers Ibrahim appears as a middle author without corresponding-author status, consistent with a contributory role in multi-author experimental teams.

Research keywords

human-AI interactionhuman-computer interactionlanguage model personalizationoverreliance on AILLM-as-oracleuser autonomyself-disclosurerandomized controlled triallongitudinal studyLLM-as-judgepreregistration

Highlights

Timeline

  1. 2026Publishes a preregistered five-day randomized controlled trial (N=992) on personalizing language models, finding repeated exposure rather than personalization drives closeness gains.
  2. 2026Publishes a multi-dataset, preregistered study on people's reliance on LLMs as oracles for subjective personal questions.
  3. 2026Both catalogued works appear in the same year, establishing a research concentration on how individuals rely on and relate to language models.

Papers in the Evolve catalog

Frequent co-authors

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About this profile

This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.

  • Bibliometric scores derive from a public bibliometric snapshot; output, impact and activity axes are not yet computed.
  • Only two papers, both 2026 arXiv preprints, are reviewed in the Evolve catalog, so the profile reflects a narrow slice of this researcher's work.
  • Institution and country are absent from the source data; identity is name-resolved via ORCID 0000-0002-0395-784X from public bibliographic records.
  • The timeline draws only on provided paper years, so it collapses into the single year 2026.
Lujain Ibrahim — Researcher Profile | Evolve.Pub