HCI researcher advancing conversational agents for older adults and personalization in AI-assisted decision-making
2
papers here
2
reviewed by Evolve
2
first-author
0
corresponding
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works · OpenAlex
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h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-13) 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—
Not scored — the underlying data is insufficient in this snapshot. This axis would measure total publication volume, venue placement, and authorship roles across the full record, none of which is currently available beyond the two arXiv preprints.
Impact—
Not scored — citation and influence data is insufficient here. This axis would measure citations, downstream adoption, and scholarly uptake of the two catalogued papers; no citation counts were provided in the source snapshot.
Focus0/100
Scores 0 on the 0–100 focus axis, with the field distribution split exactly 50/50 between human-computer interaction and human-computer interaction (AI-assisted decision-making). With only two catalogued 2026 papers, both first-authored and both built on conversational agents, the 0 score reflects a still-thin record rather than scattered interests: the two clusters share methods and a common conversational-agent thread.
Collaboration46/100
Scores 46, built from 9 distinct coauthors across the two catalogued papers. Smit Desai recurs across both entries, with Benjamin R. Cowan, Jessie Chin, Mahsa Nasri, Manasi Vaidya, and Melika Vafafar also among the 9 collaborators. Rahman is first author on both papers (neither corresponding), indicating a pattern of first-authored contributions inside small multi-person HCI teams rather than solo work.
Activity—
Not scored — recent publication cadence cannot be computed from this snapshot. This axis would measure publishing frequency and recency over time; only two 2026 papers are on record, too few to establish a research tempo.
Reproducibility38/100
Mean readiness of 38 across the 2 reproducibility-assessed papers. The preregistered N=240 personalization experiment rates medium, aided by preregistration and a controlled design, with minor hypothetical-stakes caveats. The MeBo study rates low: participatory design with 11 older adults and SUS 87.75 with 20 seniors, but simulated-year vignettes and no baseline condition limit replication. Added baselines and open materials would raise this axis.
Research summary
Hasibur Rahman (ORCID 0009-0008-0938-1504) is a human-computer interaction researcher whose Evolve catalog — two first-authored arXiv papers from 2026 — centers on conversational agents in two adjacent settings: relational companions for older adults and personalized AI-assisted decision-making. The MeBo study reports participatory design with 11 older adults yielding a relational voice-based memory companion, evaluated at SUS 87.75 with 20 seniors; Evolve notes simulated-year vignettes and the absence of a baseline limit its claims (low reproducibility readiness). The second study, "Annie, Are You Okay?", is a preregistered N=240 experiment on how style- and context-based personalization shape AI-assisted decision-making, finding context-based personalization sways stock choices without changing trust; Evolve rates it medium. The bibliometric radar — collaboration 46, focus 0, reproducibility 38 — is computed from 9 distinct coauthors and an even 50/50 field split between HCI and HCI (AI-assisted decision-making). Smit Desai recurs across both papers, with Benjamin R. Cowan, Jessie Chin, Mahsa Nasri, Manasi Vaidya, and Melika Vafafar among the 9 collaborators. Output, impact, and activity axes lack sufficient data, and institution and country are absent from the source record; this profile is name-resolved from public bibliographic data.
Collaboration pattern
Across 9 distinct coauthors on the two 2026 papers, Smit Desai is the only recurring collaborator, appearing in both catalog entries. The wider network includes Benjamin R. Cowan, Jessie Chin, Mahsa Nasri, Manasi Vaidya, and Melika Vafafar. Rahman takes the first-author position on both papers (neither corresponding), consistent with early-stage first-authored work within small HCI project teams.
Research keywords
Highlights
MeBo: a relational voice memory companion for older adults
Preregistered evidence that context-based personalization sways decisions
One thread: conversational agents across care and decision support
Both first-authored papers share a conversational-agent core — relational memory companions for older adults on one side, personalized AI-assisted decision-making on the other — matching the 50/50 field split in the bibliometric data.
Timeline
- 2026First-authored the arXiv study "MeBo Leaves a Piece of You Behind": participatory design with 11 older adults yields a relational voice-based memory companion, rated SUS 87.75 with 20 seniors.
- 2026First-authored the preregistered experiment "Annie, Are You Okay?" (N=240) on style- and context-based personalization in AI-assisted decision-making; context-based personalization shifts stock choices without changing trust.
- 2026Both papers enter the Evolve catalog with reproducibility readiness ratings of low (MeBo) and medium (Annie); the coauthor network records 9 distinct collaborators, with Smit Desai recurring across both papers.
Papers in the Evolve catalog
Frequent co-authors
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 radar scores are computed from OpenAlex-derived bibliographic data; the reviewed catalog covers only 2 arXiv papers from 2026, so scores may shift as the record grows.
- Output, impact, and activity dimensions are marked missing — citation counts, total publication volume, and recent cadence were not available in the snapshot.
- Institution and country are absent from the source data; no affiliation-based claims should be made.
- Hasibur Rahman is a relatively common name; this profile is name-resolved from public bibliographic data linked to ORCID 0009-0008-0938-1504.