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MRI Brain

NeuroEngage (ds004996)

NeuroEngage: A Multimodal Dataset Integrating fMRI for Analyzing Conversational Engagement in Human-Human and Human-Robot Interactions

Task fMRI and structural brain MRI of healthy adults holding free spoken conversations with a human or a teleoperated robot, collected to study how the partner's level of engagement shapes brain activity and speech. Includes eye tracking, audio and video.

Overview

NeuroEngage records brain activity during unscripted spoken conversation. Healthy Swedish speakers lay in an MRI scanner and talked for ten minutes at a time with a partner shown on a screen. Half of the design paired them with a human confederate, the other half with a robot whose face and voice were driven by the same confederate through a virtual reality telepresence interface. Across the three conversations the partner behaved at three planned levels of engagement (engaged communicator, active listener, passive listener), and each conversation was about an ethical dilemma. The study came from KTH Royal Institute of Technology and Stockholm University and was presented at the ACM/IEEE Human-Robot Interaction conference in 2025. Structural scans went online on OpenNeuro as ds004996 in February 2024; version 2.0.0 of February 2025 added the functional and behavioral data.

Composition

The release has 50 participants: 30 in the human partner group and 20 in the robot partner group, 25 women and 25 men, all right-handed. The participants file lists ages from 19 to 39 with a mean of 26.4. Every participant has one T1-weighted scan and three functional runs, one per engagement level. The source data folder adds eye tracking, raw and denoised audio of both speakers, speech timestamps and video of the partner. The paper reports that six recruited participants were dropped for technical problems or language and replaced.

Acquisition

Scans were acquired at the Stockholm University Brain Imaging Centre on a 3 T Siemens Prisma with a 20-channel head and neck coil. The T1-weighted scan is an MPRAGE with 1.2 mm voxels. Functional runs use multiband echo planar imaging with a repetition time of 1.2 s and 2.5 mm slices, and each run lasts 11 min 45 s including fixation periods. Anatomical images were defaced.

Annotations

Each run has an events file with the conversation timing, and the participants file gives the engagement level of each run. There are no image labels.

Known limitations

Run 3 of sub-16 holds only three minutes of conversation, and eye tracking is missing for ten participants. The README says preprocessed data and questionnaire results are still to be uploaded. Subject numbers have gaps because five excluded participants were removed.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 50 subjects.

Age

mean 26.4, median 26, range 19 to 39

0
10
20
30
38
10-1920-2930-39

age in participants.tsv of ds004996 (CC0), columns sex, age and group

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wboldSubjects with exactly this set
50

From BIDS file tree and JSON sidecars of ds004996 snapshot 2.0.0 (CC0), NIfTI files under sub-*/ counted per suffix

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Open download

Download without an account

Access page

Creative Commons Zero 1.0 Universal

Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.

dataset_description.json of snapshot 2.0.0 states "License" CC0.

Original license text Version read: 1.0 Checked 2026-10-07

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

What you can share

  • Yes
  • Yes
  • Yes

What you must do

  • No
  • Share alike No
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Torubarova E, Arvidsson C, Berrebi J, Uddén J, Pereira A. NeuroEngage: A Multimodal Dataset Integrating fMRI for Analyzing Conversational Engagement in Human-Human and Human-Robot Interactions. Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 849-858 (2025). doi:10.1109/HRI61500.2025.10974251

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.