Evidence map›Paper›PMID 39135737›Full record

ArticleFrontiers in robotics and AI2024

Child-centered home service design for a family robot companion.

Hyo Jeong Lym, Hyo In Son, Da-Young Kim, Juhyun Kim, Min-Gyu Kim, Jae Hee Chung

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hyo Jeong Lym *Human-Robot Interaction Center, Korea Institute of Robotics and Technology Convergence, Pohang, Republic of Korea.
Hyo In Son *Industrial Design Major, Graduate School of Design, University of Hongik, Seoul, Republic of Korea.
Da-Young KimHuman-Robot Interaction Center, Korea Institute of Robotics and Technology Convergence, Pohang, Republic of Korea.
Juhyun KimHuman-Robot Interaction Center, Korea Institute of Robotics and Technology Convergence, Pohang, Republic of Korea.
Min-Gyu KimHuman-Robot Interaction Center, Korea Institute of Robotics and Technology Convergence, Pohang, Republic of Korea.
Jae Hee ChungService Design Major, Graduate School of Industrial Arts, University of Hongik, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The home robot-based child activity service aims to cultivate children's social emotions. A design theme was produced by interviewing child development experts and parents. The activity service is composed of 50 plays and 70 conversations. These were developed based on activities from psychomotor therapy and the guidelines of Ministry of Early Childhood Education in South Korea. In the field test, 50 children aged five-seven years participated to experience the activity services at home for 4 days. After completing the 4 days of field testing, we conducted customer satisfaction (CSAT) surveys, Godspeed evaluations and interviews to quantitatively and qualitatively verify the evaluations by the children and parents. As a result, 92% of the children and 80% of the parents evaluated that they were satisfied with the service. In addition, our results revealed that the social robot-based service contributed to improving the relationship between children and families by functioning as a messenger. Finally, the lessons learned from the service development and field tests were discussed to aid service designers and robotics engineers.

Indexed as

childcarechild-robot interactionhuman-robot interactioninteraction designservice designsocial robot

Identifiers

PMID39135737
PMCPMC11317423

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.