Evidence map›Paper›PMID 38067743›Full record

ReviewSensors (Basel, Switzerland)2023

Research Hotspots and Trends of Social Robot Interaction Design: A Bibliometric Analysis.

Jianmin Wang, Yongkang Chen, Siguang Huo, Liya Mai, Fusheng Jia

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

5 authors.

Jianmin WangCollege of Arts and Media, Tongji University, Shanghai 201804, China.
Yongkang ChenCollege of Design and Innovation, Tongji University, Shanghai 200092, China.
Siguang HuoCollege of Design and Innovation, Tongji University, Shanghai 200092, China.
Liya MaiCollege of Design and Innovation, Tongji University, Shanghai 200092, China.
Fusheng JiaCollege of Design and Innovation, Tongji University, Shanghai 200092, China.

Funding

Shenzhen Science and Technology Program GJHZ20220913142401002the Fundamental Research Funds for the Central Universitiesthe High-Level Foreign Expert Project G2022133031L, G2023133041L
6 · The paper itself

Abstract

(1) Background: Social robot interaction design is crucial for determining user acceptance and experience. However, few studies have systematically discussed the current focus and future research directions of social robot interaction design from a bibliometric perspective. Therefore, we conducted this study in order to identify the latest research progress and evolution trajectory of research hotspots in social robot interaction design over the last decade. (2) Methods: We conducted a comprehensive review based on 2416 papers related to social robot interaction design obtained from the Web of Science (WOS) database. Our review utilized bibliometric techniques and integrated VOSviewer and CiteSpace to construct a knowledge map. (3) Conclusions: The current research hotspots of social robot interaction design mainly focus on #1 the study of human-robot relationships in social robots, #2 research on the emotional design of social robots, #3 research on social robots for children's psychotherapy, #4 research on companion robots for elderly rehabilitation, and #5 research on educational social robots. The reference co-citation analysis identifies the classic literature that forms the basis of the current research, which provides theoretical guidance and methods for the current research. Finally, we discuss several future research directions and challenges in this field.

Indexed as

RoboticsAgedBibliometricsChildDatabases, FactualEmotionsHumansSocial InteractionbibliometricCitespaceinteraction designsocial robotVOSviewer

Identifiers

PMID38067743
PMCPMC10708843

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.