Interaction Studies

Aims & Scope

This international, peer-reviewed journal aims to advance knowledge in the growing and strongly interdisciplinary area of Interaction Studies in biological and artificial systems.

Understanding social behaviour and communication in biological and artificial systems requires knowledge of evolutionary, developmental and neurobiological aspects of social behaviour and communication; the embodied nature of interactions; origins and characteristics of social and narrative intelligence; perception, action and communication in the context of dynamic and social environments; social learning, adaptation and imitation; social behaviour in human-machine interactions; the nature of empathic understanding, behaviour and intention reading; minimal requirements and systems exhibiting social behaviour; the role of cultural factors in shaping social behaviour and communication in biological or artificial societies.

The journal welcomes contributions that analyze social behaviour in humans and other animals as well as research into the design and synthesis of robotic, software, virtual and other artificial systems, including applications such as exploiting human-machine interactions for educational or therapeutic purposes.

Fields of interest comprise evolutionary biology, artificial intelligence, artificial life, robotics, psychology, cognitive neuroscience, computational neuroscience, cognitive modeling, ethology, social and biological anthropology, palaeontology, animal behaviour, linguistics.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	1.2
2024	0.90

Journal Rank

Year	Value
2024	19370

Journal Citation Indicator

Year	Value
2024	72

SJR (SCImago Journal Rank)

Year	Value
2024	0.233

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	45

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, Computer Science and Social Sciences, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The uncanny advantage of using androids in cognitive and social science research

  Citation: 469

  Authors: Karl F., Hiroshi

• Measurement of negative attitudes toward robots

  Citation: 348

  Authors: Tatsuya, Tomohiro, Takayuki, Kensuke

• Children with autism social engagement in interaction with Nao, an imitative robot

  Citation: 237

  Authors: Adriana, Andreea, Amir, Cristina, Lavinia, Sebastian, Alina S., Daniel O.

• Can robots be teammates?

  Citation: 225

  Authors: Victoria, Clifford

• Robot-mediated joint attention in children with autism

  Citation: 204

  Authors: Ben, Paul, Penny, Kerstin

• Does appearance matter in the interaction of children with autism with a humanoid robot?

  Citation: 191

  Authors: Ben, Kerstin, Janek

• The crying shame of robot nannies

  Citation: 174

  Authors: Noel, Amanda

• The social construction of the cultural mind

  Citation: 172

  Authors: György, Gergely

• Authenticity in the age of digital companions

  Citation: 156

  Authors: Sherry

• Using the social robot probo as a social story telling agent for children with ASD

  Citation: 154

  Authors: Bram, Ramona, Jelle, Cristina, Alina S., Sebastian, Dirk, Daniel O.

---