Cognition, Technology and Work

Aims & Scope

Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions.

The aim is to publish research that normally resides on the borderline between people, technology, and organisations.

Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors.

The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective.

The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants.

Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	3.4
2024	2.40

SJR (SCImago Journal Rank)

Year	Value
2024	0.869

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	55

Journal Rank

Year	Value
2024	6008

Journal Citation Indicator

Year	Value
2024	561

---

---

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 Arts and Humanities and Computer Science, 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.

• Haptic shared control: smoothly shifting control authority?

  Citation: 434

  Authors: David A., Mark, Erwin R.

• Extending the Technology Acceptance Model to assess automation

  Citation: 394

  Authors: Mahtab, John D., Linda Ng

• Towards a dynamic balance between humans and automation: authority, ability, responsibility and control in shared and cooperative control situations

  Citation: 255

  Authors: Frank, Matthias, Tobias, Johann, Anna, Johannes

• MABA-MABA or Abracadabra? Progress on Human-Automation Co-ordination

  Citation: 249

  Authors: S. W. A., D. D.

• Validating the Fun Toolkit: an instrument for measuring children’s opinions of technology

  Citation: 222

  Authors: Janet C.

• How can humans understand their automated cars? HMI principles, problems and solutions

  Citation: 211

  Authors: Oliver, Marieke H.

• Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectations

  Citation: 210

  Authors: Anna, Marc, Carmen, Ruth, Tyron, Natasha

• Emotion recognition from physiological signals using wireless sensors for presence technologies

  Citation: 208

  Authors: Fatma, Kaye, Christine L., Neal

• The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications

  Citation: 189

  Authors: Natasha, Bobbie, Tyron, Johan, John D., Emma, Charles A., Satoshi, Chris, Makoto, Daniel, Takashi, Kiyozumi, Trent, Anna, Andreas

• Rating non-technical skills: developing a behavioural marker system for use in anaesthesia

  Citation: 154

  Authors: G., R., P., R., N., R.

---