Differences between remote and analog design thinking through the lens of distributed cognition

Area of Science:

• Human-Computer Interaction
• Organizational Psychology
• Cognitive Science

Background:

• The COVID-19 pandemic accelerated the global shift towards remote work, necessitating adaptations in collaborative methodologies.
• Design Thinking, a robust approach for iterative problem-solving, faces new challenges in facilitating activities remotely.
• Existing literature highlights the need to understand the differences between analog and remote Design Thinking.

Purpose of the Study:

• To analyze the differences between analog and remote Design Thinking practices.
• To apply the Distributed Cognition for Teamwork (DiCoT) framework to remote Design Thinking.
• To provide practical implications for facilitating Design Thinking in both analog and remote environments.

Main Methods:

• Literature analysis comparing analog and remote Design Thinking.
• Application of the Distributed Cognition for Teamwork (DiCoT) framework.
• Discussion of artificial intelligence-based technologies for remote collaboration.

Main Results:

• Remote Design Thinking presents unique challenges and opportunities compared to its analog counterpart.
• The DiCoT framework offers valuable insights into cognitive processes during remote collaborative work.
• Facilitation strategies need adaptation for effective remote Design Thinking.

Conclusions:

• The DiCoT framework provides a lens to understand and improve remote Design Thinking.
• Adapting facilitation techniques is crucial for successful remote collaboration.
• Artificial intelligence holds potential for enhancing future remote Design Thinking practices.