Short answer
Design AI collaborators to foster a sense of social presence, as this is key to building trust, commitment, and ultimately, human motivation to contribute effectively in hybrid teams.
- Field
- Innovation & Design
- Source
- Journal of Management Studies (2025)
- Method
- Empirical studies
- Evidence
- Strong effect
Increasing the perceived social presence of AI collaborators can foster greater team-oriented commitment and willingness to depend on AI, thereby boosting human motivation to contribute. This innovation & design research insight is drawn from a 2025 study published in Journal of Management Studies. Using Empirical studies, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design AI collaborators to foster a sense of social presence, as this is key to building trust, commitment, and ultimately, human motivation to contribute effectively in hybrid teams.
Social Presence in Human-AI Teams Enhances Collaboration and Motivation
Increasing the perceived social presence of AI collaborators can foster greater team-oriented commitment and willingness to depend on AI, thereby boosting human motivation to contribute.
Journal of Management Studies · 2025
Key Findings
- 01Social presence has a direct association with motivation to contribute.
- 02Social presence indirectly influences motivation through team-oriented commitment and willingness to depend on teammates.
- 03Greater AI familiarity and understandability strengthen the relationship between social presence and behavioral intentions.
Application
Design takeaway
Design AI collaborators to foster a sense of social presence, as this is key to building trust, commitment, and ultimately, human motivation to contribute effectively in hybrid teams.
How to apply
When designing collaborative AI tools, prioritize interaction design elements that promote a sense of social connection and mutual understanding, rather than solely focusing on task efficiency or human-like appearance.
Project actions
- 01Consider how your design can communicate a sense of 'presence' for the AI.
- 02Think about how users will build trust and commitment with the AI system.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Empirical basis with multiple studies.
- +Theoretical grounding in social presence theory and theory of planned behavior.
Limitations
The effectiveness of social presence cues might vary greatly depending on the user's prior experience with AI and their cultural background.
Reliability & validity
The use of multiple studies and established theories likely enhances the reliability and validity of the findings. However, the specific measures used for social presence and the other variables would need to be examined for their psychometric properties.
Think critically
To what extent can the concept of 'social presence' be applied to non-interactive AI systems, and what are the ethical considerations of designing AI to evoke social connection?
Design Principles
"Design for perceived social presence to enhance human-AI collaboration and engagement."
As AI becomes more integrated into collaborative workflows, understanding how to design these interactions for optimal human engagement is crucial. This research suggests that focusing solely on anthropomorphic features might be less effective than cultivating a sense of social presence, which influences deeper psychological factors like trust and commitment.
What This Means for Your Design
Making AI feel more like a teammate, rather than just a tool, can make people more motivated to work with it and trust it.
How to use in your project
- 1.Reference this study when discussing the psychological impact of AI on user behaviour and collaboration in your design project.
Add to My Project
Quick Cite
Paragraph starter
Research by Siemon et al. (2025) highlights that the perceived social presence of AI collaborators is a critical factor in human-AI teamwork, directly influencing motivation to contribute and indirectly fostering team-oriented commitment and willingness to depend on AI. This suggests that design efforts should focus on cultivating a sense of partnership and mutual reliance, rather than solely on anthropomorphic qualities, to optimize collaborative outcomes.
Source
Journal of Management Studies
Beyond Anthropomorphism: Social Presence in Human– <scp>AI</scp> Collaboration Processes
journal · 2025
View sourceQuestions About This Research
- What does the research say about social presence in human-ai teams enhances collaboration and motivation?
- Design AI collaborators to foster a sense of social presence, as this is key to building trust, commitment, and ultimately, human motivation to contribute effectively in hybrid teams. Evidence: Journal of Management Studies (2025).
- Why does "Social Presence in Human-AI Teams Enhances Collaboration and Motivation" matter for design?
- As AI becomes more integrated into collaborative workflows, understanding how to design these interactions for optimal human engagement is crucial. This research suggests that focusing solely on anthropomorphic features might be less effective than cultivating a sense of social presence, which influences deeper psychological factors like trust and commitment.
- How can designers apply this research?
- Design AI collaborators to foster a sense of social presence, as this is key to building trust, commitment, and ultimately, human motivation to contribute effectively in hybrid teams.
- What were the main findings?
- Social presence has a direct association with motivation to contribute.. Social presence indirectly influences motivation through team-oriented commitment and willingness to depend on teammates.. Greater AI familiarity and understandability strengthen the relationship between social presence and behavioral intentions.
- What research method was used?
- Empirical studies.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Journal of Management Studies.
- What should I do differently in my next project?
- When designing collaborative AI tools, prioritize interaction design elements that promote a sense of social connection and mutual understanding, rather than solely focusing on task efficiency or human-like appearance.
- What are the limitations?
- The study's findings might be influenced by the specific AI tasks and the novelty of human-AI collaboration in the tested contexts. The extent to which these findings generalize to different types of AI or more established human-AI teams requires further investigation.