Table 4.
Antecedents of human-AI teaming.
| Category | Antecedent | No of sources | Sources | Cluster(s) |
|---|---|---|---|---|
| Human | Individual human variables | 3 | O'Neill et al., 2022; Othman and Yang, 2022; Xiong et al., 2023 | 1, 4 |
| Digital affinity, including Aversion to AI | 2 | Saßmannshausen et al., 2021; Jain et al., 2022 | 1, 2 | |
| Psychophysiological state | 2 | Galin and Meshcheryakov, 2021; Mukherjee et al., 2022 | 4 | |
| Control | 1 | Vössing et al., 2022 | 1 | |
| Mental model of situation | 1 | Endsley, 2023 | 1 | |
| Perception of human | / | 0 | ||
| AI | Explainability of AI, including Local and global explanations Visualizations/guidance Explanation and information about decision uncertainty Transparency | 10 | Fan et al., 2022; Kridalukmana et al., 2022; Lai et al., 2022; O'Neill et al., 2022; Rastogi et al., 2022; Tabrez et al., 2022; Vössing et al., 2022; Chandel and Sharma, 2023; Endsley, 2023; Naiseh et al., 2023 | 1, 2, 3, 5 |
| Design Minding human cognitive skills and limitations Organization-specific adaptation | 3 | Jain et al., 2021; Jiang et al., 2022; Vössing et al., 2022 | 1, 2 | |
| Difficulty of programming | 1 | Galin and Meshcheryakov, 2021 | 4 | |
| LOA/AI autonomy Partial vs. full Restrictions in autonomy Proactivity of AI | 4 | Kraus et al., 2021; Mukherjee et al., 2022; O'Neill et al., 2022; Hauptman et al., 2023 | 1, 4, 5 | |
| Dynamics AI adaptivity AI adaptability | 3 | Galin and Meshcheryakov, 2021; Mukherjee et al., 2022; Hauptman et al., 2023 | 1, 4 | |
| AI performance, including Good vs. bad performance Failures Changes in performance Reliability | 3 | Demir et al., 2021; O'Neill et al., 2022; Chong et al., 2023 | 1, 5 | |
| Guaranteed safety of the AI | 1 | Galin and Meshcheryakov, 2021 | 4 | |
| Openness to human scrutiny | 1 | Chandel and Sharma, 2023 | 2 | |
| Conformability of the AI | 1 | Galin and Meshcheryakov, 2021 | 4 | |
| Perception of AI | Predictability of AI actions | 3 | Aliev and Antonelli, 2021; Mukherjee et al., 2022; Hauptman et al., 2023 | 1, 4 |
| Perceived AI comprehensibility | 1 | Saßmannshausen et al., 2021 | 1 | |
| (Bidirectional) trust, including trusting behavior | 4 | Saßmannshausen et al., 2021; Mukherjee et al., 2022; Semeraro et al., 2022; Vössing et al., 2022 | 1, 4 | |
| Perceived AI ability | 1 | Saßmannshausen et al., 2021 | 1 | |
| Team | Team interaction, including Communication | 5 | Castro et al., 2021; Demir et al., 2021; Mukherjee et al., 2022; O'Neill et al., 2022; Othman and Yang, 2022 | 1, 4, 5 |
| Interdependence between human and AI | 1 | Li et al., 2022 | 2 | |
| Human-robot roles | 1 | Othman and Yang, 2022 | 4 | |
| Collaboration mode Sequential or parallel task, with or without specialization, AI or human first | 1 | Jain et al., 2022 | 2 | |
| Team composition (members) | 1 | O'Neill et al., 2022 | 1 | |
| Team experience level | 1 | Hauptman et al., 2023 | 1 | |
| Shared mental models | Castro et al., 2021; Mukherjee et al., 2022 | 4 | ||
| Situation awareness (SA) Shared SA Human SA of AI state AI SA on state of human | 1 | Endsley, 2023 | 1 | |
| Perception of team | / | 0 | ||
| Task | Task characteristics | 2 | Mukherjee et al., 2022; O'Neill et al., 2022 | 1, 4 |
| Work phase | 1 | Hauptman et al., 2023 | 1 | |
| Goal orientation (task) | 1 | Li et al., 2022 | 2 | |
| Time for decision making | 1 | Rastogi et al., 2022 | 3 | |
| Perception of task | Ease of critical information transferring | 1 | Othman and Yang, 2022 | 4 |
| Context | Effects of the (joint) decision Probability of significant and irreversible changes | 1 | Hauptman et al., 2023 | 1 |
| Training/learning, including Time needed or used for acceptance and understanding of AI | 3 | Castro et al., 2021; O'Neill et al., 2022; Hauptman et al., 2023 | 1, 4 | |
| Type of workspace | 1 | Mukherjee et al., 2022 | 4 |