Autonomous driving paper index
The Materialization Of Team Agency In The Human-Gai Innovation Process: An Affordance Perspective
One-line summary
While generative artificial intelligence (GAI) is increasingly used in the team innovation process, it remains unclear when, why, and how teams come to incorporate it into collective work.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
While generative artificial intelligence (GAI) is increasingly used in the team innovation process, it remains unclear when, why, and how teams come to incorporate it into collective work. We integrate affordance theory with team agency, which we conceptualize as members’ reasoning that forms collective intentions to pursue shared objectives with technologies such as GAI. We conducted focus group interviews with 83 participants from 18 innovation sprint teams that used GAI. Our findings reveal three materializations of team agency: (1) execution, (2) integration, and (3) reorientation. These become actionable through three corresponding affordances: (1) refinement, (2) synthetization, and (3) stimulation. This study contributes by explaining how GAI reshapes the team innovation process through materializations of team agency and affordances at the intersection of teams, GAI, and institutional contexts. Based on our findings, we provide practical guidance for teams using GAI to elaborate promising concepts, consolidate heterogeneous inputs, and encourage problem exploration.
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