2025/12/08 by Jalaeian, Mohammadreza, Morey, Dane A., Rayo, Michael F.
Computer Science · Decision Sciences · Psychology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Human-Automation Interaction and Safety #Human-Computer Interaction (cs.HC) #Personal Information Management and User Behavior #Systems and Control (eess.SY) #Usability and User Interface Design #electronic engineering #information engineering
paper · doi:10.48550/arxiv.2512.08036
openalex publication_date 2025/12/08 · openalex created_date 2025/12/11 · openalex updated_date 2026/07/28
Joint activity describes when more than one agent (human or machine) contributes to the completion of a task or activity. Designing for joint activity focuses on explicitly supporting the interdependencies between agents necessary for effective coordination among agents engaged in the joint activity. This builds and expands upon designing for usability to further address how technologies can be designed to act as effective team players. Effective joint activity requires supporting, at minimum, five primary macrocognitive functions within teams: Event Detection, Sensemaking, Adaptability, Perspective-Shifting, and Coordination. Supporting these functions is equally as important as making technologies usable. We synthesized fourteen heuristics from relevant literature including display design, human factors, cognitive systems engineering, cognitive psychology, and computer science to aid the design, development, and evaluation of technologies that support joint human-machine activity.