Research for grounding "a priori situational awareness" framework into prior literature

[zephirefaith]

• [x] Read Norman's interaction design principles
• [x] Read Norman's seven-stage model of action
• [x] Read Scholtz 2002, where she introduces first three roles
• [x] Re-read Scholtz 2003
• [x] Briefly cover Norman's "design of future things"

[zephirefaith]

Norman (design of everyday things, chapter 1) describes the following artifacts which explain an interaction:

1. Affordance: Relationship between the object and the agent. Depends on the qualities of the object and the intention of the agent.
2. Signifiers: Tell the agent what kind of affordances can be established with the object.
3. Feedback: The closing loop for the affordance action instantiated.
4. Conceptual model: The mental model that the agent has for the object. Need not be complete, just accurate enough to support the affordance.

The above-mentioned terms relate with our A Priori Situational Awareness framework in the following way:

1. Affordance :left_right_arrow: Interaction - Communication interaction that is instantiated between a human-human, human-robot, robot-human pair for coordination.
2. Signifiers :left_right_arrow: Local Dynamics - The dependencies, role-relationships, team-based protocols between the agents help them understand if the communication instantiation is required at all to support coordination
3. Feedback - This in itself can be considered a mode of interaction between an agent pair. This is required to support affordances in-action.
4. Conceptual model :left_right_arrow: A Priori Information of each role Required agent model for each role - The levels of expertise in task, environment, and teamwork agent knowledge are actually guidelines for making sure the prior training of roles is enough to support online conceptual models.

[zephirefaith]

Goodrich and Schultz, 2008:

To this list, we add the following:

• Mentor: the robot is in a teaching or leadership role for the human, and
• Information Consumer: the human does not control the robot, but the human uses information coming from the robot in, for example, a reconnaissance task.