A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics Environments

Guidance has been proposed as a conceptual framework to understand how mixed-initiative visual analytics approaches can actively support users they solve analytical tasks. While user tasks received fair share of attention, it is still not completely clear could be supported with guidance and such influence the progress task itself. Our observation that there research gap in understanding effect on discourse, particular, for knowledge generation approaches. As consequence, environment usually indistinguishable from common visualization features, making responses challenging predict measure. To address these issues, we take system perspective propose notion present typology closely aligned established typologies. We derived directly model process illustrate its implications design. By discussing three case studies, show our applied analyze existing systems. argue without consideration perspective, analysis incomplete. Finally, by analyzing matchings tasks, describe either help conclude or change course.