Designing for Common Ground: Visually Representing Conversation Dynamics of Neurodiverse Dyads
During interpersonal interactions, conversational moves can help people establish common ground—a shared frame of reference to support communication. Neurodiverse conversation dyads that include autistic and non-autistic members can experience challenges in creating and maintaining such a shared frame of reference due to differing communication and cognitive styles. We conducted a design study to understand conversational patterns among neurodiverse dyads and then used those patterns to co-design concepts for supporting the creation and maintenance of common ground by those conversation pairs. Our study involved two activities with participants: (1) a paired interview with autistic adults and a trusted conversation partner that used a novel swimlane visual elicitation activity, and (2) a remote design study during which the autistic participants designed a game intended to visualize and support neurodiverse conversation dynamics. We found that communication technology can scaffold neurodiverse dyads in locating common ground by supporting crucial individual and joint decision-making; clarification of language and emotions; and embodied sense-making of identity, relationships, and shared information. This project generated insights related to two distinct aspects of designing assistive Information and Communication Technology (ICT) to support autistic individuals: (1) the ability for visual elicitation activities to help autistic individuals recognize interaction patterns, gain a deeper understanding of other's perspectives, and imagine more desirable alternatives, and (2) the importance of recognizing and supporting multi-dimensional aspects of communication practices (i.e., social, emotional, sensory) in establishing and maintaining shared points of reference for neurodiverse conversation dyads.
Research Questions / Practical Problems
Question signals indexed for this paper.
No related papers with ≥60% similarity
Based on Jaccard similarity of research subtopics & professions (≥60%)