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Co-designing Socially Assistive Sidekicks for Motion-based AAC

Stephanie Valencia, Michal Luria, Amy Pavel, Jeffrey P. Bigham, Henny Admoni

Year
2021
Citations
35
Access
Open access

Abstract

Augmentative and alternative communication (AAC) devices enable speech-based communication. However, AAC devices do not support nonverbal communication, which allows people to take turns, regulate conversation dynamics, and express intentions. Nonverbal communication requires motion, which is often challenging for AAC users to produce due to motor constraints. In this work, we explore how socially assistive robots, framed as ''sidekicks,'' might provide augmented communicators (ACs) with a nonverbal channel of communication to support their conversational goals. We developed and conducted an accessible co-design workshop that involved two ACs, their caregivers, and three motion experts. We identified goals for conversational support, co-designed prototypes depicting possible sidekick forms, and enacted different sidekick motions and behaviors to achieve speakers' goals. We contribute guidelines for designing sidekicks that support ACs according to three key parameters: attention, precision, and timing. We show how these parameters manifest in appearance and behavior and how they can guide future designs for augmented nonverbal communication.

Keywords

Nonverbal communicationConversationHuman–computer interactionMotion (physics)Augmentative and alternative communicationComputer scienceGestureEmbodied cognitionRobotAugmentative

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