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Social Robots with Gamification Principles to Increase Long-Term User Interaction

Nicole Robinson, Selen Türkay, Leonie Cooper, Daniel Johnson

Year
2019
Citations
18

Abstract

Social robots hold significant promise to help individuals achieve their goals. Most individuals can benefit from a social robot when they interact with it over multiple sessions or a prolonged period. However, this can run well beyond the initial novelty period with a robot, signifying a challenging area for sustainable long-term user interest and engagement. Gamification is a key domain that holds promise to overcome uptake and retention concerns. Grounded in gamification theory in combination with the 'Computers As Social Actors' (CASA) paradigm, this paper presents a set of guidelines for recommended practice on creating and implementing social robot interactions for long-term human-robot interactions.

Keywords

NoveltyRobotTerm (time)Set (abstract data type)Key (lock)Human–computer interactionComputer scienceSocial robotHuman–robot interactionDomain (mathematical analysis)

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