Social Robots with Gamification Principles to Increase Long-Term User Interaction
Nicole Robinson, Selen Türkay, Leonie Cooper, Daniel Johnson
- 发表年份
- 2019
- 引用次数
- 18
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002