An Embodied AI Approach to Individual Differences: Supporting Self-Efficacy in Diabetic Children with an Autonomous Robot

نویسندگان

  • Matthew Lewis
  • Elettra Oleari
  • Clara Pozzi
  • Lola Cañamero
چکیده

In this paper we discuss how a motivationally autonomous robot, designed using the principles of embodied AI, provides a suitable approach to address individual differences of children interacting with a robot, without having to explicitly modify the system. We do this in the context of two pilot studies using Robin, a robot to support selfconfidence in diabetic children.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Making New "New AI" Friends: Designing a Social Robot for Diabetic Children from an Embodied AI Perspective

Robin is a cognitively and motivationally autonomous affective robot toddler with “robot diabetes” that we have developed to support perceived self-efficacy and emotional wellbeing in children with diabetes. Robin provides children with positive mastery experiences of diabetes management in a playful but realistic and natural interaction context. Underlying the design of Robin is an “Embodied” ...

متن کامل

An Investigation into the Individual Differences Correlates of Iranian Undergraduate EFL Learners’ Writing Competence: A Mixed Methods Approach

The present study adopted a mixed-methods research design and explored the role of a set of cognitive (i.e., aptitude and working memory) and motivational (i.e., self-regulatory capacity and self-efficacy beliefs) individual difference variables in the writing quality and composing behavior of 78 Iranian undergraduate EFL learners. The necessary data were collected through a series of instrumen...

متن کامل

Robosemiotics and embodied enactive cognition

Much research in cognitive science and AI has recently been devoted to the study of adaptive autonomous agents, such as robots and artificial life systems. Such agents are typically said to ‘learn, ‘develop’ and ‘evolve’ in close interaction with their environments. It could be argued that these self-organizing properties solve the problem of representation grounding in AI research, and thus al...

متن کامل

Effective Mechatronic Models and Methods for Implementation an Autonomous Soccer Robot

  Omni directional mobile robots have been popularly employed in several applications especially in soccer player robots considered in Robocup competitions. However, Omni directional navigation system, Omni-vision system and solenoid kicking mechanism in such mobile robots have not ever been combined. This situation brings the idea of a robot with no head direction into existence, a comprehensi...

متن کامل

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015