@mastersthesis {pub4699,
	title = {User Experience in Interactive Object Learning: Pleasurable Teaching Practices with Learning Robots},
	author = {Tuan Vu Pham},
	year = {2021},
	abstract = {While the training of learning robot systems has been implemented for various purposes 
and with desirable results, little emphasis has been put on motivational and experiential 
aspects of the human teacher. Without establishing pleasurable and engaging teaching 
practices, the training of an intelligent agent remains a tedious task that humans may only 
perform voluntarily for short periods. The main goal of this thesis is therefore to explore 
and identify meaningful teaching practices that turn the activity into a pleasurable pursuit 
for the human. Inspired by positive moments gathered from semi-structured interviews 
with educators, sports coaches and animal trainers, we created joyful interaction concepts 
for  a  teachable  object  learning  robot.  Subsequently,  an  online  video  vignette  study 
(N=184) was conducted to verify changes in user perception and motivation between the 
seven newly devised interaction concepts and the one used so far. The survey outcome 
suggests that teaching experiences enriched with elements translated from existing prac-
tices between humans do encourage more extensive engagement with the learning robot. 
Increases in positive user experience, perceived desired learner personality traits and al-
terity  suggest  that  plausible  teaching  interactions  and  frame  stories  allow  the  human 
teacher to better enjoy and engage with the previously unusual and artificial activity of 
teaching objects to a robot {\textendash} e.g., by witnessing the robot seemingly putting in effort and 
intent to learn. },
	publisher = {University of Siegen},
	booktitle = {University of Siegen}
}