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Julia Fink

dblp:64/10496 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 3 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 87% Usability and user experience research · 6% Design research and methods · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
anthropomorphism
0.212014
The dynamics of anthropomorphism in robotics · HRI 2014
Human-robot interaction
child-robot interaction
0.212014
Which robot behavior can motivate children to tidy up their toys?: design and evaluation of "ranger" · HRI 2014
Human-robot interaction › robot design
robot behavior design
0.212014
Which robot behavior can motivate children to tidy up their toys?: design and evaluation of "ranger" · HRI 2014
Human-robot interaction
social robot
0.212014
Which robot behavior can motivate children to tidy up their toys?: design and evaluation of "ranger" · HRI 2014
Usability and user experience research
user study
0.112014
Which robot behavior can motivate children to tidy up their toys?: design and evaluation of "ranger" · HRI 2014
Design research and methods › research methodology
wizard of oz prototyping
0.112014
Which robot behavior can motivate children to tidy up their toys?: design and evaluation of "ranger" · HRI 2014

Methods — techniques the papers use, named apart from their topics

wizard-of-oz · 0.2video analysis · 0.2
YearPublicationVenuePosition
2014 Which robot behavior can motivate children to tidy up their toys?: design and evaluation of "ranger"
abstract
We present the design approach and evaluation of our prototype called "Ranger". Ranger is a robotic toy box that aims to motivate young children to tidy up their room. We evaluated Ranger in 14 families with 31 children (2-10 years) using the Wizard-of-Oz technique. This case study explores two different robot behaviors (proactive vs. reactive) and their impact on children's interaction with the robot and the tidying behavior. The analysis of the video recorded scenarios shows that the proactive robot tended to encourage more playful and explorative behavior in children, whereas the reactive robot triggered more tidying behavior. Our findings hold implications for the design of interactive robots for children, and may also serve as an example of evaluating an early version of a prototype in a real-world setting.
Julia Fink, Séverin Lemaignan, Pierre Dillenbourg, Philippe Rétornaz, Florian Vaussard, Alain Berthoud, Francesco Mondada, Florian Wille, Karmen Franinovic
HRI1
2014 The dynamics of anthropomorphism in robotics
abstract
No abstract available.
Séverin Lemaignan, Julia Fink, Pierre Dillenbourg
HRI2
2012 Design and evaluation of a graphical iPad application for arranging adaptive furniture
abstract
We present the design and evaluation of an iPad application that will be used to operate the modular robots “Roombots”. Roombots are the building blocks for adaptive pieces of furniture. The application allows a user to arrange adaptive furniture within a room. We conducted a user study with 24 participants to evaluate our approach and to freely explore people's interaction. Data suggests that the ability to move with the tablet leads to a better precision of the furniture arrangement. No significant difference has been observed between using the application through a virtual representation of the room in contrast to an augmented reality environment, even if participants mentioned in a post-study questionnaire their preference for the augmented condition. Users described the interface as intuitive and easy to use.
Stéphane Bonardi, Jeremy Blatter, Julia Fink, Rico Moeckel, Patrick Jermann, Pierre Dillenbourg, Auke Jan Ijspeert
RO-MAN3