1,721,225 research outputs found
The brain intending action: Linking neural preparation and subjective experience of motor intentions
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214828.pdf (Publisher’s version ) (Open Access)Radboud University, 16 januari 2020Promotor : Desain, P.W.M. Co-promotores : Farquhar, J.D.R., Haselager, W.F.G.224 p
Towards a humane neurotechnology: The impact of neuroscience on the human self-image
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179072.pdf (Publisher’s version ) (Open Access)Radboud University, 20 december 2017Promotor : Bekkering, H. Co-promotor : Haselager, W.F.G.129 p
From beat to BCI: A musical paradigm for,and the ethical aspects of Brain-Computer Interfacing
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133272.pdf (Publisher’s version ) (Open Access)Radboud Universiteit Nijmegen, 09 december 2014Promotor : Desain, P.W.M. Co-promotores : Farquhar, J.D.R., Haselager, W.F.G.127 p
Measuring the mind's ear: EEG of music imagery
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90929.pdf (Publisher’s version ) (Open Access)Radboud Universiteit Nijmegen, 01 september 2011Promotor : Desain, P.W.M. Co-promotores : Farquhar, J.D.R., Haselager, W.F.G.175 p
Representing action and intention
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102847.pdf (Publisher’s version ) (Open Access)Radboud Universiteit Nijmegen, 11 oktober 2012Promotor : Bekkering, H. Co-promotores : Haselager, W.F.G., Rooij, I.J.E.I. van170 p
Understanding understanding: A computational-level perspective
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144897.pdf (Publisher’s version ) (Open Access)Radboud Universiteit Nijmegen, 05 november 2015Promotor : Toni, I. Co-promotores : Rooij, I.J.E.I. van, Haselager, W.F.G., Wareham, H.T.221 p
Designing the robot that says "NO": Design and ethical implications of love and sex relations with robots
No full textThe possibility of love and sex relations between humans and robots
has been put on the scientific map by David Levy. In his doctoral dissertation
Intimate relationships with artificial partners (2007a), he defended
the thesis that such relationships will necessarily happen and will
improve the lives of the humans involved. Technical developments on
emotion and personality simulation and current societal discussions
about the use of sex robots call for, respectively, an updated look at
the design implications for such robots and for a virtue-ethical critique
of Levy’s argument. I develop both in this thesis and do so in
three steps. First, I will critically analyze Levy’s argument and use insights
from the field of philosophy of technology to argue that Levy’s
instrumental view of robots does not correctly capture human–robot
interaction. Second, I will connect Levy’s predictions to current developments
in artificial intelligence and robotics. This step will answer
what the current and near-future possibilities and limitations with
respect to our ability to create androids are. Third, I give an ethical
analysis of Levy’s view on human–robot interaction, based on the
critique I developed in the first part and the updated view on robotics
from the second part. For this analysis I use virtue ethics, which
is specifically suited to pragmatic, situated interactions between humans
and robots. To illustrate how such an ethical analysis helps us
to better understand intimate relations between robots and humans,
I present a potential case study.
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The Effect of a Robot's Gestures on Trust During a Personal Human-Robot Conversation
No full textTrust is an important aspect for the usability and acceptance of robotic
systems, especially for social robots. Trust can a ect the e ectiveness of
an interaction. Chatbot systems exist, which have been shown to reduce
the symptoms of stress and other mental problems among students. How-
ever, these systems are purely chat-based, while gestures are an important
aspect of communication. This research focuses on how a robot's gestures
in
uence how it is perceived, especially how much it is trusted, while hav-
ing a personal conversation. Participants had two conversations with a
robot, one where the robot made gestures and one where it did not. The
results of this study cannot be judged as signi cant, because of the small
number of participants. However, the results suggest that a robot that
makes gestures during a conversation is not only trusted more by most
users, but also rated as more likeable and anthropomorphic. It would be
interesting to do further research on this topic, since there is lots of room
for improvement and the current results seem promising
Big Data and Privacy: Recommendations for organizations to protect the privacy of individuals
No full textIn this thesis the following research question will be answered: ’How, within the context of
current regulations in the EU, could AI techniques help in protecting user’s privacy against
the misuse of Big Data?’ To answer this question, the different stages in the Big Data
process will be explained. Data storage and data security are the vulnerabilities in the
Big Data process with regards to the privacy of individuals. An overview is presented on
the privacy issues that arise with this new technique. Recommendations are given about
anonymizing data with a k-anonymity algorithm, the possibility to store data decentralized,
and better security on data storage in the HDFS. Finally, recommendations are given about
collecting data, taking in account the Data Protection Directive of the European Parliament
of 24 October 1995
Can Robots Gain Appreciation by Mimicking Moral Values?
No full textIf a robot imitates the moral values of the person it is interacting with, can it in
uence the way it is perceived
by that person? This thesis attempts to answer that question in terms of trust in the robot, and likability and
perceived intelligence of the robot. To get a concrete reading of a person's morality, the Moral Foundations
Theory is used. The Moral Foundations Theory identi es several pillars in moral judgment: care/harm,
fairness/cheating, loyalty/betrayal, authority/subversion and sactity/degradation. This thesis will limit its
scope to the loyalty/betrayal foundation (Also called Ingroup). An experiment was done in which participants
were asked to complete a survey to ascertain their reliance on the Ingroup foundation. They were then asked
to talk to a Nao robot, which described a scenario, and followed up by making a decision to help or betray
its ingroup, depending on the experimental condition. Afterwards the participants evaluated the robot on
trust, likability, and perceived intelligence. No signi cant results were found but some interesting suggestions
could be made to improve similar research in the future
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