Mentor selection HTI master program 2013-2014. Mentor system Helps you get through the HTI program...
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Mentor selection HTI master program 2013-2014. Mentor system Helps you get through the HTI program Mentor helps in specialization of the student – Selection
Mentor system Helps you get through the HTI program Mentor
helps in specialization of the student Selection of domain courses
Selection of international semester Preparation of Master Thesis
Project (MTP) Mentor might be your thesis supervisor But this is
not definite or required
Slide 3
What the mentor does The task of the mentor is to: assist the
student in selecting electives (domain courses) assist the student
in organization and preparation of the international semester
assist the student with developing a thesis topic, and choosing the
first supervisor monitor students progress in the master
program
Slide 4
Choosing a mentor Select potential mentors based on your
interests and background Check the education website:
http://onderwijs.ieis.tue.nl/msc/hti/mentors
http://onderwijs.ieis.tue.nl/msc/hti/mentors
http://onderwijs.ieis.tue.nl/other/is/master-
hti/1/2012/mentor-system-hti
http://onderwijs.ieis.tue.nl/other/is/master-
hti/1/2012/mentor-system-hti This offers a description of the
interests of the mentors and links to previous thesis projects
Check the HTI group website http://hti.ieis.tue.nl/
http://hti.ieis.tue.nl/ This offers descriptions of research
programs, papers and other information on the research within
HTI
Slide 5
Mentor choice At the end of this week, report your choice to
the MA-HTI coordinator (Jaap Ham) Report your 1 st, 2 nd and 3 rd
preference for a mentor Mentor assignment will be based on your
preferences as much as possible If you do not provide a preference
you will be allotted a mentor by the coordinator
Slide 6
Initial meeting with mentor Preferably in the 2 nd week Get to
know each other Discuss the students program Make a preliminary
list of courses
Slide 7
Schedule for mentor meetings SemesterWeekAction 1.11/2
Introductory meeting between the student and mentor, initial draft
of the domain courses. 2/3Finalizing the list of domain courses.
1.21Preparing for the international semester. Final weeks Final
preparation of international semester, including final selection of
international courses. First preparation of the masters thesis
project (MTP) including deciding on a potential first supervisor.
This could be the mentor, but a student might also decide to do his
MTP in another group / with another mentor. 2.1Final weeks After
returning from the international semester, the student reports on
the international semester and the courses taken. A final decision
on the MTP project and the first supervisor will be made. 2.2Master
Thesis Project
Slide 8
Precautions Start following lectures for interesting domain
courses right away! The selection of courses is your responsibility
Your mentor is just your guide / soundboard Be proactive in making
appointments and tracking your study progress
Slide 9
Raymond Cuijpers Research Domain: Applied Physics, Visual
Perception, Human Motor control, some Neurophsysiology, Computer
vision and Robotics Interests: How does the brain process
information? How does intelligence come about? How can artificial
systems be improved using insights from psychology and vice versa?
Examples Socially interacting artificial agents Tele-operation,
tele-care and tele-surgery Population coding, neural fields and
Bayesian statistics
Slide 10
Paul de Greef information processing psychologist who turned to
AI and returned to applied psychology to solve applicational
problems Interests: vision, visual interaction and video
communication Example: video communication with eye contact
Slide 11
Antal Haans Domain: environmental psychology and Methods Focus
on technological environments, including intelligent street
lighting systems, but also virtual reality and advanced media
environments. Interests: street lighting and its effects of safety
perceptions experience of telepresence; or the experience of being
there in a virtual or mediated environment privacy regulation
interpersonal physical contact over a distance (i.e., mediated
social touch)
Slide 12
Jaap Ham Research domain: social-cognitive characteristics of
human-technology interaction fundamental (theory driven) and an
applied (problem driven) Interests: Persuasive Technology
Persuasive robotics Ambient Persuasive TechnologyUnconscious
Influences from the Environment
Slide 13
Dik Hermes background in biophysics main interest is sound
perception in all its appearances, from the mechanical generation
of acoustic waves to experiencing the world of synthetic
soundscapes Other areas in which I have coached students are
perception in general, pitch perception, speech intonation,
multimodal interaction, and speech technology
Slide 14
Armin Kohlrausch Auditory perception and modeling, audio-visual
perception, sound impact on humans His main scientific interest is
the experimental study and modeling of auditory and multisensory
perception in humans and the transfer of this knowledge to
industrial applications. music perception and analysis perceived
boundaries music similarity perception algorithms for the automatic
analysis of music Armin has a part-time appointment, default day at
TU/e is Tuesday
Slide 15
Yvonne de Kort Domain: environmental psychology &
psychology of light My research focuses most on social interaction,
well-being and health of people in virtual, mediated, or
technology-augmented spaces. Examples restorative effects of
mediated environments effects of lighting on people's health and
wellbeing situated social interaction in and around digital games
locatedness in mediated social interaction
Slide 16
Daniel Lakens Applied Cognitive Psychology Can we determine the
emotional state of a person from his or her heart rate, measured
with a normal webcam, based on the redness of the skin? How can we
people to keep the meaning of function of buttons apart, by placing
them apart in space. How do people associate concrete concepts
(color, sound, weight, etc.) with abstract concepts (valence,
importance, etc)?
Slide 17
Uwe Matzat Sociologist interested in field & experimental
research My research examines social media, social networking
sites, and other ICTs for groups and communities, and their social
consequences. Examples Social networking sites and privacy Trust
and the Design of Online Reputation Systems The Internet and social
(in)equality Management and Design of Online Communities Social
media and social networks Community detection and online social
networks
Slide 18
Cees Midden research focus is on the social psychological
characteristics of human-technology interaction and the
psychological aspects of human-environment linkages. Persuasive
technology Artificial social agents Applications in Health,
automotive favorite area is the promotion of a sustainable world,
in which resources are protected and humans can live safely. Energy
efficient living, use of renewable energy systems, electric cars
and the management of technological risks
Slide 19
Gerrit Rooks social psychology, measurement theory and
sociology Research: social context of human-technology-
interaction. Questions concerning social networking in general, and
innovation diffusion and technology adoption of entrepreneurs in
developing countries Examples: Social networking Network structure
and innovation Determinants of innovation and technology adaption
(e- government / green choices)
Slide 20
Chris Snijders Background in Sociology Research and teaching in
methods, social networks decision making and expertise Topics of
interest: Experts, expertise, and decision support systems Trust
and cooperation: Online behavior Models in the social sciences
Purchasing and supply, organizational sociology Social networks
Decision making and choice under uncertainty
Slide 21
Wijnand IJsselsteijn Background in Artificial Intelligence and
Cognitive Neuropsychology Focus on on conceptualizing and measuring
human experiences in relation to advanced media environments
(immersive media, serious games, affective computing) in the
service of human learning, health, and wellbeing. Interest in
technological innovations (e.g., sensor-enabled mobile
technologies, virtual environments) that make possible novel forms
of human behaviour tracking Projects on: Socio-emotional computing,
using physiological signals to enhance intimate communication
Interpersonal physical contact over a distance (i.e., mediated
social touch) Telepresence in virtual environments and
computer-mediated communication Restorative effects of mediated
environments (e.g., virtual windows) Games as motivational tools
for learning and rehabilitation
Slide 22
Martijn Willemsen cognitive aspects of Human-Technology
Interaction, with a strong focus on judgment and decision making in
online environments information processing in decision making
online consumer decision making and how decisions can be supported
using tools and technologies Energy saving recommender Healthy
advices recommender
Slide 23
Ingrid Heynderickx Research focuses on visual perception (from
fundamental understanding to applications) and its consequences for
technology development in multimedia and artificial lighting,
linking perception to human well-being. Has 26 years of experience
at Philips Research Example projects are: Basic understanding of
spatio-temporal adaptation in visual perception Optimization of
(3D) television displays and their visual comfort Designing
comfortable lighting for different environments (homes, offices,
schools, outdoor, ) Personalization of products (taking into
account visual abilities, age, cultural differences)