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  1. Mentor selection HTI master program 2013-2014

  2. 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…

  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 student’s progress in the master program

  4. Choosing a mentor… • Select potential mentors based on your interests and background • Check the education website: • • • This offers a description of the interests of the mentors and links to previous thesis projects • Check the HTI group website • • This offers descriptions of research programs, papers and other information on the research within HTI

  5. Mentor choice • At the end of this week, report your choice to the MA-HTI coordinator (Jaap Ham) • Report your 1st , 2nd and 3rd 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

  6. Initial meeting with mentor • Preferably in the 2nd week • Get to know each other • Discuss the student’s program • Make a preliminary list of courses

  7. Schedule for mentor meetings

  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

  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

  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

  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)

  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 Technology—Unconscious Influences from the Environment

  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

  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

  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

  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)?  

  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

  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

  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)

  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

  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

  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

  23. Ingrid Heynderickx • Research focuses on visualperception (fromfundamentalunderstandingtoapplications) anditsconsequencesfortechnologydevelopmentin 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)