Martijn Willemsen Martijn Willemsen researches the cognitive aspects of Human-Technology Interaction, with a strong focus on judgment and decision making in online environments. His applied research focuses on how online decisions can be supported by recommender systems, and includes domains such as movies, health related decisions and energy-saving measures. From a more theoretical perspective, he has a special interest in process tracing technologies to capture and analyze in detail information processing of decision makers.

Introduction

Martijn Willemsen is associate professor in the Human-Technology Interaction group at the school of Innovation Sciences at the Eindhoven University of Technology and also works as the principle investigator of the Recommender Lab in the Data and Humans research program of the Jheronimous Academy of Data Science in Den Bosch.He holds a masters degree in Electrical Engineering and in Technology and Society from Eindhoven University of Technology. After obtaining his Ph.D. in the psychology of decision making, he obtained a Veni-grant from NWO, the Dutch national science foundation. He worked as a postdoc at Columbia University, where he developed, together with Eric Johnson, an online tool for studying information acquisition processes of decision makers, mouselabWEB. Currently, Martijn teaches in the bachelor's program in Psychology and Technology and the master's program in Human-Technology Interaction at Eindhoven University of Technology and the data science BSc and MSc programs of JADS.

Research Interests

Martijn Willemsen's research specializes in cognitive aspects of Human-Technology Interaction, with a strong focus on judgment and decision making in online environments. From a theoretical perspective, he has a special interest in process tracing technologies to capture and analyze in detail information processing of decision makers. His applied research focuses on online consumer decision making including environmental and health decisions and how these can be supported by recommender systems. Recent research has focused on user-centric development and evaluation of recommender systems and the psychological aspects of decision making in recommender systems. Topics include choice overload, the impact of diversification on choice difficulty and choice satisfaction and how memory processes influence rating behavior.

Skills

As a researcher in process tracing and evaluation methods, Martijn developed skills in data processing and analysis, including multilevel hierarchical models (using R) and SEM modeling (using Mplus). Interested in online research and as a developer of MouselabWEB, he developed skills in javascript programming, php, mySQL and HTML.

Contact

  • Email: M.C.Willemsen[at]tue[dot]nl
  • phone: +31-40-2472561
  • Twitter: McWillemsen
  • address:
    Martijn C. Willemsen
    Eindhoven University of Technology
    School of Innovation Sciences
    Human-Technology Interaction
    IPO 0.17
    P.O. Box 513
    5600MB Eindhoven

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