The adaptivity of human search
Date & Time: 2023.11.30(Thu) 13:00-14:00Location: Hokkaido University, Faculty of Humanities and Human Scieces, room E304Zoom: Please click here.Speaker: Andreas Wilke(Department of Psychology, Clarkson University, Professor)Title: The adaptivity of human search Abstract：Humans and other organisms must search effectively for the resources they need, whether these are physical (e.g., food or shelter) or informational (e.g., patterns in the world, or concepts stored in memory). Most human search studies have focused on brief (static) laboratory tasks, but being...
Food for thought: The potential of a social approach to promote heal thy, sustainable eating.
Abstract:Unbalanced nutrition and related diseases are currently among the biggest challenges to public health in industrialized societies. Many behavioral change interventions have had limited success in long-term change of nutrition and eating behaviors. One possible explanation is that past interventions have conceptualized eating as individual behavior. Yet, eating is a social activity: Over the course of evolution, humans have used food to establish social bonds; by the age of 20, a person has eaten...
Enriching environmental psychology with cross-national comparisons.
Date & Time: 2023.8.8(Tue) 10:00-12:00Location: Hokkaido University, Faculty of Humanities and Human Scieces, room E304Speaker：Kevin Kim-Pong Tam准教授(The Hong Kong University of Science and Technology)Title：Enriching environmental psychology with cross-national comparisons. Abstract:Humans’ interactions with their surrounding environments are embedded in national contexts. A complete rendition of environmental psychology herefore necessitates sensitivity to the influence of contextual factors and the possibility of cross-national variations. In this talk, I will demonstrate that mainstream research in our field currently...
音楽文化の知能科学への機械学習と進化過程のモデルに基づくアプローチ
Date & Time: 2023.7.31(Mon) 13:00-14:00Location: Hokkaido University, Faculty of Humanities and Human Scieces, room E304Zoom: Click hereSpeaker: Eita Nakamura (Kyoto University, The Hakubi Project, Assistant Professor)Title: 音楽文化の知能科学への機械学習と進化過程のモデルに基づくアプローチ
