Loepp, BenediktWienrich, CarolinWintersberger, PhilippWeyers, Benjamin2021-09-052021-09-052021https://dl.gi.de/handle/20.500.12116/37375On the one hand, users’ decisionmaking in today’sweb is supported in numerous ways, with mechanisms ranging from manual search over automated recommendation to intelligent advisors. The focus on algorithmic accuracy, however, is questioned more and more. On the other hand, although the boundaries between the mechanisms are blurred increasingly, research on user-related aspects is still conducted separately in each area. In this position paper, we present a research agenda for providing a more holistic solution, in which users are supported with the right decision aid at the right time depending on personal characteristics and situational needs.enDecision supportHuman factorsInformation filteringAdaptive systemsRecommender systemsUser experienceUser modelingText/Workshop Paper10.18420/muc2021-mci-ws02-371