Beyond user experience: What constitutes algorithmic experiences? Abstract   Algorithms are progressively transforming human experience, especially, the interaction with businesses, governments, education, and entertainment. As a result, people are growingly seeing the outside world, in a sense, through the lens of algorithms. Despite the importance of algorithmic experience (AX), few studies had been devoted to investigating the nature and processes through which users perceive and actualize the potential for algorithm affordance. This study proposes the Algorithm Acceptance Model to conceptualize the notion of AX as part of the analytic framework for humanalgorithm interaction. It then tests how AX shapes the satisfaction with and acceptance of algorithm services. The results show that AX is inherently related to human understanding of fairness, transparency, and other conventional components of userexperience, indicating the heuristic roles of transparency and fairness regarding their underlying relations of user experience and trust. AX can influence the user perception of algorithmic systems in the context of algorithm ecology, offering useful insights into the design of humancentered algorithm systems. The findings provide initial and robust support for the proposed Algorithm Acceptance Model.

Understanding Museum visitors experience through an Eyetracking study and a Living Lab approach Usercentered and participatory innovation practices like LivingLabs are nowadays increasingly been used to integrate, design and improve usersu0027 experience (UX) in different fields. These methods that had emerged from web and mobile design fields can contribute to the UX in several other fields. Museum visitors experience is a field that can benefit from them. The purpose of this paper is to contribute to the understanding of the museum visitorsu0027 experience through the use of tools from UX and usability studies. Among those techniques, field trials studies can help to better understand usersu0027 preferences as experience is tested in a real life setting. Exposition curators and managers can then use these understandings to improve visitorsu0027 experience. We present a study held at the Museum Aquarium of NancyMAN (France). In this study, were evaluated visitorsu0027 preferences among four different information supports in an exhibition module using a protocol that combines eyes tracking and an after use survey. Results show that interactive supports, as tablets and screens, even if not preferred by the majority of participants, once engaged with these supports, they interact longer time. Found evidence let us conclude that supports that are different and uncommon are preferred by most of the participants but, they donu0027t keep them engaged for a long time.