Our aim is to generate knowledge on how the user’s experience is influenced by temporal issues in different contexts like the automotive or the factory context. Investigating the temporality of user experience (i.e., how the quality of the users’ experience develops over time) is an upcoming research area within HCI. We currently work on the theoretical representation of UX as a phenomenon, which changes over time. Further, we differentiate between anticipated, instant, and remembered user experience and investigate how these phases are interrelated.

Another focus is dedicated to the question of how specific aspects (e.g., safety, stress) of the user’s experience change over time. So far, we investigated temporal transitions of the user’s experience in different contexts. One of these contexts was the semiconductor factory, where we studied changes of the user’s experience when interacting with robots over 1.5 years. The automotive context represents another area where we researched temporal transitions of the user’s experience. Here, one study dealt with the driver’s experiences with, and acceptance of, a parking assist system in a newly bought car for a period of eight weeks. In another study, we investigated commuters’ predicted, actual, and remembered frustration and anger in road congestion.

Currently, we are exploring factors that account for the adoption and acceptance of robots in a semiconductor factory. Therefore, we study operators’ experience regarding their collaboration with robots from an over time perspective, including attitudes and expectations before the deployment of the robots, as well as initial and prolonged (current) experiences with them.

Contact: Daniela Wurhofer

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