The success of interactive systems depends on a variety of factors, including usability and system performances. The balance of these factors is more ideal than a practice, since traditionally these issues have been addressed by two distinct communities – Human-Computer Interaction and Software Engineering – using different processes, methods and tools. Consequently, the traditional approach is to separately address human performances and system performances. We argue that results from early-cycle system performance evaluation should be exploited by interaction designers to produce “performanceinformed” design iteration, then leading to a performance-aware self-adaptive interaction environment, according to a vision bridging the two communities.
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