User Interaction Forensics
The foundation of self-adaptive systems is sound elicitation of the input for the adaptation algorithm. If the input of the adaptation is not reliable, the resulting adaptation will not be reliable either. Especially if the aim is to adapt to the user, the information probably stems from unobtrusive measures but still needs to be reliable. Thus, this paper describes a controlled experiment conducted to investigate in four hypotheses how to make miscellaneous interaction information (which is available anyway) interpretable. These four hypotheses concern three aspects: precision of the interaction step, bias according to right-/left-handedness, and bias of the interaction element. A total of 33 participants were involved. All four hypotheses could be strengthened at a high level of significance.
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