The interaction of Older adults with robots requires effective feedback to keep them aware of the state of the interaction for optimum interaction quality. This study examines the effect of different feedback modalities in a table setting robot assistant for elder care. Two different feedback modalities (visual and auditory) and their combination were evaluated for three complexity levels. The visual feedback included the use of LEDs and a GUI screen. The auditory feedback included alerts (beeps) and verbal commands. The results revealed that the quality of interaction was influenced mainly by the feedback modality, and complexity had less influence. The verbal feedback was significantly preferable and increased the involvement of the participants during the experiment. The combination of LED lights and verbal commands increased participants' understanding contributing to the quality of interaction.