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Personalisation is essential to achieve more acceptable and effective resultsin human-robot interaction. Placing users in the central role, many studieshave focused on enhancing the abilities of social robots to perceive andunderstand users. However, little is known about improving user perceptions andinterpretation of a social robot in spoken interactions. The work described inthe paper aims to find out what affects the personalisation of affordance of asocial robot, namely its appearance, voice and language behaviours. Theexperimental data presented here is based on an ongoing project. Itdemonstrates the many and varied ways in which people change their preferencesfor the affordance of a social robot under different circumstances. It alsoexamines the relationship between such preferences and expectations ofcharacteristics of a social robot, like competence and warmth. It also showsthat individuals have different perceptions of the language behaviours of thesame robot. These results demonstrate that one-sized personalisation does notfit all. Personalisation should be considered a comprehensive approach,including appropriate affordance design, to suit the user expectations ofsocial roles.

One Size Does not Fit All: Personalised Affordance Design for Social Robots