Abstract. The purpose of this Wizard-of-Oz study was to explore the intuitive verbal and non-verbal goal-directed behavior of naïve participants in an intelligent robotics apartment. Participants had to complete seven mundane tasks, for instance, they were asked to turn on the light. Participants were explicitly instructed to consider nonstandard ways of completing the respective tasks. A multi-method approach revealed that most participants favored speech and interfaces like switches and screens to communicate with the intelligent robotics apartment. However, they required instructions to use the interfaces in order to perceive them as competent targets for human-machine interaction. Hence, first important steps were taken to investigate how to design an intelligent robotics apartment in a user-centered and user-friendly manner.Keywords: Social robot • smart home • human-robot interaction • use-case scenario • usability • intuitive design • user-centered design.
The use of Personal Voice Assistants (PVAs) 1 such as Alexa and the Google Assistant is rising steadily, but there is a lack of research investigating common issues and requests of PVAs in the context of smart home control. We address this research question with an online survey (n = 65), using a qualitative evaluation of users' problems and improvement requests. Our analysis leads to a partly hierarchic clustering of issues & recommendations for interaction capabilities of PVAs into seven basic categories, allowing us in turn to derive implications and to condense them into design guidelines for future Human-Agent Interaction (HAI) with PVAs. Specifically, we formulate and elaborate the concepts Authentication & Authorization, Activity-Based Interaction, Situated Dialogue, and Explainability & Transparency as key topics for making progress towards smooth interaction with smart homes.
Technologies that aim to achieve intelligent automation in smart homes typically involve either trigger-action pairs or machine learning. These, however, are often complex to configure or hard to comprehend for the user. To maximize automation efficiency while keeping the configuration simple and the effects comprehensible, we thus explore an alternative agent-based approach. With the help of a survey, we put together a set of intelligent agents that act autonomously in the environment. Conflicts between behaviors, identified with a secondary study, are thereby resolved with a competitive combination of agents. We finally present the draft of a user interface that allows for individual configuration of all agents.
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