Principal Investigators

Prof. Dr. Sarah Diefenbach, LMU Munich (Homepage)
Prof. Dr.-Ing. Andreas Butz, LMU Munich (Homepage)

Researchers

Dr. Daniel Ullrich, LMU Munich (Homepage)
Carl Oechsner, LMU Munich (Homepage)
Ilka Hein, LMU Munich (Homepage)

The “Smart Home” concept promises an intelligent, helpful environment, in which technology makes life easier, simpler, or safer for its inhabitants. On a technical level, this is currently achieved by many networked devices interacting with each other, working on shared protocols and standards. From the perspective of user experience (UX), however, the configuration of and interaction with such a collection of devices has become so complex that it currently rather stands in the way of widespread adoption and use. Thus, instead of many singular, but interacting intelligent devices, the project “PerforM – Personalities for Machinery in Personal Pervasive Smart Spaces” proposes an overarching interaction concept for the environment as a whole, addressing the mental model of a central, omnipresent “room intelligence”. This room intelligence controls existing UI-less smart home devices, but is also able to deal with “legacy”, i.e., non-smart machinery or generally any physical object by using a robotic manipulator (e.g., a mobile robotic arm).

Main Research Question

How can the personality of pervasive computing environments be conveyed in a believable and authentic way?

Sub-research Questions

1. What are the necessary cues such environments have to provide to convey a personality?
2. How can we evaluate users’ perceptions of such a room personality, and how do perceptions of personality correlate with users’ behavior, trust, and acceptance?
3. What are adequate personalities for the room intelligence, and to what degree is the adequate personality dependent on the user’s own personality or general tendency for anthropomorphism?
4. Which factors support the perception of the room as a coherent entity instead of a collection of singular elements?
5. What are adequate ways of communication for this room intelligence?
6. What are adequate ways to attract and guide the users‘ attention?
7. How can such ways be provided in a technologically and conceptually scalable way?

Publications