We present a study of how householders personalize their domestic vacuuming robot, iRobot's Roomba". In particular, we build on Blom and Monk's [3] theory of personalization that argues that personalization does not only occur naturally but can also be induced by design choices. In this study, we created a personalization toolkit, which allowed people to customize their Roomba's appearance and distributed it to 15 households. Our observations of these households provide empirical support that personalization can facilitate positive experiences with a Roomba, and having materials to hand can increase the odds of customization. We conclude by discussing design implications for personalization.

It has long been recognized that novelty effects exist in the interaction with technologies. Despite this recognition, we still know little about the novelty effects associated with domestic robotic appliances and more importantly, what occurs after the novelty wears off. To address this gap, we undertook a longitudinal field study with 30 households to which we gave Roomba vacuuming robots and then observed use over six months. During this study, which spans over 149 home visits, we encountered methodological challenges in understanding households' usage patterns. In this paper we report on our longitudinal research, focusing particularly on the methods that we used 1) to understand human-robot interaction over time despite the constraints of privacy and temporality in the home, and 2) to uncover information when routines became less conscious to the participants themselves.

In this paper, we discuss a user-centered vision of future domestic robots based on 48 householders' depiction of their ideal home robots. Through users' creative responses, we aim to identify domestic tasks desired for robotic assistance, and hence guide the design effort to better reflect user needs. Our study results show that householders want domestic robots for tasks including time-consuming drudgeries, house-sitting, and personal attendance. Further, we present three design lessons we learned to increase householders' acceptance of these robots. The design of domestic robots needs to provide a certain amount of human control, be compatible with the user's domestic environment, and take gender into consideration.

Householders are increasingly adopting home networking as a solution to the demands created by the presence of multiple computers, devices, and the desire to access the Internet. However, current network solutions are derived from the world of work (and initially the military) and provide poor support for the needs of the home. We present the key findings to emerge from empirical studies of home networks in the UK and US. The studies reveal two key kinds of work that effective home networking relies upon: one, the technical work of setting up and maintaining the home network, and the other, the collaborative and socially organized work of the home which the network is embedded in and supports. The two are thoroughly intertwined and rely upon one another for their realization, yet neither is adequately supported by current networking technologies and applications. Explication of the “work to make the home network work” opens up the design space for the continued integration of the home network in domestic life and elaboration of future support. Key issues for development include the development of networking facilities that do not require advanced networking knowledge, that are flexible and support the local social order of the home and the evolution of its routines, and which ultimately make the home network visible and accountable to household members.

Despite the growing body of Human-Robot Interaction (HRI) research focused on domestic robots, surprisingly little is known about the demographic profile of robot owners and their influence on usage patterns. In this paper, we present the results of a survey of 379 iRobot's Roombao wners, that identified their demographic and usage trends. The outcome of the survey suggests that Roomba users are equally likely to be men or women, and they tend to be younger with high levels of education and technical backgrounds. Their adoption and use patterns illustrate the important role that gift exchange plays in adoption, and how the robot changes cleaning routines and creates non-cleaning activities. More generally, we argue that domestic robot adoption is growing, and suggest some of the factors that lead to a positive experience.