At Home with Ubiquitous Computing: Seven Challenges
By with Ubiquitous, Computing Seven. Ubiquitous Computing, 2001
728 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Science Applications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/9b01fbb7c83a3ba1ddea31125d75d83a5d884e87
How researchers see this paper
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In Computer Networks and Communications
- Anind K. Dey
- Sharad K. Agarwal
- Alex S Taylor
- Jason I. Hong
- Ratul Mahajan
- Smruti Ranjan Sarangi
- Stefan Saroiu
- Pallavi Sethi
In Computer Science Applications
- Min Kyung Lee
- Alex S Taylor
- Jason I. Hong
- Ella Glikson
- Alina Köchling
- Anita Williams Woolley
- Marius Claus Wehner
In Computer Vision and Pattern Recognition
- Saul Greenberg
- John Zimmerman
- Jason I. Hong
- Microsoft Research
- Anind K. Dey
- Jodi L. Forlizzi
- Sharad K. Agarwal
- Henrik Iskov Christensen
Citations in the corpus
- Home automation in the wild: challenges and opportunities (2011, background): “DI_G‟s experience is an excellent example of Edwards and Grinter‟s challenge of inference in the presence of ambiguity [10].”
- Principles of Smart Home Control (2006, background): “As research in ubiquitous [48] and context-aware [18] computing moves into the home, and systems begin to take action on behalf of users [22] either in a proactive or reactive sense, researchers are finding that users feel unexpectedly challenged by these systems [30].”
- Domestic Routines and Design for the Home (2004, background): “…development of technology in domestic settings, 1 researchers in the field have suggested that a concern with such phenomena as ‘tasks’, ‘procedures’, ‘workflow’, ‘business process’, etc., be replaced with a concern for the ‘stable and compelling routines of the home’ (Edwards and Grinter, 2001).”
- Smart homes and their users: a systematic analysis and key challenges (2014, background): “Edwards and Grinter [29] highlight several different aspects of the reliability challenge, including: debugging smart homes created ‘‘accidentally’’ by technologies introduced piecemeal; administering and fixing smart homes through self-healing systems that remove the need for household or third…”
- Learning from a learning thermostat: lessons for intelligent systems for the home (2013, background): “machine learning, issues of intelligibility and control become central to the concept of “manageability” [1,5].”
- "Hey Alexa, What's Up?": A Mixed-Methods Studies of In-Home Conversational Agent Usage (2018, background): “Therefore, they must be designed with particular strategies in mind [1,15].”
- Internet of Things: Architectures, Protocols, and Applications (2017, background): “There aremany challenges and issues with regard to smart home applications [81].”
- Usability evaluation considered harmful (some of the time) (2008, background): “, configuring hardware and wireless networks), the necessary information utilities are unavailable, or the system administration is too hard [8].”
- Machine intelligence (2009, background): “Considering what I've increasingly come to see as the insightful points made by Edwards and Grinter [7] on the piecemeal adoption of technology into our homes, the aversion we’ve had in our research to the idea of intelligent things seems all the more restrictive.”
- "My Roomba Is Rambo": Intimate Home Appliances (2007, background): “Further, it puts an interesting spin on the question raised by Edwards and Grinter [9]: how smart does smart home technology have to be, if people enjoy ambiguity and through that develop a commitment to a particular technology?”