Home automation in the wild: challenges and opportunities

By A. J. Bernheim Brush, Bongshin Lee, Ratul Mahajan, Sharad K. Agarwal, Stefan Saroiu, Colin Dixon, Microsoft Research. International Conference on Human Factors in Computing Systems, 2011

495 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/51b3125609a84cf13900bcabfcdfd707d4c7c41b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Michael L. Littman
2. Mark W. Newman
3. Rayoung Yang
4. Florian Schaub
5. Ali Ismail Awad
6. Bako Ali

In Human-Computer Interaction

1. Mark W. Newman
2. Rayoung Yang
3. Florian Schaub
4. Anthony David Jameson

Citations in the corpus

• A risk analysis of a smart home automation system (2016, background): “In fact, the difficulty in achieving security in IoT environments has been identified as one of the top barriers of smart home automation [7], underlining that this is a cumbersome, yet important task.”
• Practical trigger-action programming in the smart home (2014, background): “While the technologies that enable home automation and smart homes have been around for decades, they have been expensive and complex [1].”
• End User Security and Privacy Concerns with Smart Homes (2017, background): “found that there is often one user who is most enthusiastic and others who interact with the smart home more passively [9, 41].”
• Learning from a learning thermostat: lessons for intelligent systems for the home (2013, background): “, [2,14,26]), they have not provided insights into the mainstream user experience of adaptive home technologies that seek to learn about occupants’ behaviors and preferences and change their operation accordingly.”
• Smart homes and their users: a systematic analysis and key challenges (2014, background): “These visions of intelligent homes are countered by the complexity, potential inflexibility and poor manageability of fully automated smart homes that are cited as key barriers to their adoption [8, 12].”
• Alexa, Are You Listening? (2018, methodology): “We modeled parts of our interview script (see Appendix B) after other qualitative smart home and IoT privacy studies [15, 36, 63].”
• Understanding the Long-Term Use of Smart Speaker Assistants (2018, methodology): “Brush et al. [5] studied smart home interactions in 2011 and included photos of some of the physical controls for interacting with smart homes that were used in the wild at the time.”
• "Accessibility Came by Accident": Use of Voice-Controlled Intelligent Personal Assistants by People with Disabilities (2018, background): “Smart home technologies also introduce challenges such as privacy and security [43], cost [8,13], and a worry about”