Fetching the paper…
Reading the bibliography…
Smart home assistants function best when user commands are direct and well-specified (e.g., "turn on the kitchen light"), or when a hard-coded routine specifies the response.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
A definition of relevance for information retrieval
William S Cooper. 1971 · 1971
Earlier work this paper cites.
Smart Home concept and the integration of energy meters into a home based system. In Seventh International Conference on Metering Apparatus and Tariffs for Electricity Supply 1992 . 277–278
R. Lutolf. 1992 · 1992
Earlier work this paper cites.
Tokenization as the initial phase in NLP. In COLING 1992 volume 4: The 14th international conference on computational linguistics
Jonathan J Webster and Chunyu Kit. 1992 · 1992
Earlier work this paper cites.
The computer for the 21st century
Mark Weiser. 1999 · 1999
Earlier work this paper cites.
Understanding and using context
Anind K Dey. 2001 · 2001
Earlier work this paper cites.
Syntactic Structures
Noam Chomsky. 2002 · 2002
Earlier work this paper cites.
Smart home design and operation preferences of Americans and Koreans
Kyeong-Ah Jeong, Gavriel Salvendy, and Robert W Proctor. 2010 · 2010
Earlier work this paper cites.
Chapter 12: Significance and measures of association
Robert Botsch. 2011 · 2011
Earlier work this paper cites.
Learning setting-generalized activity models for smart spaces
Diane J Cook. 2012 · 2012
Earlier work this paper cites.
A survey on ambient intelligence in healthcare
Giovanni Acampora, Diane J Cook, Parisa Rashidi, and Athanasios V Vasilakos. 2013 · 2013
Earlier work this paper cites.
Smart homes and their users: a systematic analysis and key challenges
Charlie Wilson, Tom Hargreaves, and Richard Hauxwell-Baldwin. 2015 · 2015
Earlier work this paper cites.
Augur: Mining human behaviors from fiction to power interactive systems. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems . 237–247
Ethan Fast, William McGrath, Pranav Rajpurkar, and Michael S Bernstein. 2016 · 2016
Earlier work this paper cites.
Automated planning for ubiquitous computing
Ilche Georgievski and Marco Aiello. 2016 · 2016
Earlier work this paper cites.
"Like Having a Really Bad PA" The Gulf between User Expectation and Experience of Conversational Agents. In Proceedings of the 2016 CHI conference on human factors in computing systems . 5286–5297
Ewa Luger and Abigail Sellen. 2016 · 2016
Earlier work this paper cites.
A review of smart home applications based on Internet of Things
Mussab Alaa, Aws Alaa Zaidan, Bilal Bahaa Zaidan, Mohammed Talal, and Miss Laiha Mat Kiah. 2017 · 2017
Earlier work this paper cites.
Devices and data and agents, oh my: How smart home abstractions prime end-user mental models
Meghan Clark, Mark W Newman, and Prabal Dutta. 2017 · 2017
Earlier work this paper cites.
"What can I help you with?" infrequent users’ experiences of intelligent personal assistants. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services . 1–12
Benjamin R Cowan, Nadia Pantidi, David Coyle, Kellie Morrissey, Peter Clarke, Sara Al-Shehri, David Earley, and Natasha Bandeira. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Understanding the long-term use of smart speaker assistants
Frank Bentley, Chris Luvogt, Max Silverman, Rushani Wirasinghe, Brooke White, and Danielle Lottridge. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Taku Kudo and John Richardson. 2018 · 2018
Cited alongside, same era.
Designing a goal-oriented smart-home environment
Javier Palanca, Elena del Val, Ana Garcia-Fornes, Holger Billhardt, Juan Manuel Corchado, and Vicente Julián. 2018 · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
Cited alongside, same era.
Who will be smart home users? An analysis of adoption and diffusion of smart homes
Jungwoo Shin, Yuri Park, and Daeho Lee. 2018 · 2018
Cited alongside, same era.
Smarter greener cities through a social-ecological-technological systems approach
Artur Branny, Maja Steen Møller, Silviya Korpilo, Timon McPhearson, Natalie Gulsrud, Anton Stahl Olafsson, Christopher M Raymond, and Erik Andersson. 2022 · 2022
Later among the works it cites.
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel. 2022 · 2022
Later among the works it cites.
Design and implementation of smart buildings: a review of current research trend
Dongsu Kim, Yeobeom Yoon, Jongman Lee, Pedro J Mago, Kwangho Lee, and Heejin Cho. 2022 · 2022
Later among the works it cites.
Code as policies: Language model programs for embodied control
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Do we need natural language? Exploring restricted language interfaces for complex domains. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems . 1–6
Jesse Mu and Advait Sarkar. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Cited alongside, same era.
Fine-tuning language models from human preferences
Daniel M Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B Brown, Alec Radford, Dario Amodei, Paul Christiano, and Geoffrey Irving. 2019 · 2019
Cited alongside, same era.
The pile: An 800gb dataset of diverse text for language modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al · 2020
Cited alongside, same era.
He is just like me: a study of the long-term use of smart speakers by parents and children
Radhika Garg and Subhasree Sengupta. 2020 · 2020
Cited alongside, same era.
VISH: Does Your Smart Home Dialogue System Also Need Training Data?. In Web Engineering: 20th International Conference, ICWE 2020, Helsinki, Finland, June 9–12, 2020, Proceedings 20 . Springer, 171–187
Mahda Noura, Sebastian Heil, and Martin Gaedke. 2020b · 2020
Cited alongside, same era.
Use of intelligent voice assistants by older adults with low technology use
Alisha Pradhan, Amanda Lazar, and Leah Findlater. 2020 · 2020
Cited alongside, same era.
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, and Andy Zeng. 2022 · 2022
Later among the works it cites.
Exploring the opinions of experts in conversational design: A Study on users’ mental models of voice assistants. In International Conference on Human-Computer Interaction . Springer, 494–514
Isabela Motta and Manuela Quaresma. 2022 · 2022
Later among the works it cites.
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, and Huajun Chen. 2022 · 2022
Later among the works it cites.
User requirements for the design of smart homes: dimensions and goals
Michaela R Reisinger, Sebastian Prost, Johann Schrammel, and Peter Fröhlich. 2022 · 2022
Later among the works it cites.
Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
Later among the works it cites.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou. 2022 · 2022
Later among the works it cites.
Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts. In Proceedings of the 2022 CHI conference on human factors in computing systems . 1–22
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022 · 2022
Later among the works it cites.
TP-Link Kasa Smart Plugs
2023 · 2023
Closest in time.
"Get ready for a party": Exploring smarter smart spaces with help from large language models
Evan King, Haoxiang Yu, Sangsu Lee, and Christine Julien. 2023 · 2023
Closest in time.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2023 · 2023
Closest in time.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Closest in time.
Large language models can be easily distracted by irrelevant context
Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed Chi, Nathanael Schärli, and Denny Zhou. 2023 · 2023
Closest in time.
Marta Skreta, Naruki Yoshikawa, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Kourosh Darvish, Alán Aspuru-Guzik, Florian Shkurti, and Animesh Garg. 2023 · 2023
Closest in time.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Closest in time.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Closest in time.
Studying Exploration & Long-Term Use of Voice Assistants by Older Adults. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–11
Pooja Upadhyay, Sharon Heung, Shiri Azenkot, and Robin N Brewer. 2023 · 2023
Closest in time.
TidyBot: Personalized Robot Assistance with Large Language Models
Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, and Thomas Funkhouser. 2023 · 2023
Closest in time.