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Conventional Voice Assistants (VAs) rely on traditional language models to discern user intent and respond to their queries, leading to interactions that often lack a broader contextual understanding, an area in which Large Language Models (LLMs) excel.
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Using uh and um in spontaneous speaking
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Media equation theory
Lee, K. M. (2008) · 2008
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How quickly should communication robots respond?
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What is conversation? how can we design for effective conversation
Dubberly, H. and Pangaro, P. (2009) · 2009
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Intelligent systems in tourism: A social science perspective
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Human-Agent and Human-Robot Interaction Theory: Similarities to and Differences from Human-Human Interaction
Krämer, N. C., von der Pütten, A., and Eimler, S. (2012) · 2012
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Sauppé, A. and Mutlu, B. (2014) · 2014
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Designing voice user interfaces: Principles of conversational experiences
Pearl, C. (2016) · 2016
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Alexa vs. siri vs. cortana vs. google assistant: a comparison of speech-based natural user interfaces
López, G., Quesada, L., and Guerrero, L. A. (2018) · 2017
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Patient and consumer safety risks when using conversational assistants for medical information: an observational study of siri, alexa, and google assistant
Bickmore, T. W., Trinh, H., Olafsson, S., O’Leary, T. K., Asadi, R., Rickles, N. M., and Cruz, R. (2018) · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018) · 2018
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Evorus: A crowd-powered conversational assistant built to automate itself over time
Huang, T.-H. K., Chang, J. C., and Bigham, J. P. (2018) · 2018
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All work and no play?
Liao, Q. V., Mas-ud Hussain, M., Chandar, P., Davis, M., Khazaeni, Y., Crasso, M. P., Wang, D., Muller, M., Shami, N. S., and Geyer, W. (2018) · 2018
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Patterns for how users overcome obstacles in voice user interfaces
Myers, C., Furqan, A., Nebolsky, J., Caro, K., and Zhu, J. (2018) · 2018
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Voice interfaces in everyday life
Porcheron, M., Fischer, J. E., Reeves, S., and Sharples, S. (2018) · 2018
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Interactive voice response interventions targeting behaviour change: a systematic literature review with meta-analysis and meta-regression
Tsoli, S., Sutton, S., and Kassavou, A. (2018) · 2018
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Music, search, and iot: How people (really) use voice assistants
Ammari, T., Kaye, J., Tsai, J. Y., and Bentley, F. (2019) · 2019
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Resilient chatbots: Repair strategy preferences for conversational breakdowns
Ashktorab, Z., Jain, M., Liao, Q. V., and Weisz, J. D. (2019) · 2019
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Using voice assistant skills in family life
Beirl, D., Rogers, Y., and Yuill, N. (2019) · 2019
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Once a kind friend is now a thing: Understanding how conversational agents at home are forgotten
Cho, M., Lee, S.-s., and Lee, K.-P. (2019) · 2019
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What makes a good conversation? challenges in designing truly conversational agents
Clark, L., Pantidi, N., Cooney, O., Doyle, P., Garaialde, D., Edwards, J., Spillane, B., Gilmartin, E., Murad, C., Munteanu, C., Wade, V., and Cowan, B. R. (2019) · 2019
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A cognitive assistant that uses small talk in tutoring conversation
de Medeiros, L. F., Junior, A. K., and Moser, A. (2019) · 2019
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Mapping perceptions of humanness in intelligent personal assistant interaction
Doyle, P. R., Edwards, J., Dumbleton, O., Clark, L., and Cowan, B. R. (2019) · 2019
Cited alongside, same era.
Chatbots, humbots, and the quest for artificial general intelligence
Grudin, J. and Jacques, R. (2019) · 2019
Cited alongside, same era.
Conversational UX Design: A Practitioner’s Guide to the Natural Conversation Framework
Moore, R. J. and Arar, R. (2019) · 2019
Cited alongside, same era.
Chan, S., Li, J., Yao, B., Mahmood, A., Huang, C.-M., Jimison, H., Mynatt, E. D., and Wang, D. (2023) · 2023
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Towards next-generation intelligent assistants leveraging llm techniques
Dong, X. L., Moon, S., Xu, Y. E., Malik, K., and Yu, Z. (2023) · 2023
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Doyle, P. R., Gessinger, I., Edwards, J., Clark, L., Dumbleton, O., Garaialde, D., Rough, D., Bleakley, A., Branigan, H. P., and Cowan, B. R. (2023) · 2023
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Booking.com launches new ai trip planner to enhance travel planning experience
Global, B. (2023) · 2023
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NLP vs NLU VS NLG (know what you are trying to achieve) NLP engine (part-1)
GN, C. K. (2019) · 2023
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Trust me, i’ma doctor–user perceptions of ai-driven apps for mobile health diagnosis
Baldauf, M., Fröehlich, P., and Endl, R. (2020) · 2020
Cited alongside, same era.
The role of conversational grounding in supporting symbiosis between people and digital assistants
Cho, J. and Rader, E. (2020) · 2020
Cited alongside, same era.
Tell me about yourself: Using an ai-powered chatbot to conduct conversational surveys with open-ended questions
Xiao, Z., Zhou, M. X., Liao, Q. V., Mark, G., Chi, C., Chen, W., and Yang, H. (2020) · 2020
Cited alongside, same era.
Ai-based medical voice assistant during covid-19
Balakesava Reddy, P., Ramasubbareddy, S., and Govinda, K. (2022) · 2021
Cited alongside, same era.
What do you mean? a review on recovery strategies to overcome conversational breakdowns of conversational agents
Benner, D., Elshan, E., Schöbel, S., and Janson, A. (2021) · 2021
Cited alongside, same era.
My bad! repairing intelligent voice assistant errors improves interaction
Cuadra, A., Li, S., Lee, H., Cho, J., and Ju, W. (2021) · 2021
Cited alongside, same era.
Do you have time for a quick chat? designing a conversational interface for sexual harassment prevention training
Do, H. J., Yang, S. H., Choi, B.-G., Fu, W. T., and Bailey, B. P. (2021) · 2021
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Rewriting the script: Adapting text instructions for voice interaction
Hwang, A., Oza, N., Callison-Burch, C., and Head, A. (2023) · 2023
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Co-writing with opinionated language models affects users’ views
Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., and Naaman, M. (2023a) · 2023
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Co-writing with opinionated language models affects users’ views
Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., and Naaman, M. (2023b) · 2023
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Understanding the benefits and challenges of deploying conversational ai leveraging large language models for public health intervention
Jo, E., Epstein, D. A., Jung, H., and Kim, Y.-H. (2023) · 2023
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Accuracy of a generative artificial intelligence model in a complex diagnostic challenge
Kanjee, Z., Crowe, B., and Rodman, A. (2023) · 2023
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Exploring chatgpt capabilities and limitations: A critical review of the nlp game changer
Koubaa, A., Boulila, W., Ghouti, L., Alzahem, A., and Latif, S. (2023) · 2023
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Collaboration with conversational ai assistants for ux evaluation: Questions and how to ask them (voice vs. text)
Kuang, E., Jahangirzadeh Soure, E., Fan, M., Zhao, J., and Shinohara, K. (2023) · 2023
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Chatgpt in healthcare: Exploring ai chatbot for spontaneous word retrieval in aphasia
kumar Purohit, A., Upadhyaya, A., and Holzer, A. (2023) · 2023
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Gender biases in error mitigation by voice assistants
Mahmood, A. and Huang, C.-M. (2023) · 2023
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Usage policies https://openai.com/policies/usage-policies
OpenAI · 2023
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ChatGPT-3.5 Turbo: Model Documentation
OpenAI (2023a) · 2023
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ChatGPT can now see, hear, and speak
OpenAI (2023b) · 2023
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ChatGPT Plugins
OpenAI (2023c) · 2023
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Learning gain differences between chatgpt and human tutor generated algebra hints
Pardos, Z. A. and Bhandari, S. (2023) · 2023
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Is chatgpt a general-purpose natural language processing task solver?
Qin, C., Zhang, A., Zhang, Z., Chen, J., Yasunaga, M., and Yang, D. (2023) · 2023
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Qu, X., Liu, H., Sun, Z., Yin, X., Ong, Y. S., Lu, L., and Ma, Z. (2023) · 2023
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Evaluating chatgpt as an adjunct for radiologic decision-making
Rao, A., Kim, J., Kamineni, M., Pang, M., Lie, W., and Succi, M. D. (2023) · 2023
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Previewing the Future of Alexa
Rausch, D. (2023) · 2023
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Let’s have a chat! a conversation with chatgpt: Technology, applications, and limitations
Shahriar, S. and Hayawi, K. (2023) · 2023
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Alexa unveils new speech recognition, text-to-speech technologies https://www.amazon.science/blog/alexa-unveils-new-speech-recognition-text-to-speech-technologies
Writer, S. (2023) · 2023
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Inform the uninformed: Improving online informed consent reading with an ai-powered chatbot
Xiao, Z., Li, T. W., Karahalios, K., and Sundaram, H. (2023) · 2023
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“rosita reads with my family”: Developing a bilingual conversational agent to support parent-child shared reading
Xu, Y., He, K., Vigil, V., Ojeda-Ramirez, S., Liu, X., Levine, J., Cervera, K., and Warschauer, M. (2023) · 2023
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Talk2care: Facilitating asynchronous patient-provider communication with large-language-model
Yang, Z., Xu, X., Yao, B., Zhang, S., Rogers, E., Intille, S., Shara, N., Wang, D., et al. (2023) · 2023
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Beyond self-diagnosis: How a chatbot-based symptom checker should respond
You, Y., Tsai, C.-H., Li, Y., Ma, F., Heron, C., and Gui, X. (2023) · 2023
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