Wizard of Oz studies — why and how

Socially intelligent robots: Dimensions of human-robot interaction

Dautenhahn, K. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2006.2004 · Cited by 1,210 · see citing works

Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot

Ho, A., Hancock, J., & Miner, A. S. (2018) · Journal of Communication · doi:10.1093/joc/jqy026 · Cited by 629 · see citing works

How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design

Chaves, A. P., & Gerosa, M. A. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1841438 · Cited by 572 · see citing works

Review of health information technology usability study methodologies

Yen, P.-Y., & Bakken, S. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2010-000020 · Cited by 390 · see citing works

Effectiveness of an Empathic Chatbot in Combating Adverse Effects of Social Exclusion on Mood

de Gennaro, M., Krumhuber, E. G., & Lucas, G. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.03061 · Cited by 265 · see citing works

Voice in Human–Agent Interaction: A Survey

Seaborn, K., Miyake, N. P., Pennefather, P., & Otake-Matsuura, M. (2022) · ACM Computing Surveys · doi:10.1145/3386867 · Cited by 249 · see citing works

AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness

Jakesch, M., French, M., Ma, X., Hancock, J. T., & Naaman, M. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300469 · Cited by 190 · see citing works

At Your Service: Designing Voice Assistant Personalities to Improve Automotive User Interfaces

Braun, M., Mainz, A., Chadowitz, R., Pfleging, B., & Alt, F. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300270 · Cited by 182 · see citing works

One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

Sokol, K., & Flach, P. (2020) · KI - Künstliche Intelligenz · doi:10.1007/s13218-020-00637-y · Cited by 186 · see citing works

Exploring human error recovery strategies: Implications for spoken dialogue systems

Skantze, G. (2005) · Speech Communication · doi:10.1016/j.specom.2004.11.005 · Cited by 137 · see citing works

From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies

Biermann, O. C., Ma, N. F., & Yoon, D. (2022) · Designing Interactive Systems Conference · doi:10.1145/3532106.3533506 · Cited by 116 · see citing works

Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design

Zhou, J., Li, R., Tang, J., Tang, T., Li, H., Cui, W., & Wu, Y. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642812 · Cited by 107 · see citing works

VoxLens: Making Online Data Visualizations Accessible with an Interactive JavaScript Plug-In

Sharif, A., Wang, O. H., Muongchan, A. T., Reinecke, K., & Wobbrock, J. O. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517431 · Cited by 86 · see citing works

To Please in a Pod: Employing an Anthropomorphic Agent-Interlocutor to Enhance Trust and User Experience in an Autonomous, Self-Driving Vehicle

Large, D. R., Harrington, K., Burnett, G., Luton, J., Thomas, P., & Bennett, P. (2019) · Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications · doi:10.1145/3342197.3344545 · Cited by 74 · see citing works

Evaluating spoken dialogue systems according to de-facto standards: a case study

Möller, S., Smeele, P., Boland, H., & Krebber, J. (2007) · Computer Speech & Language · doi:10.1016/j.csl.2005.11.003 · Cited by 69 · see citing works

Steering the conversation: A linguistic exploration of natural language interactions with a digital assistant during simulated driving

Large, D. R., Clark, L., Quandt, A., Burnett, G., & Skrypchuk, L. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.04.003 · Cited by 65 · see citing works

Reducing working memory load in spoken dialogue systems

Wolters, M., Georgila, K., Moore, J. D., Logie, R. H., MacPherson, S. E., & Watson, M. (2009) · Interacting with Computers · doi:10.1016/j.intcom.2009.05.009 · Cited by 61 · see citing works

Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adults

Stegner, L., Senft, E., & Mutlu, B. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580893 · Cited by 56 · see citing works

Slide-Tone and Tilt-Tone: 1-DOF Haptic Techniques for Conveying Shape Characteristics of Graphs to Blind Users

Fan, D., Siu, A. F., Law, W.-S. A., Zhen, R. R., O'Modhrain, S., & Follmer, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517790 · Cited by 37 · see citing works

A Strategy for Information Presentation in Spoken Dialog Systems

Demberg, V., Winterboer, A., & Moore, J. D. (2011) · Computational Linguistics · doi:10.1162/coli_a_00064 · Cited by 34 · see citing works

Persuasive Synthetic Speech: Voice Perception and User Behaviour

Dubiel, M., Halvey, M., Gallegos, P. O., & King, S. (2020) · Proceedings of the 2nd Conference on Conversational User Interfaces · doi:10.1145/3405755.3406120 · Cited by 28 · see citing works

<i>“Every Website Is a Puzzle!”</i> : Facilitating Access to Common Website Features for People with Visual Impairments

Barbosa, N. M., Hayes, J., Kaushik, S., & Wang, Y. (2022) · ACM Transactions on Accessible Computing · doi:10.1145/3519032 · Cited by 28 · see citing works

How voice augmentation supports elderly web users

Sato, D., Kobayashi, M., Takagi, H., Asakawa, C., & Tanaka, J. (2011) · The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility · doi:10.1145/2049536.2049565 · Cited by 26 · see citing works

Towards Designing Conversational Agents for Pair Programming: Accounting for Creativity Strategies and Conversational Styles

Kuttal, S. K., Myers, J., Gurka, S., Magar, D., Piorkowski, D., & Bellamy, R. (2020) · 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vl/hcc50065.2020.9127276 · Cited by 27 · see citing works

Understanding and Improving Drilled-Down Information Extraction from Online Data Visualizations for Screen-Reader Users

Sharif, A., Zhang, A. M., Reinecke, K., & Wobbrock, J. O. (2023) · 20th International Web for All Conference · doi:10.1145/3587281.3587284 · Cited by 21 · see citing works

Making it easier for older people to talk to smart homes: the effect of early help prompts

Wolters, K. M., Engelbrecht, K.-P., Gödde, F., Möller, S., Naumann, A., & Schleicher, R. (2010) · Universal Access in the Information Society · doi:10.1007/s10209-009-0184-x · Cited by 18 · see citing works

Talk like me: Exploring the feedback speech rate regulation strategy of the voice user interface for elderly people

Wang, J., Yang, S., & Xu, Z. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1119355 · Cited by 12 · see citing works

When Automation Fails: Examining the Effect of a Verbal Recovery Strategy on User Experience in Automated Driving

Xu, Z., Wang, G., Zhai, S., & Liu, P. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2023.2176986 · Cited by 12 · see citing works