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UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library

Zheng, Q., Tang, Y., Liu, Y., Liu, W., & Huang, Y. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501855 · Cited by 114 · see citing works

Towards User-Centric Guidelines for Chatbot Conversational Design

Silva, G. R. S., & Canedo, E. D. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2118244 · Cited by 111 · see citing works

A Conversational Agent Framework with Multi-modal Personality Expression

Sonlu, S., Güdükbay, U., & Durupınar, F. (2021) · ACM Transactions on Graphics · doi:10.1145/3439795 · Cited by 90 · see citing works

Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging

Han, X., Zhou, M., Turner, M. J., & YEH, T. P. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445569 · Cited by 89 · see citing works

Is it the best for barista robots to serve like humans? A multidimensional anthropomorphism perspective

Kim, T., Lee, O.-K. D., & Kang, J. M. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103358 · Cited by 88 · see citing works

Dissociation Between Users’ Explicit and Implicit Attitudes Toward Artificial Intelligence: An Experimental Study

Fietta, V., Zecchinato, F., Stasi, B. D., Polato, M., & Monaro, M. (2022) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2021.3125280 · Cited by 81 · see citing works

Eliciting and Analysing Users’ Envisioned Dialogues with Perfect Voice Assistants

Volkel, S. T., Buschek, D., Eiband, M., Cowan, B. R., & Hussmann, H. (2021) · International Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445536 · Cited by 95 · see citing works

Understanding the impact of control levels over emotion-aware chatbots

Benke, I., Gnewuch, U., & Maedche, A. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107122 · Cited by 76 · see citing works

Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study

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Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

Chattopadhyay, D., Ma, T., Sharifi, H., & Martyn-Nemeth, P. A. (2020) · Journal of Medical Internet Research · doi:10.2196/18839 · Cited by 66 · see citing works

Guidance and Counselling in Education

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Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach

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Submitting surveys via a conversational interface: An evaluation of user acceptance and approach effectiveness

Celino, I., & Calegari, G. R. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102410 · Cited by 66 · see citing works

Towards Augmented Reality Driven Human-City Interaction: Current Research on Mobile Headsets and Future Challenges

Lee, L., Braud, T., Hosio, S. J., & Hui, P. (2021) · ACM Computing Surveys · doi:10.1145/3467963 · Cited by 64 · see citing works

Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior

Kuhail, M. A., Thomas, J., Alramlawi, S., Shah, S. J. H., & Thornquist, E. (2022) · Informatics · doi:10.3390/informatics9040081 · Cited by 59 · see citing works

Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access

Xiao, Z., Liao, Q. V., Zhou, M., Grandison, T., & Li, Y. (2023) · Proceedings of the 28th International Conference on Intelligent User Interfaces · doi:10.1145/3581641.3584031 · Cited by 59 · see citing works

Self-disclosure to conversational AI: a literature review, emergent framework, and directions for future research

Papneja, H., & Yadav, N. (2024) · Personal and Ubiquitous Computing · doi:10.1007/s00779-024-01823-7 · Cited by 73 · see citing works

Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach

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Design and evaluation of intelligent agent prototypes for assistance with focus and productivity at work

Grover, T., Rowan, K., Suh, J., McDuff, D., & Czerwinski, M. P. (2020) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3377325.3377507 · Cited by 54 · see citing works

Inform the Uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot

Xiao, Z., Li, T. W., Karahalios, K. G., & Sundaram, H. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581252 · Cited by 52 · see citing works

Semantic Technology and Anthropomorphism

Hsu, W.-C., & Lee, M.-H. (2023) · Journal of Global Information Management · doi:10.4018/jgim.318661 · Cited by 54 · see citing works

How to Trick AI: Users' Strategies for Protecting Themselves from Automatic Personality Assessment

Völkel, S. T., Häuslschmid, R., Werner, A., Hußmann, H., & Butz, A. M. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376877 · Cited by 52 · see citing works

The March of Chatbots into Recruitment: Recruiters’ Experiences, Expectations, and Design Opportunities

Koivunen, S., Ala-Luopa, S., Olsson, T., & Haapakorpi, A. (2022) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-022-09429-4 · Cited by 61 · see citing works

Does Chatbot Language Formality Affect Users’ Self-Disclosure?

Cox, S. R., & Ooi, W. T. (2022) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3543829.3543831 · Cited by 48 · see citing works

Metaphors in Voice User Interfaces: A Slippery Fish

Desai, S., & Twidale, M. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3609326 · Cited by 42 · see citing works

Discourse Behavior of Older Adults Interacting with a Dialogue Agent Competent in Multiple Topics

Razavi, S. Z., Schubert, L. K., Orden, K. A. V., Ali, M. R., Kane, B., & Hoque, M. E. (2022) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3484510 · Cited by 45 · see citing works

User Perceptions of Extraversion in Chatbots after Repeated Use

Völkel, S. T., Schoedel, R., Kaya, L., & Mayer, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502058 · Cited by 37 · see citing works

Effects of Smart Virtual Assistants' Gender and Language

Habler, F., Schwind, V., & Henze, N. (2019) · Mensch und Computer (MuC) · doi:10.1145/3340764.3344441 · Cited by 36 · see citing works

Investigating how speech and animation realism influence the perceived personality of virtual characters and agents

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Artificial intelligence (AI) agents and the future of customer loyalty

Bilgihan, A., Ostinelli, M., Zhang, Y., & Lorenz, M. P. (2025) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-03-2025-0373 · Cited by 40 · see citing works

Exploring the Applicability of Artificial Intelligence in Recruitment and Selection Processes: A Focus on the Recruitment Phase

Hewage, A. (2023) · Journal of Human Resource and Sustainability Studies · doi:10.4236/jhrss.2023.113034 · Cited by 33 · see citing works

Examining User Preference for Agreeableness in Chatbots

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I Know This Looks Bad, But I Can Explain: Understanding When AI Should Explain Actions In Human-AI Teams

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Artificial intelligence psychological anthropomorphism: scale development and validation

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A social robot to deliver a psychotherapeutic treatment: Qualitative responses by participants in a randomized controlled trial and future design recommendations

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Exploring the application of LLM-based AI in UX design: an empirical case study of ChatGPT

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Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions

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Can You Trust the Black Box? The Effect of Personality Traits on Trust in AI-Enabled User Interfaces

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Let's teach Kibot: Discovering discussion patterns between student groups and two conversational agent designs

Nguyen, H. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13219 · Cited by 27 · see citing works

“I Want It That Way”: Exploring Users’ Customization and Personalization Preferences for Home Assistants

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The role of teachable agents’ personality traits on student-AI interactions and math learning

Lyu, B., Li, C., Li, H., Oh, H., Song, Y., Zhu, W., & Xing, W. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105314 · Cited by 25 · see citing works

Mapping the Design Space of Teachable Social Media Feed Experiences

Feng, K. J. K., Koo, X., Tan, L., Bruckman, A. S., McDonald, D. W., & Zhang, A. X. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642120 · Cited by 25 · see citing works

Jennifer for COVID-19: An NLP-Powered Chatbot Built for the People and by the People to Combat Misinformation

Li, Y., Grandison, T. W. A., Silveyra, P., Douraghy, A., Guan, X., Kieselbach, T., Li, C., & Zhang, H. (2020) · DiVA at Umeå University (Umeå University) · Cited by 22 · see citing works

Which One? Choosing Favorite Robot After Different Styles of Storytelling and Robots’ Conversation

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An Innovative Employment of Virtual Humans to Explore the Chess Personalities of Garry Kasparov and Other Class-A Players

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Conveying chatbot personality through conversational cues in social media messages

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Examining Consumer Impulsive Purchase Intention in Virtual AI Streaming: A S-O-R Perspective

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Effects of Embodiment and Personality in LLM-Based Conversational Agents

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Proactivity of Chatbots, Task Types and User’s Characteristics When Interacting with Artificial Intelligence (AI) Chatbots

Lim, J., & Hwang, W. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2446510 · Cited by 18 · see citing works

User Perceptions of an Intelligent Personal Assistant's Personality

Lopatovska, I., Korshakova, E., Brown, D., Li, Y., Min, J., Pasiak, A., & Zheng, K. (2021) · Conference on Human Information Interaction and Retrieval · doi:10.1145/3406522.3446018 · Cited by 16 · see citing works

Manipulating and Evaluating Levels of Personality Perceptions of Voice Assistants through Enactment-Based Dialogue Design

Völkel, S., Meindl, S., & Hussmann, H. (2021) · International Conference on Conversational User Interfaces · doi:10.1145/3469595.3469605 · Cited by 19 · see citing works

Chat or Tap? – Comparing Chatbots with ‘Classic’ Graphical User Interfaces for Mobile Interaction with Autonomous Mobility-on-Demand Systems

Flohr, L. A., Kalinke, S., Krüger, A., & Wallach, D. (2021) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3447526.3472036 · Cited by 16 · see citing works

Chatbot or Chat-Blocker: Predicting Chatbot Popularity before Deployment

Gao, M., Liu, X., Xu, A., & Akkiraju, R. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462147 · Cited by 16 · see citing works

Putting the “I” in Interaction: Interactive Interfaces Personalized to Individuals

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An Emotional Design Model for Future Smart Product Based on Grounded Theory

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How do avatar characteristics affect applicants' interactional justice perceptions in artificial intelligence‐based job interviews?

Min, Q., Sun, H., Wang, X., & Zhang, C. (2024) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12472 · Cited by 15 · see citing works

LanguageLogger: A Mobile Keyboard Application for Studying Language Use in Everyday Text Communication in the Wild

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Identifying Multimodal Context Awareness Requirements for Supporting User Interaction with Procedural Videos

Lin, G. E., Li, J. Y., Fazly, A., Pavlović, V., & Truong, K. N. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581006 · Cited by 13 · see citing works

Collecting Qualitative Data at Scale with Large Language Models: A Case Study

Cuevas, A., Scurrell, J. V., Brown, E. M., Entenmann, J., & Daepp, M. I. G. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3710947 · Cited by 23 · see citing works

Investigating Trust in Human-Machine Learning Collaboration: A Pilot Study on Estimating Public Anxiety from Speech

Tutul, A. A., Nirjhar, E. H., & Chaspari, T. (2021) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3462244.3479926 · Cited by 13 · see citing works

Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptions

Cox, S. R., Lee, Y., & Ooi, W. T. (2023) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3623809.3623875 · Cited by 14 · see citing works

Conversations with GUIs

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Personalised Chats with Voice Assistants

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Designing the Conversational Agent: Asking Follow-up Questions for Information Elicitation

Hu, J., Guo, J., Tang, N., Ma, X., Yao, Y., Yang, C., & Xu, Y. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637320 · Cited by 11 · see citing works

Relational AI: Facilitating Intergroup Cooperation with Socially Aware Conversational Support

Claggett, E. L., Kraut, R. E., & Shirado, H. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713757 · Cited by 11 · see citing works

Enthusiasts, Pragmatists, and Skeptics: Investigating Users’ Attitudes Towards Emotion- and Personality-Aware Voice Assistants across Cultures

Ma, Y., Abdelrahman, Y., Petz, B., Drewes, H., Alt, F., Hußmann, H., & Butz, A. M. (2022) · Mensch und Computer (MuC) · doi:10.1145/3543758.3543776 · Cited by 11 · see citing works

Personality Perceptions of Conversational Agents: A Task-Based Analysis Using Thai as the Conversational Language

Soonpipatskul, N., Pal, D., Watanapa, B., & Charoenkitkarn, N. (2023) · IEEE Access · doi:10.1109/access.2023.3311137 · Cited by 10 · see citing works

The interaction design of 3D virtual humans: A survey

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Toward an integrative approach to nonverbal personality detection: Connecting psychological and artificial intelligence research.

Cannata, D., Breil, S. M., Lepri, B., Back, M. D., & O’Hora, D. P. (2022) · Technology Mind and Behavior · doi:10.1037/tmb0000054 · Cited by 10 · see citing works

CASExplorer: A Conversational Academic and Career Advisor for College Students

Lee, T., Zhu, T., Liu, S. Z., Trac, L., Huang, Z., & Chen, Y. (2021) · International Symposium of Chinese CHI (Chinese CHI) · doi:10.1145/3490355.3490368 · Cited by 9 · see citing works

Towards Augmented Reality-driven Human-City Interaction: Current Research on Mobile Headsets and Future ChallengesPreprint

Lee, L., Braud, T., Hosio, S. J., & Hui, P. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.09207 · Cited by 9 · see citing works

Language Cues for Expressing Artificial Personality: A Systematic Literature Review for Conversational Agents

Dregger, A., Seifermann, M., & Oberweis, A. (2024) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3640794.3665559 · Cited by 8 · see citing works

Personality Trait Recognition Based on Smartphone Typing Characteristics in the Wild

Kovačević, N., Holz, C., Günther, T., Groß, M. H., & Wampfler, R. (2023) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2023.3253202 · Cited by 8 · see citing works

"I use video calling in all areas of my life": Understanding the Video Calling Experiences of Chronically Ill People

Curtis, H., Beneteau, E., Cutrell, E. B., Ford, D., Junuzovic, S., Paradiso, A., Tang, J. C., & Mott, M. E. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713193 · Cited by 7 · see citing works

Advancing Affective Intelligence in Virtual Agents Using Affect Control Theory

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Intelligent Interactive Technologies for Mental Health and Well-Being

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Towards Augmented Reality-driven Human-City Interaction: Current Research and Future Challenges.Preprint

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Synthetic patient and interview transcript creator: an essential tool for LLMs in mental health

Warner, A., LeDue, J. M., Cao, Y., Tham, J. C. W., & Murphy, T. H. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1625444 · Cited by 5 · see citing works

Twenty Years of Personality Computing: Threats, Challenges and Future Directions

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Assessing the impact of emojis in personality-imbued chatbots: insights from an academic advising perspective

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How do Conversational Agents Transform Qualitative Interviews? Exploration and Support of Researchers’ Needs in Interviews at Scale

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The Effect of Virtual Humans Making Verbal Communication Mistakes on Learners’ Perspectives of their Credibility, Reliability, and Trustworthiness

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Contradictory attitudes toward academic AI tools: The effect of awe-proneness and corresponding self-regulation

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Shaping the fairness journey: The roles of AI literacy, explanation, and interpersonal interaction in AI interviews

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Autonomous AI Agents for Multi-Platform Social Media Marketing: A Simultaneous Deployment Study

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The dangers of AI friendship: Adolescent mental health and ethical oversight

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From Affect Theoretical Foundations to Computational Models of Intelligent Affective Agents

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Using Robot Social Agency Theory to Understand Robots' Linguistic Anthropomorphism

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AI Mental Models & Trust: The Promises and Perils of Interaction Design

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Multimodal Interaction: Correlates of Learners’ Metacognitive Skill Training Negotiation Experience

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How the communication style of AI collaborators influences gig workers’ acceptance: from the mind-role fit perspective

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Confiding in and Listening to Virtual Agents: The Effect of PersonalityPreprint

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Getting virtually personal

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The Influence of Users’ Personality on the Perception of Intelligent Virtual Agents’ Personality and the Trust Within a Collaborative Context

Hanna, N., & Richards, D. (2015) · Communications in computer and information science · doi:10.1007/978-3-319-24804-2_3 · Cited by 15 · see citing works

The Effects of Virtual Agents' Characteristics on User Impressions and Language Use

Akbar, F., Grover, T., Mark, G. J., & Zhou, M. X. (2018) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3180308.3180365 · Cited by 6 · see citing works