Enhancing user experience with conversational agent for movie recommendation: Effects of self-disclosure and reciprocity

User Acceptance of Information Technology: Toward A Unified View1

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works

The commitment-trust theory of relationship marketing

Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355 · see citing works

The norm of reciprocity: A preliminary statement

Gouldner, A. W. (1960) · American Sociological Review · doi:10.2307/2092623 · Cited by 12,001 · see citing works

The DeLone and McLean Model of Information Systems Success: A Ten-Year Update

(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791 · see citing works

Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works

Trust in Automation: Designing for Appropriate Reliance

Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.1.50_30392 · Cited by 6,605 · see citing works

A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479 · see citing works

Extrinsic and Intrinsic Motivation to Use Computers in the Workplace ¹

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · see citing works

Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model

(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715 · see citing works

The media equation: how people treat computers, television, and new media like real people and places

(1997) · Choice Reviews Online · doi:10.5860/choice.34-3702 · Cited by 4,870 · see citing works

Machines and Mindlessness: Social Responses to Computers

Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022 · see citing works

User Acceptance of Hedonic Information Systems1

van der Heijden, H. (2004) · MIS Quarterly · doi:10.2307/25148660 · Cited by 3,850 · see citing works

Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior

Koufaris, M. (2002) · Information Systems Research · doi:10.1287/isre.13.2.205.83 · Cited by 3,205 · see citing works

SOME EXPLORATIONS IN INITIAL INTERACTION AND BEYOND: TOWARD A DEVELOPMENTAL THEORY OF INTERPERSONAL COMMUNICATION

BERGER, C. R., & CALABRESE, R. J. (1975) · Human Communication Research · doi:10.1111/j.1468-2958.1975.tb00258.x · Cited by 3,006 · see citing works

Untitled work

(1973) · Medical Entomology and Zoology · Cited by 2,836 · see citing works

Relationships between Providers and Users of Market Research: The Dynamics of Trust within and between Organizations

Moorman, C., Zaltman, G., & Deshpande, R. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900303 · Cited by 1,901 · see citing works

Development of an instrument measuring user satisfaction of the human-computer interface

Chin, J. P., Diehl, V. A., & Norman, L. (1988) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/57167.57203 · Cited by 1,631 · see citing works

Self-disclosure and liking: A meta-analytic review

Collins, N. L., & Miller, L. C. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.3.457 · Cited by 1,621 · see citing works

Factors influencing the usage of websites: the case of a generic portal in The Netherlands

van der Heijden, H. (2003) · Information & Management · doi:10.1016/s0378-7206(02)00079-4 · Cited by 1,425 · see citing works

Establishing and maintaining long-term human-computer relationships

Bickmore, T. W., & Picard, R. W. (2005) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1067860.1067867 · Cited by 1,333 · see citing works

A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling

Henseler, J., & Chin, W. W. (2010) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510903439003 · Cited by 1,240 · see citing works

Trust, self-confidence, and operators' adaptation to automation

Lee, J. D., & Moray, N. (1994) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1994.1007 · Cited by 932 · see citing works

The Relationship Closeness Inventory: Assessing the closeness of interpersonal relationships.

Berscheid, E., Snyder, M., & Omoto, A. M. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.5.792 · Cited by 899 · see citing works

Trust In and Adoption of Online Recommendation Agents

Benbasat, I., & Wang, W. (2005) · Journal of the Association for Information Systems · doi:10.17705/1jais.00065 · Cited by 847 · see citing works

Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers

Moon, Y. (2000) · Journal of Consumer Research · doi:10.1086/209566 · Cited by 842 · see citing works

Trust between humans and machines, and the design of decision aids

Muir, B. M. (1987) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(87)80013-5 · Cited by 767 · see citing works

Similarities and differences between human–human and human–automation trust: an integrative review

Madhavan, P., & Wiegmann, D. A. (2007) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220500337708 · Cited by 577 · see citing works

The interpersonal process model of intimacy in marriage: a daily-diary and multilevel modeling approach.

Laurenceau, J.-P., Barrett, L. F., & Rovine, M. J. (2005) · Journal of Family Psychology · doi:10.1037/0893-3200.19.2.314 · Cited by 564 · see citing works

Extending the Technology Acceptance Model to assess automation

Ghazizadeh, M., Lee, J. D., & Boyle, L. N. (2011) · Cognition Technology & Work · doi:10.1007/s10111-011-0194-3 · Cited by 498 · see citing works

Creating Rapport with Virtual Agents

Gratch, J., Wang, N., Gerten, J., Fast, E., & Duffy, R. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74997-4_12 · Cited by 419 · see citing works

Humans: Still Vital After All These Years of Automation

Parasuraman, R., & Wickens, C. D. (2008) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872008x312198 · Cited by 401 · see citing works

A Partial Test and Development of the DeLone and McLean Model of IS Success.

Seddon, P. B., & Kiew, M.-Y. (1994) · Cited by 381 · see citing works

Self-disclosure : origins, patterns, and implications of openness in interpersonal relationships

Chelune, G. J. (1979) · Jossey-Bass eBooks · Cited by 297 · see citing works

Taking turns: Reciprocal self-disclosure promotes liking in initial interactions

Sprecher, S., Treger, S., Wondra, J. D., Hilaire, N. M., & Wallpe, K. (2013) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2013.03.017 · Cited by 293 · see citing works

Self-disclosure : theory, research, and therapy

Derlega, V. J., & Berg, J. H. (1987) · Plenum Press eBooks · Cited by 279 · see citing works

Self-disclosure and other-cathexis.

Jourard, S. M. (1959) · Journal of Abnormal & Social Psychology · doi:10.1037/h0041640 · Cited by 268 · see citing works

“My Roomba Is Rambo”: Intimate Home Appliances

Sung, J.-Y., Guo, L., Grinter, R. E., & Christensen, H. I. (2007) · Springer eBooks · doi:10.1007/978-3-540-74853-3_9 · Cited by 219 · see citing works

Self-Disclosing Communication

Pearce, W. B., & Sharp, S. M. (1973) · Journal of Communication · doi:10.1111/j.1460-2466.1973.tb00958.x · Cited by 204 · see citing works

Enjoyment intention to use and actual use of a conversational robot by elderly people

Heerink, M., Kröse, B., Wielinga, B., & Evers, V. (2008) · Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction · doi:10.1145/1349822.1349838 · Cited by 170 · see citing works

My roomba is rambo: Intimate home appliances

Sung, J.-Y., Guo, L., Grinter, R. E., & Christensen, H. I. (2007) · Cited by 163 · see citing works

Modeling the acceptance of socially interactive robotics

Shin, D., & Choo, H. (2011) · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · doi:10.1075/is.12.3.04shi · Cited by 133 · see citing works

Tell me more designing HRI to encourage more trust, disclosure, and companionship

Martelaro, N., Nneji, V. C., Ju, W., & Hinds, P. (2016) · 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2016.7451750 · Cited by 124 · see citing works

Privacy Concerns and Levels of Information Exchange: An Empirical Investigation of Intended e-Services Use

Dinev, T., & Hart (2006) · e-Service Journal · doi:10.2979/esj.2006.4.3.25 · Cited by 102 · see citing works

Themes in the Study of Self-Disclosure

Berg, J. H., & Derlega, V. J. (1987) · Springer eBooks · doi:10.1007/978-1-4899-3523-6_1 · Cited by 87 · see citing works

Predicting user satisfaction, strain and system usage of employee self-services

Konradt, U., Christophersen, T., & Schäffer-Külz, U. G. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.07.001 · Cited by 74 · see citing works

Social and moral relationships with robotic others?

Kahn, P. H., Freier, N. G., Friedman, B., Severson, R. L., & Feldman, E. N. (2005) · IEEE RO-MAN · doi:10.1109/roman.2004.1374819 · Cited by 69 · see citing works

Constructing social systems through computer-mediated communication

Becker, B., & Mark, G. (1999) · Virtual Reality · doi:10.1007/bf01434995 · Cited by 47 · see citing works

Believable Bots: Can Computers Play Like People?

Hingston, P. (2012) · Springer eBooks · doi:10.1007/978-3-642-32323-2 · Cited by 35 · see citing works

A Preference-Based Recommender System

Satzger, B., Endres, M., & Kießling, W. (2006) · Lecture notes in computer science · doi:10.1007/11823865_4 · Cited by 22 · see citing works

Intelligent Virtual Agents

Pélachaud, C., Pelé, D., Martin, J.-C., Karpouzis, K., Chollet, G., & André, E. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74997-4 · Cited by 22 · see citing works

Disclosure reciprocity and liking as a function of gender and personalism

Taylor, D. A., & Hinds, M. (1985) · Sex Roles · doi:10.1007/bf00287824 · Cited by 18 · see citing works

Wizard of Oz Experiments and Companion Dialogues

Bradley, J., Benyon, D., Mival, O., & Webb, N. (2010) · Electronic workshops in computing · doi:10.14236/ewic/hci2010.16 · Cited by 14 · see citing works

Embodied Conversational Agent Avatars in Virtual Worlds: Making Today’s Immersive Environments More Responsive to Participants

Morie, J. F., Chance, E., Haynes, K., & Rajpurohit, D. (2012) · Springer eBooks · doi:10.1007/978-3-642-32323-2_4 · Cited by 11 · see citing works

From Sit-Forward to Lean-Back: Using a Mobile Device to Vary Interactive Pace

Jones, M. H., Jain, P., Buchanan, G. R., & Marsden, G. (2003) · Research Commons (University of Waikato) · Cited by 5 · see citing works

Rethinking the Human–Agent Relationship: Which Social Cues Do Interactive Agents Really Need to Have?

Weiss, A., & Tscheligi, M. (2012) · Springer eBooks · doi:10.1007/978-3-642-32323-2_1 · Cited by 4 · see citing works

E-Commerce and Web Technologies

Bauknecht, K., Pröll, B., & Werthner, H. (2006) · Lecture notes in computer science · doi:10.1007/11823865 · Cited by 3 · see citing works

Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale

Wang, B., Rau, P.-L. P., & Yuan, T. (2023) · Behaviour & Information Technology · doi:10.1080/0144929x.2022.2072768 · Cited by 1,036 · see citing works

I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents

Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101473 · Cited by 1,100 · see citing works

Chatbot e-service and customer satisfaction regarding luxury brands

Chung, M., Ko, E., Joung, H., & Kim, S. J. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.004 · Cited by 1,005 · see citing works

What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry

Pelau, C., Dabija, D.-C., & Ene, I. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106855 · Cited by 889 · see citing works

An Emerging Theory of Avatar Marketing

Miao, F., Kozlenkova, I. V., Wang, H., Xie, T., & Palmatier, R. W. (2022) · Journal of Marketing · doi:10.1177/0022242921996646 · Cited by 688 · see citing works

A Taxonomy of Social Cues for Conversational Agents

Feine, J., Gnewuch, U., Morana, S., & Maedche, A. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.07.009 · Cited by 586 · 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

A Survey on Conversational Recommender Systems

Jannach, D., Manzoor, A., Cai, W., & Chen, L. (2022) · ACM Computing Surveys · doi:10.1145/3453154 · Cited by 521 · see citing works

How social presence influences impulse buying behavior in live streaming commerce? The role of S-O-R theory

Ming, J., Jianqiu, Z., Bilal, M., Akram, U., & Fan, M. (2021) · International Journal of Web Information Systems · doi:10.1108/ijwis-02-2021-0012 · Cited by 476 · see citing works

Artificial intelligence empowered conversational agents: A systematic literature review and research agenda

Mariani, M. M., Hashemi, N., & Wirtz, J. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113838 · Cited by 378 · see citing works

"I Hear You, I Feel You": Encouraging Deep Self-disclosure through a Chatbot

Lee, Y.-C., Yamashita, N., Huang, Y., & Fu, W. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376175 · Cited by 339 · see citing works

“In A.I. we trust?” The effects of parasocial interaction and technopian versus luddite ideological views on chatbot-based customer relationship management in the emerging “feeling economy”

Youn, S., & Jin, S. A. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106721 · Cited by 344 · see citing works

AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior

Jiang, H., Cheng, Y., Yang, J., & Gao, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107329 · Cited by 362 · see citing works

Trust me, if you can: a study on the factors that influence consumers’ purchase intention triggered by chatbots based on brain image evidence and self-reported assessments

Yen, C., & Chiang, M.-C. (2021) · Behaviour & Information Technology · doi:10.1080/0144929x.2020.1743362 · Cited by 297 · see citing works

The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents

Borsci, S., Malizia, A., Schmettow, M., van der Velde, F., Tariverdiyeva, G., Balaji, D., & Chamberlain, A. (2022) · Personal and Ubiquitous Computing · doi:10.1007/s00779-021-01582-9 · Cited by 266 · see citing works

Artificial Intelligence and the New Forms of Interaction: Who Has the Control When Interacting with a Chatbot?

Pizzi, G., Scarpi, D., & Pantano, E. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.11.006 · Cited by 265 · see citing works

Creepiness: Its antecedents and impact on loyalty when interacting with a chatbot

Rajaobelina, L., Prom Tep, S., Arcand, M., & Ricard, L. (2021) · Psychology & Marketing · doi:10.1002/mar.21548 · Cited by 252 · see citing works

Future directions for chatbot research: An interdisciplinary research agenda

Følstad, A., Araujo, T., Law, E. L.-C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., Baez, M., Laban, G., McAllister, P., Ischen, C., et al. (2021) · Computing · doi:10.1007/s00607-021-01016-7 · Cited by 247 · see citing works

Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis

Pantano, E., & Pizzi, G. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102096 · Cited by 262 · see citing works

Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design

Haugeland, I. K. F., Følstad, A., Taylor, C., & Bjørkli, C. A. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102788 · Cited by 235 · see citing works

Factors influencing users' adoption and use of conversational agents: A systematic review

Ling, E. C., Tussyadiah, I. P., Tuomi, A., Stienmetz, J. L., & Ioannou, A. (2021) · Psychology and Marketing · doi:10.1002/mar.21491 · Cited by 200 · see citing works

Designing a Chatbot as a Mediator for Promoting Deep Self-Disclosure to a Real Mental Health Professional

Lee, Y., Yamashita, N., & Huang, Y. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3392836 · Cited by 195 · see citing works

HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving

Machorro-Cano, I., Alor‐Hernández, G., Paredes‐Valverde, M. A., Rodríguez-Mazahua, L., Sánchez-Cervantes, J. L., & Olmedo-Aguirre, J. O. (2020) · Energies · doi:10.3390/en13051097 · Cited by 176 · see citing works

Investigating student acceptance of an academic advising chatbot in higher education institutions

Bilquise, G., Ibrahim, S., & Salhieh, S. M. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12076-x · Cited by 208 · see citing works

Understanding key drivers affecting students’ use of artificial intelligence-based voice assistants

Shamsi, J. H. A., Al‐Emran, M., & Shaalan, K. F. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10947-3 · Cited by 185 · see citing works

Hey Alexa: examining the effect of perceived socialness in usage intentions of AI assistant-enabled smart speaker

Hsieh, S. H., & Lee, C. T. (2021) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-11-2019-0179 · Cited by 150 · see citing works

Comparing artificial intelligence and human coaching goal attainment efficacy

Terblanche, N. H. D., Molyn, J., de Haan, E., & Nilsson, V. O. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270255 · Cited by 154 · see citing works

Anthropomorphic Information Systems

Pfeuffer, N., Benlian, A., Gimpel, H., & Hinz, O. F. (2019) · Business & Information Systems Engineering · doi:10.1007/s12599-019-00599-y · Cited by 150 · see citing works

The role of individual differences on perceptions of wearable fitness device trust, usability, and motivational impact

Rupp, M. A., Michaelis, J. R., McConnell, D. S., & Smither, J. A.-A. (2018) · Applied Ergonomics · doi:10.1016/j.apergo.2018.02.005 · Cited by 144 · see citing works

Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire

Biduski, D., Bellei, E. A., Rodriguez, J. P. M., Zaina, L. A. M., & Marchi, A. C. B. D. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106169 · Cited by 144 · see citing works

Effect of AI chatbot emotional disclosure on user satisfaction and reuse intention for mental health counseling: a serial mediation model

Park, G., Chung, J., & Lee, S. (2022) · Current Psychology · doi:10.1007/s12144-022-03932-z · Cited by 153 · see citing works

Avatars in live streaming commerce: The influence of anthropomorphism on consumers' willingness to accept virtual live streamers

Chen, H., Shao, B., Yang, X., Kang, W., & Fan, W. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108216 · Cited by 146 · see citing works

The Effects of Chatbot Service Recovery With Emotion Words on Customer Satisfaction, Repurchase Intention, and Positive Word-Of-Mouth

Yun, J., & Park, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.922503 · Cited by 157 · see citing works

Chatbots’ effectiveness in service recovery

Agnihotri, A., & Bhattacharya, S. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102679 · Cited by 135 · see citing works

Designing Anthropomorphic Enterprise Conversational Agents

Diederich, S., Brendel, B., & Kolbe, L. M. (2020) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00639-y · Cited by 127 · see citing works

The dark sides of AI personal assistant: effects of service failure on user continuance intention

Sun, Y., Li, S., & Yu, L. (2021) · Electronic Markets · doi:10.1007/s12525-021-00483-2 · Cited by 133 · see citing works

Can we trust a chatbot like a physician? A qualitative study on understanding the emergence of trust toward diagnostic chatbots

Seitz, L., Bekmeier‐Feuerhahn, S., & Gohil, K. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102848 · Cited by 117 · see citing works

Collaborating with technology-based autonomous agents

Seeber, I., Waizenegger, L., Seidel, S., Morana, S., Benbasat, I., & Lowry, P. (2020) · Internet Research · doi:10.1108/intr-12-2019-0503 · Cited by 68 · see citing works

Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of expectation confirmation model and antecedents of artificial intelligence enabled digital banking

Alnaser, F. M., Rahi, S., Alghizzawi, M., & Ngah, A. H. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18930 · Cited by 159 · see citing works

Exploring chatbot trust: Antecedents and behavioural outcomes

Alagarsamy, S., & Mehrolia, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16074 · Cited by 126 · see citing works

Therapeutic Potential of Social Chatbots in Alleviating Loneliness and Social Anxiety: Quasi-Experimental Mixed Methods Study

Kim, M., Lee, S., Kim, S., Heo, J.-I., Lee, S., Shin, Y., Cho, C., & Jung, D. (2025) · Journal of Medical Internet Research · doi:10.2196/65589 · Cited by 117 · see citing works

A Longitudinal Study of Self-Disclosure in Human–Chatbot Relationships

Skjuve, M. B., Følstad, A., & Brandtzæg, P. B. (2023) · Interacting with Computers · doi:10.1093/iwc/iwad022 · Cited by 96 · see citing works

Human vs. machine-like representation in chatbot mental health counseling: the serial mediation of psychological distance and trust on compliance intention

Park, G., Chung, J., & Lee, S. (2023) · Current Psychology · doi:10.1007/s12144-023-04653-7 · Cited by 95 · see citing works

When a Chatbot Disappoints You: Expectancy Violation in Human-Chatbot Interaction in a Social Support Context

Rheu, M., Dai, Y. H., Meng, J., & Peng, W. (2024) · Communication Research · doi:10.1177/00936502231221669 · Cited by 91 · see citing works

“How mAy I help you today?” The use of AI chatbots in small family businesses and the moderating role of customer affective commitment

Rizomyliotis, I., Kastanakis, M. N., Giovanis, A., Konstantoulaki, K., & Kostopoulos, I. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.08.035 · Cited by 85 · see citing works

Talking to a bot or a wall? How chatbots vs. human agents affect anticipated communication quality

Zhou, Q., Li, B., Han, L., & Jou, M. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107674 · Cited by 93 · see citing works

User perception and self-disclosure towards an AI psychotherapy chatbot according to the anthropomorphism of its profile picture

Lee, J., & Lee, D. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102052 · Cited by 87 · see citing works

Toward a design theory for virtual companionship

Strohmann, T., Siemon, D., Khosrawi-Rad, B., & Robra-Bissantz, S. (2022) · Human-Computer Interaction · doi:10.1080/07370024.2022.2084620 · Cited by 89 · see citing works

Digital Confessions: The Willingness to Disclose Intimate Information to a Chatbot and its Impact on Emotional Well-Being

Croes, E. A. J., Antheunis, M. L., van der Lee, C., & de Wit, J. (2024) · Interacting with Computers · doi:10.1093/iwc/iwae016 · Cited by 87 · see citing works

Conversational Recommender Systems and natural language:

Iovine, A., Narducci, F., & Semeraro, G. M. (2020) · Decision Support Systems · doi:10.1016/j.dss.2020.113250 · Cited by 80 · see citing works

Examining the psychological process of developing consumer-brand relationships through strategic use of social media brand chatbots

Lin, J.-S., & Wu, L. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107488 · Cited by 86 · see citing works

Computer, Whom Should I Hire? – Acceptance Criteria for Artificial Intelligence in the Recruitment Process

Laurim, V., Arpaci, S., Prommegger, B., & Krcmar, H. (2021) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2021.668 · Cited by 78 · see citing works

Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future

Elshan, E., Zierau, N., Engel, C., Janson, A., & Leimeister, J. M. (2022) · Information Systems Frontiers · doi:10.1007/s10796-021-10230-9 · Cited by 80 · see citing works

Citizen preferences and government chatbot social characteristics: Evidence from a discrete choice experiment

Ju, J., Meng, Q., Sun, F., Liu, L., & Singh, S. R. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2022.101785 · Cited by 77 · see citing works

AI or Human? The Effect of Streamer Types on Consumer Purchase Intention in Live Streaming

Gao, J., Zhao, X., Zhai, M., Zhang, D., & Li, G. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2299900 · Cited by 77 · see citing works

Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots

Chaves, A. P., Egbert, J., Hocking, T. D., Doerry, E., & Gerosa, M. A. (2022) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3487193 · Cited by 87 · 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

Social cues and implications for designing expert and competent artificial agents: A systematic review

Liew, T. W., & Tan, S.-M. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101721 · Cited by 72 · see citing works

Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing

Hu, P., Gong, Y. Y., Lu, Y., & Ding, A. W. (2022) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2022.04.006 · Cited by 81 · see citing works

Understanding and Measuring User Experience in Conversational Interfaces

Kocaballi, A. B., Laranjo, L., & Coiera, E. (2019) · Interacting with Computers · doi:10.1093/iwc/iwz015 · Cited by 68 · see citing works

An Empirical Study on User Experience Evaluation and Identification of Critical UX Issues

Feng, L., & Wei, W. (2019) · Sustainability · doi:10.3390/su11082432 · Cited by 64 · see citing works

Evaluating conversational recommender systems

Jannach, D. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10229-x · Cited by 68 · see citing works

Charlie: A chatbot to improve the elderly quality of life and to make them more active to fight their sense of loneliness

Valtolina, S., & Hu, L. (2021) · Biannual Conference of the Italian SIGCHI Chapter (CHItaly) · doi:10.1145/3464385.3464726 · Cited by 63 · see citing works

Systematic Review of Contextual Suggestion and Recommendation Systems for Sustainable e-Tourism

Khan, H. U. R., Lim, C. K., Ahmed, M. F., Tan, K. L., & MOKHTAR, M. B. (2021) · Sustainability · doi:10.3390/su13158141 · Cited by 60 · see citing works

Chatbots in the frontline: drivers of acceptance

Aslam, W., Siddiqui, D. A., Arif, I., & Farhat, K. (2022) · Kybernetes · doi:10.1108/k-11-2021-1119 · Cited by 63 · see citing works

Avatars and Embodied Agents in Experimental Information Systems Research: A Systematic Review and Conceptual Framework

Aljaroodi, H. M., Adam, M. T. P., Chiong, R., & Teubner, T. (2019) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v23i0.1841 · Cited by 61 · see citing works

Measuring User Experience in Conversational Interfaces: A Comparison of Six Questionnaires

Kocaballi, A. B., Laranjo, L., & Coiera, E. W. (2018) · Electronic workshops in computing · doi:10.14236/ewic/hci2018.21 · Cited by 59 · see citing works

Birds of a feather flock together: matched personality effects of product recommendation chatbots and users

Jin, E., & Eastin, M. S. (2022) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-03-2022-0089 · Cited by 61 · 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

An Empirical Study of Self-Disclosure in Spoken Dialogue Systems

Ravichander, A., & Black, A. W. (2018) · Annual Meeting of the Special Interest Group on Discourse and Dialogue · doi:10.18653/v1/w18-5030 · Cited by 58 · see citing works

A Socially-Aware Conversational Recommender System for Personalized Recipe Recommendations

Pécune, F., Callebert, L., & Marsella, S. (2020) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3406499.3415079 · Cited by 56 · see citing works

Interacting with Chatbots: Message type and consumers' control

Whang, J.-B., Song, J. H., Lee, J., & Choi, B. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.08.012 · Cited by 63 · see citing works

To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support System

Gupta, A., Basu, D., Ghantasala, R., Qiu, S., & Gadiraju, U. (2022) · International World Wide Web Conference (WWW) · doi:10.1145/3485447.3512248 · Cited by 54 · see citing works

One pie, many recipes: The role of artificial intelligence chatbots in influencing Malaysian solo traveler purchase intentions

Chang, J. Y., Cheah, J., Lim, X., & Morrison, A. M. (2023) · Tourism Management Perspectives · doi:10.1016/j.tmp.2023.101191 · Cited by 46 · see citing works

From speaking like a person to being personal: The effects of personalized, regular interactions with conversational agents

Araujo, T., & Bol, N. (2023) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2023.100030 · Cited by 56 · see citing works

Politeness in Human–Robot Interaction: A Multi-Experiment Study with Non-Humanoid Robots

Kumar, S., Itzhak, E., Edan, Y., Nimrod, G., Sarne‐Fleischmann, V., & Tractinsky, N. (2022) · International Journal of Social Robotics · doi:10.1007/s12369-022-00911-z · Cited by 52 · see citing works

Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences

Ta, V. P., Boatfield, C., Wang, X., DeCero, E., Krupica, I. C., Rasof, S. D., Motzer, A., & Pedryc, W. M. (2022) · JMIR Human Factors · doi:10.2196/38876 · Cited by 58 · see citing works

A Model of Social Explanations for a Conversational Movie Recommendation System

Pécune, F., Murali, S., Tsai, V., Matsuyama, Y., & Cassell, J. (2019) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3349537.3351899 · Cited by 53 · see citing works

Instrumental Usability and Effective User Experience: Interwoven Drivers and Outcomes of Human-Computer Interaction

Kivijärvi, H., & Pärnänen, K. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.2016236 · Cited by 55 · see citing works

Exploring the Key Factors Influencing College Students’ Willingness to Use AI Coding Assistant Tools: An Expanded Technology Acceptance Model

Pan, Z., Xie, Z., Liu, T., & Xia, T. (2024) · Systems · doi:10.3390/systems12050176 · Cited by 48 · see citing works

Racial mirroring effects on human-agent interaction in psychotherapeutic conversations

Liao, Y., & He, J. (2020) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3377325.3377488 · Cited by 48 · see citing works

Designing for Health ChatbotsPreprint

Fadhil, A., & Schiavo, G. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.09022 · Cited by 61 · see citing works

A systematic review of functions and design features of in-vehicle agents

Lee, S. C., & Jeon, M. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102864 · Cited by 45 · see citing works

Do Anthropomorphic Chatbots Increase Counseling Satisfaction and Reuse Intention? The Moderated Mediation of Social Rapport and Social Anxiety

Park, G., Lee, S., & Chung, J. (2023) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2022.0157 · Cited by 51 · see citing works

People’s Interactions with Cognitive Assistants for Enhanced Performances

Siddike, M. A. K., Spohrer, J., Demirkan, H., & Kohda, Y. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.205 · Cited by 45 · see citing works

What Drives Consumers’ Decisions to Use Intelligent Agent Technologies? A Systematic Review

Sidlauskiene, J. (2021) · Journal of Internet Commerce · doi:10.1080/15332861.2021.1961192 · Cited by 43 · see citing works

Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts

Davis, R. L., Wambsganß, T., Jiang, W., Kim, K. G., Käser, T., & Dillenbourg, P. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642908 · Cited by 48 · see citing works

Chatbot Acceptance: A Latent Profile Analysis on Individuals' Trust in Conversational Agents

Müller, L., Mattke, J., Maier, C., Weitzel, T., & Graser, H. (2019) · Proceedings of the 2019 on Computers and People Research Conference · doi:10.1145/3322385.3322392 · 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

Unveiling the potential of digital human avatars in modern marketing strategies

Oliveira, F., Belitski, M., KAKABADSE, N. K., & Theodorakopoulos, N. (2024) · International Marketing Review · doi:10.1108/imr-12-2023-0339 · Cited by 42 · see citing works

Genie in the Bottle: Anthropomorphized Perceptions of Conversational Agents

Kuzminykh, A., Sun, J., Govindaraju, N., Avery, J., & Lank, E. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376665 · Cited by 41 · see citing works

“My Name is Alexa. What’s Your Name?” The Impact of Reciprocal Self-Disclosure on Post-Interaction Trust in Conversational Agents

Saffarizadeh, K., University of Texas at Arlington, Keil, M., Georgia State University, Boodraj, M., Boise State University, Alashoor, T., & University of Navarra (2024) · Journal of the Association for Information Systems · doi:10.17705/1jais.00839 · Cited by 41 · see citing works

Immunizing with information – Inoculation messages against conversational agents’ response failures

Weiler, S., Matt, C., & Heß, T. (2021) · Electronic Markets · doi:10.1007/s12525-021-00509-9 · Cited by 41 · see citing works

On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work.

Diederich, S., Brendel, A., & Kolbe, L. M. (2019) · Journal of the Association for Information Systems · Cited by 40 · see citing works

Designing Persuasive Food Conversational Recommender Systems With Nudging and Socially-Aware Conversational Strategies

Pécune, F., Callebert, L., & Marsella, S. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.733835 · Cited by 39 · see citing works

How AI Literacy Affects Students’ Educational Attainment in Online Learning: Testing a Structural Equation Model in Higher Education Context

Jingyu, X., Alibakhshi, G., Zamanpour, A., Zarei, M. A., Sherafat, S., & Behzadpoor, S.-F. (2024) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v25i3.7720 · Cited by 58 · see citing works

Effects of Autonomous Driving Context and Anthropomorphism of in-Vehicle Voice Agents on Intimacy, Trust, and Intention to Use

Park, D., Lee, Y., & Kim, Y. M. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2262271 · Cited by 37 · see citing works

Conversational presentation mode increases credibility judgements during information search with ChatGPT

Anderl, C., Klein, S. H., Sarigül, B., Schneider, F. M., Han, J., Fiedler, P. L., & Utz, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-67829-6 · Cited by 38 · see citing works

Intimacy perception : Does the artificial or human nature of the interlocutor matter ?

Potdevin, D., Sabouret, N., & Clavel, C. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102464 · Cited by 38 · see citing works

How to Guide Task-oriented Chatbot Users, and When: A Mixed-methods Study of Combinations of Chatbot Guidance Types and Timings

Yeh, S.-F., Wu, M.-H., Chen, T.-Y., Lin, Y.-C., Chang, X.-J., Chiang, Y.-H., & Chang, Y.-J. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501941 · Cited by 38 · see citing works

Personalized conversational recommender system in a movie platform: the impact on user satisfaction

Feliciotti, F. F. (2019) · Research Repository (Delft University of Technology)

A Model of Social Explanations for a Conversational Movie Recommendation System

Pécune, F., Murali, S., Tsai, V., Matsuyama, Y., & Cassell, J. (2019) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3349537.3351899 · Cited by 53 · see citing works

User Evaluation of a Conversational Recommender System

(2008)

Key Qualities of Conversational Recommender Systems: From Users’ Perspective

Jin, Y., Chen, L., Cai, W., & Pu, P. (2021) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3472307.3484164 · Cited by 22 · see citing works

Don’t Take it Personally: Resistance to Individually Targeted Recommendations from Conversational Recommender Agents

Laban, G., & Araujo, T. (2022) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3527188.3561929 · Cited by 14 · see citing works