The DOI matches its Crossref record; 60 of the 64 references it cites were found in a registry or an index.
Case study—Embodied virtual agents: An analysis on reasons for failure
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A study that appears to be in partial support of the findings of this study reported that too many anthropomorphic characteristics in a chatbot avatar set up high expectations, leading to user disappointment [61], thus supporting the idea that high expectations of functionality can lead to feelings of disappointment and frustration for participants.”
From A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study (2022) · cites this paper as [61]
Citations
Cites
Qualitative Data Analysis: An Expanded Sourcebook
(1994) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(05)80231-2 · Cited by 48,420
Qualitative research and evaluation methods
Patton, M. Q. (1980) · Cited by 35,637
A conceptual model of service quality and its implications for future research
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985) · Journal of Marketing · doi:10.1177/002224298504900403 · Cited by 21,645
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
Delivering quality service : balancing customer perceptions and expectations
Zeithaml, V., Parasuraman, A., & Berry, L. (1990) · Choice Reviews Online · doi:10.5860/choice.28-0390 · Cited by 4,417
The social psychology of telecommunications
Gray, G. (1977) · Telecommunications Policy · doi:10.1016/0308-5961(77)90016-7 · Cited by 3,486
Cognitive, Affective, and Attribute Bases of the Satisfaction Response
Oliver, R. L. (1993) · Journal of Consumer Research · doi:10.1086/209358 · Cited by 3,256
Kelman, H. C. (1961) · Public Opinion Quarterly · doi:10.1086/266996 · Cited by 2,181
The Adaptive Web, Methods and Strategies of Web Personalization
Brusilovsky, P., Kobsa, A., & Nejdl, W. (2007) · The Adaptive Web · doi:10.1007/978-3-540-72079-9 · Cited by 1,776
Bukimi no tani [the uncanny valley]
Mori, M. (1970) · Energy · Cited by 1,485
Flagged first, then by citations
4 of the 64 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Bickmore, T., 2002. Social dialogue is serious business. In: Proceedings of the CHI 2002 Workshop on Socially Adept Technologies, Minneapolis, MN.
- Keeling, 2008, Relationship with a byte? Attractions, interaction and intention for avatar use a retail website, Advances in Consumer Research, 35, 84
- Mori, 1970, The uncanny valley, Energy, 7, 33
Cited by
Sorted by citations
Human trust in artificial intelligence: Review of empirical research
Glikson, E., & Woolley, A. W. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0057 · Cited by 2,921
Consumers acceptance of artificially intelligent (AI) device use in service delivery
Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.008 · Cited by 1,437
Developing and validating a service robot integration willingness scale
Lu, L., Cai, R., & Gursoy, D. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.01.005 · Cited by 1,013
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
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
Steinhoff, L., Arli, D. I., Weaven, S. K., & Kozlenkova, I. V. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0621-6 · Cited by 421
Pizzi, G., Scarpi, D., & Pantano, E. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.11.006 · Cited by 265
Pantano, E., & Pizzi, G. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102096 · Cited by 282
A critical review of state‐of‐the‐art chatbot designs and applications
Luo, B., Lau, R. Y. K., Li, C., & Si, Y. (2021) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1434 · Cited by 266
Towards Designing Cooperative and Social Conversational Agents for Customer Service
Gnewuch, U., Morana, S., & Mädche, A. (2017) · Journal of the Association for Information Systems · Cited by 211
Unveiling the complexity of consumers’ intention to use service robots: An fsQCA approach
Chuah, S. H., Aw, E. C., & Yee, D. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106870 · Cited by 219
Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00704-3 · Cited by 204
The impact of online real-time interactivity on patronage intention: The use of avatars
Etemad‐Sajadi, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.045 · Cited by 169
Avatar marketing: a study on the engagement and authenticity of virtual influencers on Instagram
Silva, M. J. D. B., Delfino, L. D. O. R., Cerqueira, K. A., & Campos, P. D. O. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00966-w · Cited by 179
The acceptance of chatbots in an enterprise context – A survey study
Brachten, F., Kißmer, T., & Stieglitz, S. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102375 · Cited by 153
Goudey, A., & Bonnin, G. (2016) · Recherche et Applications en Marketing (English Edition) · doi:10.1177/2051570716643961 · Cited by 139
Busca, L., & Bertrandias, L. (2019) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2019.08.002 · Cited by 163
The effect of implementing chatbot customer service on stock returns: an event study analysis
Fotheringham, D., & Wiles, M. A. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00841-2 · Cited by 144
Mimoun, M. S. B., Poncin, I., & Garnier, M. (2016) · Information & Management · doi:10.1016/j.im.2016.11.008 · Cited by 132
Self-citationDesigning 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
Chérif, E., & Lemoine, J.-F. (2019) · Recherche et Applications en Marketing (English Edition) · doi:10.1177/2051570719829432 · Cited by 113
Tan, S.-M., & Liew, T. W. (2020) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2020.1722399 · Cited by 111
Employees' perceptions of chatbots in B2B marketing: Affordances vs. disaffordances
Lin, X., Shao, B., & Wang, X. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2021.11.016 · Cited by 102
Effects of Anthropomorphic Design Cues of Chatbots on Users’ Perception and Visual Behaviors
Chen, J., Guo, F., Ren, Z., Li, M., & Ham, J. R. C. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2193514 · Cited by 96
Dashed expectations in service experiences. Effects of robots human-likeness on customers’ responses
Grazzini, L., Viglia, G., & Nunan, D. (2023) · European Journal of Marketing · doi:10.1108/ejm-03-2021-0220 · Cited by 89
A theory of multiformat communication: mechanisms, dynamics, and strategies
Moffett, J. W., Folse, J. A. G., & Palmatier, R. W. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00750-2 · Cited by 84
Liew, T. W., Tan, S.-M., & Ismail, H. (2017) · Human-centric Computing and Information Sciences · doi:10.1186/s13673-017-0123-4 · Cited by 82
The impact of hedonic and utilitarian value of online avatars on e-service quality
Etemad‐Sajadi, R., & Ghachem, L. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.05.048 · Cited by 79
A valued agent: How ECAs affect website customers' satisfaction and behaviors
Mimoun, M. S. B., & Poncin, I. (2015) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.05.008 · Cited by 80
Self-citationMeasuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis
Feine, J., Morana, S., & Gnewuch, U. (2019) · Journal of the Association for Information Systems · Cited by 63
Consumer attitudes towards bloggers and paid blog advertisements: what’s new?
van Esch, P., Arli, D. I., Castner, J., Talukdar, N., & Northey, G. (2018) · Marketing Intelligence & Planning · doi:10.1108/mip-01-2018-0027 · Cited by 70
Believe in artificial intelligence? A user study on the chatGPT’s fake information impact.
Amaro, I., Barra, P., Greca, A. D., Francese, R., & Tucci, C. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2023.3291539 · Cited by 60
Kaushal, V., & Yadav, R. (2022) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.7450 · Cited by 70
Pickard, M. D., & Roster, C. A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106197 · Cited by 52
The avatar in marketing: Synthesis, integrative framework and perspectives
Garnier, M., & Poncin, I. (2013) · Recherche et Applications en Marketing (English Edition) · doi:10.1177/2051570713478335 · Cited by 52
Self-citationThe Paradoxical Role of Humanness in Aggression Toward Conversational Agents
Brendel, B., Hildebrandt, F., Dennis, A. R., & Riquel, J. (2023) · Journal of Management Information Systems · doi:10.1080/07421222.2023.2229127 · Cited by 50
Improving Conversations: Lessons Learnt from Manual Analysis of Chatbot Dialogues
Kvale, K., Sell, O. A., Hodnebrog, S., & Følstad, A. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-39540-7_13 · Cited by 51
Tan, S.-M., & Liew, T. W. (2022) · Human Behavior and Emerging Technologies · doi:10.1155/2022/2501538 · Cited by 54
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
Goonesekera, Y., & Donkin, L. (2022) · JMIR Formative Research · doi:10.2196/37877 · Cited by 43
“characteristics in a chatbot avatar set up high expectations, leading to user disappointment [61], thus supporting the idea that high expectations of functionality can lead to feelings of disappointment and frustration for participants.”
BackgroundHaikel-Elsabeh, M. (2023) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2023.2218420 · Cited by 50
Virtual or human? The impact of the influencer type on Gen Z consumer outcomes
Kholkina, V., Chesnokova, E., & Zelenskaya, E. (2024) · Journal of Product & Brand Management · doi:10.1108/jpbm-12-2023-4885 · Cited by 47
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
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
University of Göttingen, Diederich, S., Lembcke, T.-B., University of Göttingen, Brendel, A. B., Dresden, T., Kolbe, L. M., & University of Göttingen (2021) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00143 · Cited by 40
The effects of response time on older and young adults’ interaction experience with Chatbot
Wang, Y., & Lo, C.-W. (2025) · BMC Psychology · doi:10.1186/s40359-025-02459-9 · Cited by 47
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
Commentary: Opportunities and challenges of technology in relationship marketing
Steinhoff, L., & Palmatier, R. W. (2020) · Australasian Marketing Journal (AMJ) · doi:10.1016/j.ausmj.2020.07.003 · Cited by 45
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
Effects of Agent Appearance on Customer Buying Motivations on Online Shopping Sites
Terada, K., Jing, L., & Yamada, S. (2015) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2702613.2732798 · Cited by 36
In or out? A field observational study on the placement of entertaining robots in retailing
Gauquier, L. D., Brengman, M., Willems, K., Cao, H.-L., & Vanderborght, B. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2020-0413 · Cited by 35
Kallel, A., Mouelhi, N. B. D., Chaouali, W., & Danks, N. P. (2023) · Journal of Strategic Marketing · doi:10.1080/0965254x.2023.2175020 · Cited by 33
Towards a Taxonomy of Platforms for Conversational Agent Design.
Diederich, S., Brendel, A., & Kolbe, L. M. (2019) · Journal of the Association for Information Systems · Cited by 32
Hypocrisy Induction: Using Chatbots to Promote COVID-19 Social Distancing
Kim, W., & Ryoo, Y. (2021) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2021.0057 · Cited by 32
Zhu, S., Hu, W., Li, W., & Dong, Y. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2241293 · Cited by 35
Potdevin, D., Clavel, C., & Sabouret, N. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102612 · Cited by 28
Recovering customer satisfaction after a chatbot service failure – The effect of gender
Rese, A., & Witthohn, L. (2025) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104257 · Cited by 35
The Role of Humor in Management Response to Positive Consumer Reviews
Liao, J., Li, C., & Filieri, R. (2022) · Journal of Interactive Marketing · doi:10.1177/10949968221083095 · Cited by 28
L’avatar en marketing: synthèse, cadre intégrateur et perspectives
Garnier, M., & Poncin, I. (2013) · Recherche et Applications en Marketing (French Edition) · doi:10.1177/0767370112472787 · Cited by 28
Self-citationVirtual influencers in marketing: addressing authenticity challenges through anthropomorphism
Yin, G., Pei, Y.-L., Farivar, S., Wang, F., & Wang, S. (2025) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-01-2025-0025 · Cited by 22
Functionality, Emotion, and Acceptance of Artificial Intelligence Virtual Assistants
Du, X., Zhao, X., Wu, C., & Feng, K. (2021) · Journal of Global Information Management · doi:10.4018/jgim.290418 · Cited by 29
Detecting Egregious Conversations between Customers and Virtual Agents
Sandbank, T., Shmueli-Scheuer, M., Herzig, J., Konopnicki, D., Richards, J. T., & Piorkowski, D. (2018) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/n18-1163 · Cited by 30
WEBSITE ATMOSPHERE: TOWARDS REVISITED TAXONOMY OF WEBSITE ELEMENTS
Vaičiukynaitė, E., & Gatautis, R. (2013) · ECONOMICS AND MANAGEMENT · doi:10.5755/j01.em.18.3.5285 · Cited by 24
Is Making Mistakes Human? On the Perception of Typing Errors in Chatbot Communication
Bührke, J., Brendel, B., Lichtenberg, S., Greve, M., & Mirbabaie, M. (2021) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2021.541 · Cited by 23
Chang, C., Shao, B., Li, Y., & Zhang, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1016579 · Cited by 22
Chérif, E., & Lemoine, J.-F. (2018) · Recherche et Applications en Marketing (French Edition) · doi:10.1177/0767370118775963 · Cited by 23
Mind the voice! The effect of service robot voice vividness on service failure tolerance
Huo, J., Gong, L., Xi, Y., Chen, Y., Chen, D., & Yang, Q. (2024) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2024.2425095 · Cited by 22
The Influence of Peer Reviews on Source Credibility and Purchase Intention
Nowak, K. L., & McGloin, R. (2014) · Societies · doi:10.3390/soc4040689 · Cited by 31
Wang, X., & Qiu, X. (2023) · Behavioral Sciences · doi:10.3390/bs13010074 · Cited by 17
Hasan, R., Thaichon, P., & Weaven, S. K. (2021) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80071-348-220211007 · Cited by 15
Garnier, M., & Poncin, I. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.12.011 · Cited by 15
Self-citationKim, D. Y., & Jang, J. Y. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108653 · Cited by 13
Goudey, A., & Bonnin, G. (2016) · Recherche et Applications en Marketing (French Edition) · doi:10.1177/0767370115617914 · Cited by 13
Roy, S. K., Singh, G., Gruner, R. L., Dey, B. L., Shabnam, S., Muhammad, S. S., & Quaddus, M. (2023) · Information Systems Frontiers · doi:10.1007/s10796-023-10445-y · Cited by 15
Poushneh, A., & Gearhart, R. S. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.2496 · Cited by 14
Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework
Arsenyan, J., Mirowska, A., & Piepenbrink, A. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122644 · Cited by 11
Feine, J., Morana, S., & Maedche, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-19504-5_6 · Cited by 11
Mindful and Mindless Anthropomorphism: How to Facilitate Consumer Comprehension Towards New Products
Esfahani, M. S., Reynolds, N. L., & Ashleigh, M. (2020) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877020500169 · Cited by 14
Uncovering the role of virtual agents in co-creation contexts
Castellano, S., Khelladi, I., Charlemagne, J., & Susini, J.-P. (2018) · Management Decision · doi:10.1108/md-04-2017-0444 · Cited by 11
Hu, Y., Xiao, Y., Hua, Y., Fan, Y. W., & Li, F. (2024) · Behavioral Sciences · doi:10.3390/bs14121182 · Cited by 12
Yamamoto, M., Xu, S., Kee, K. F., & Li, W. (2025) · Journal of Trust Research · doi:10.1080/21515581.2024.2445505 · Cited by 10
ACA as E-Atmospherics: Is There an “Animation Predisposition” Effect?
Mimoun, M. S. B. (2013) · International Business Research · doi:10.5539/ibr.v6n6p45 · Cited by 9
Building Trust in PRVAs by User Inner State Transition through Agent State Transition
Matsui, T., & Yamada, S. (2016) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/2974804.2974816 · Cited by 8
Nagar, K. (2023) · Journal of Marketing Communications · doi:10.1080/13527266.2023.2205417 · Cited by 10
Conversational Agents in Organisations
Patel, S., Chiu, Y.-T., Khan, M. S., Bernard, J.-G., & Ekandjo, T. A. T. (2021) · Journal of Global Information Management · doi:10.4018/jgim.20211101.oa53 · Cited by 10
NLP-Driven Insights on Boutique Hotel Satisfaction
Mishra, A. N., Li, J., Sengupta, P., & Oztekin, A. (2024) · Journal of Computer Information Systems · doi:10.1080/08874417.2024.2362824 · Cited by 7
User-Specific Determinants of Conversational Agent Usage: A Review and Potential for Future Research
Riefle, L., & Benz, C. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-86797-3_8 · Cited by 7
Bührke, J., Brendel, B., Lichtenberg, S., Diederich, S., & Morana, S. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-86797-3_19 · Cited by 7
Avatar taxonomy: a new technological tool to enhance the consumer-brand relationships
Elsharnouby, M. H., Jayawardhena, C., & Saxena, G. (2023) · Management & Sustainability An Arab Review · doi:10.1108/msar-07-2023-0037 · Cited by 7
Social Virtual Agents and Loneliness: Impact of Virtual Agent Anthropomorphism on Users’ Feedbacks
Zehnder, E., Dinet, J., & Charpillet, F. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-80091-8_33 · Cited by 7
Du, W., Gao, J., Niu, J., & Liu, S. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.2506 · Cited by 6
Escobar-Grisales, D., Vásquez-Correa, J. C., & Orozco‐Arroyave, J. R. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14896-y · Cited by 7
Exploring B2B Chatbots adoption experiences: Lessons for successful implementation in BusinessesPreprint
Kaushal, V., & Yadav, R. (2022) · Research Square · doi:10.21203/rs.3.rs-1776145/v1 · Cited by 6
Chen, J., Guo, F., Zhang, Z., Tian, X., & Ham, J. R. C. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2499169 · Cited by 5
Emotion Animation of Embodied Conversational Agents with Contextual Control Model
Yuan, X., & Vijayarangan, R. (2013) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/greencom-ithings-cpscom.2013.123 · Cited by 5
Affective Conversational Interfaces
McTear, M., Callejas, Z., & Griol, D. (2016) · Springer eBooks · doi:10.1007/978-3-319-32967-3_15 · Cited by 5
Navigating Misinformation: Understanding User Frustration in AI-Driven Chatbot Interactions
Rössner, A., Ambach, M., & Pagel, S. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-93415-5_16 · Cited by 4
PARA O HIGH TECH SER HIGH TOUCH - UM ESTUDO EXPLORATÓRIO COM CHATBOTS
Shiraishi, G. D. F., Yoda, F. S., & Lourenço, V. C. (2020) · Revista Administração em Diálogo - RAD · doi:10.23925/2178-0080.2020v22i1.40774 · Cited by 4
Valente, P., Fornelos, T., Ferreira, R., Silva, D., Tavares, D., Correia, N. M. R., Magalhães, J., & Nóbrega, R. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-42283-6_15 · Cited by 4
Kuroda, T., Yamada, S., & Terada, K. (2015) · Transactions of the Japanese Society for Artificial Intelligence · doi:10.1527/tjsai.g-f78 · Cited by 4
Metadata
- Authors
- Ben Mimoun, M. S., Poncin, I., & Garnier, M.
- Affiliations
- SKEMA Business School (FR)
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 19
- Issue
- 6
- Pages
- 605-612
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W2029180844
- Cited by
- 136
- References
- 64
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 8 · 2023: 19 · 2022: 12 · 2021: 21 · 2020: 13 · 2019: 17 · 2018: 8 · 2017: 3 · 2016: 9 · 2015: 6 · 2014: 1 · 2013: 6
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Retailing and Consumer Services (publishedVersion)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Keywords
- embodied virtual agents, commercial websites, lack of autonomy, customer expectations, agent performance, e-commerce
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review