The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
I'm Sorry, Dave, I'm Afraid I Can't Do That: Chatbot Perception and Expectations
Abstract
Artificial intelligence continues to grow in popularity on mobile platforms, increasing exposure to chatbot apps. Chatbot technology has evolved over time, yet the purpose and added value that chatbots offer has not been clearly defined. In order to design a chatbot that provides a meaningful experience, we must first understand what expectations people have for this technology, and what opportunities are there for chatbots based on user needs. This study includes qualitative data from 54 participants in the US and India, sharing their expectations and experiences with a chatbot. The research objectives include:1) understand user perception and expectations of chatbots 2) surface preferences for input modality and 3) identify domains where chatbots can add meaningful purpose.
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
“Users still experience issues in chatbot interaction, both in terms of pragmatic experiences—where chatbots fail to understand or to help users achieve their intended goals [75]—and in terms of hedonic experiences—where chatbots fail to engage users over time [117].”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [117]
Citations
Cites
Bilingual Speech: A Typology of Code-Mixing
Muysken, P. C. (2000) · Cited by 1,810
Principles of mixed-initiative user interfaces
Horvitz, E. (1999) · Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99 · doi:10.1145/302979.303030 · Cited by 1,490
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 808
Embodiment in conversational interfaces
Cassell, J., Bickmore, T., Billinghurst, M., Campbell, L. W., Chang, K., Vilhjálmsson, H. H., & Yan, H. (1999) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/302979.303150 · Cited by 569
(2005) · Cited by 505
The power of a nod and a glance: envelope vs. emotional feedback in animated conversational agents
Cassell, J., & Thorisson, K. R. (1999) · Applied Artificial Intelligence · doi:10.1080/088395199117360 · Cited by 383
Proceedings of EUROSPEECH-1991.
Lickley, R. J., Shillcock, R. C., & Bard, E. G. (1991) · Cited by 374
The role of natural language in a multimodal interface
Cohen, P. R. (1992) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/142621.142641 · Cited by 170
Error resolution during multimodal human-computer interaction
Oviatt, S. L., & VanGent, R. (2002) · International Conference on Spoken Language Processing (ICSLP) · doi:10.1109/icslp.1996.607077 · Cited by 114
Social cues in animated conversational agents
Louwerse, M. M., Graesser, A. C., Lu, S., & Mitchell, H. H. (2005) · Applied Cognitive Psychology · doi:10.1002/acp.1117 · Cited by 104
Lifelike computer characters: the persona project at Microsoft
Ball, G., Ling, D., Kurlander, D., Miller, J. R., Pugh, D. R., Skelly, T., Stankosky, A., Thiel, D., van Dantzich, M., & Wax, T. (1997) · The MIT Press eBooks · Cited by 51
An empirical study on the trustworthiness of life-like interface agents
van Mulken, S., André, E., & Müller, J. M. (1999) · Cited by 49
Hubal, R. C., Fishbein, D. H., Sheppard, M., Paschall, M. J., Eldreth, D. L., & Hyde, C. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2007.03.010 · Cited by 35
Speech Is 3x Faster than Typing for English and Mandarin Text Entry on Mobile Devices.Preprint
Ruan, S., Wobbrock, J. O., Liou, K., Ng, A. Y., & Landay, J. A. (2016) · arXiv (Cornell University) · Cited by 35
Ahmed, U. Z., Bali, K., Choudhury, M., & Vb, S. (2011) · Cited by 32
Is Al going mainstream as last? a look inside Microsoft Research
Hedberg, S. R. (1998) · IEEE Intelligent Systems and their Applications · doi:10.1109/5254.671087 · Cited by 27
Dey, P., Sitaram, R., Ajmera, R., & Bali, K. (2009) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/1647314.1647380 · Cited by 7
Different ways of ending human-machine dialogues
Cerrato, L., & Ekeklint, S. (2002) · Cited by 6
Research works printed but not linked: 6
- Ahmed Umair Z, Proceedings of the Workshop on Advances in Text Input Methods (WTIM '11)
- Bell Linda, 1999, Proceedings of Eurospeech '99
- Cerrato Loredana, 2002, Proceedings of Embodied Conversational Agents.
- 2016, Retrieved
- Dey Prasenjit, 2009, Proceedings of Multimodal Interfaces, 313--318
- van Mulken Susanne, 1999, Proceedings of the HCI International '99 (the 8th International Conference on Human-Computer Interaction).
Cited by
Sorted by citations
Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101473 · Cited by 1,200
Nadarzynski, T., Miles, O., Cowie, A., & Ridge, D. (2019) · DIGITAL HEALTH · doi:10.1177/2055207619871808 · Cited by 810
Rapp, A., Curti, L., & Boldi, A. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102630 · Cited by 733
Chaves, A. P., & Gerosa, M. A. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1841438 · Cited by 572
What makes you continuously use chatbot services? Evidence from chinese online travel agencies
Li, L., Lee, K. Y., Emokpae, E., & Yang, S. (2021) · Electronic Markets · doi:10.1007/s12525-020-00454-z · Cited by 335
Metadata
- Authors
- Zamora, J.
- Affiliations
- Google (United States) (US)
- Corresponding author
- Zamora, Jennifer
- Venue
- Proceedings of the 5th International Conference on Human Agent Interaction
- Publisher
- ACM
- Published
- 2017-10-27
- Pages
- 253-260
- OpenAlex
- W2765338544
- Cited by
- 164
- References
- 18
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 24 · 2023: 27 · 2022: 19 · 2021: 23 · 2020: 22 · 2019: 14 · 2018: 2
- FWCI
- 4.74
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Human-Agent Interaction (HAI) (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- chatbots, user expectations, user perception, chatbot design, artificial intelligence, user experience, cross-cultural comparison
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