The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Emotional Attachment, Performance, and Viability in Teams Collaborating with Embodied Physical Action (EPA) Robots
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“Early research is already under way to explore phenomena surrounding the use of AI in collaboration (e.g., [7,8]), but it is not yet possible to offer definitive answers to any of these questions; we do not know what we do not know.”
From Machines as teammates: A research agenda on AI in team collaboration (2020) · cites this paper as [8]
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Citations
Cites
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“Positive feelings such as enjoyment, satisfaction, and pleasure toward a particular technology were associated with more use of group support systems and mobile devices (Bhattacherjee, 2001; Chin & Gopal, 1995; Kim, Chan, Chan, & Gupta, 2004).”
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Russell, J. A. (2003) · Psychological Review · doi:10.1037/0033-295x.110.1.145 · Cited by 6,113 · cited 1×
“The term usually reflects an individual’s subjective feelings toward objects, environments, people, and events (Russell, 2003).”
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Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(02)00372-x · Cited by 3,162
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“This bond is what differentiates emotional attachment from other types of affect (Thomson et al., 2005; Zhang, 2013).”
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Belk, R. W. (2013) · Journal of Consumer Research · doi:10.1086/671052 · Cited by 1,698
Media, Tasks, and Communication Processes: A Theory of Media Synchronicity1
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CHANNEL EXPANSION THEORY AND THE EXPERIENTIAL NATURE OF MEDIA RICHNESS PERCEPTIONS.
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Boundary spanners’ identification, intergroup contact, and effective intergroup relations
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Human-Computer Interaction: The Agency Perspective
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Cited by
Machines as teammates: A research agenda on AI in team collaboration
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G.-J., Elkins, A., Maier, R., Merz, A. B., Oeste-Reiß, S., Randrup, N., et al. (2020) · Information & Management · doi:10.1016/j.im.2019.103174 · Cited by 835
Baird, A., & Maruping, L. M. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15882 · Cited by 512
Attachment and trust in artificial intelligence
Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106607 · Cited by 448
The rise of artificial intelligence – understanding the AI identity threat at the workplace
Mirbabaie, M., Brünker, F., Möllmann Frick, N. R. J., & Stieglitz, S. (2022) · Electronic Markets · doi:10.1007/s12525-021-00496-x · Cited by 362
Coombs, C., Hislop, D., Taneva, S. K., & Barnard, S. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101600 · Cited by 301
Metadata
- Authors
- Paris, H., You, S., Robert, L., & University of Michigan
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2018-05
- Volume
- 19
- Issue
- 5
- Pages
- 377-407
- ISSN
- 1536-9323
- Cited by
- 106
- References
- 19
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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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
