| dc.contributor | 傳播學院 | |
| dc.creator (作者) | 侯宗佑 | |
| dc.creator (作者) | Schecter, Aaron;Hohenstein, Jess;Larson, Lindsay;Harris, Alexa;Hou, Tsung-Yu;Lee, Wen-Ying;Lauharatanahirun, Nina;DeChurch, Leslie;Contractor, Noshir;Jung, Malte | |
| dc.date (日期) | 2023-04 | |
| dc.date.accessioned | 6-Jul-2026 10:16:44 (UTC+8) | - |
| dc.date.available | 6-Jul-2026 10:16:44 (UTC+8) | - |
| dc.date.issued (上傳時間) | 6-Jul-2026 10:16:44 (UTC+8) | - |
| dc.identifier.uri (URI) | https://ah.lib.nccu.edu.tw/item?item_id=183159 | - |
| dc.description.abstract (摘要) | Despite the recognized need to prepare for a future of human–AI collaboration, the technical skills necessary to develop and deploy AI systems are considerable, making such research difficult to perform without specialized knowledge. To make human–AI collaboration research more accessible, we developed a novel experimental method that combines a standard video conferencing platform, a set of animations, and Wizard of Oz methods to simulate a group interaction with an AI teammate. Through a case study, we demonstrate the flexibility and ease of deployment of this approach. We also provide evidence that the method creates a highly believable experience of interacting with an AI agent. By detailing this method, we hope that researchers regardless of background can replicate it to more easily answer questions that will inform the design and development of future human–AI collaboration technologies. | |
| dc.format.extent | 105 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Computers in Human Behavior, Vol.141, Article:107606 | |
| dc.subject (關鍵詞) | Human computer interaction; Human-Agent Teaming; Experimental methods; Wizard of Oz; Remote collaboration | |
| dc.title (題名) | Vero: An accessible method for studying human-AI teamwork | |
| dc.type (資料類型) | article | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/j.chb.2022.107606 | |
| dc.doi.uri (DOI) | https://doi.org/10.1016/j.chb.2022.107606 | |
