Let’s Chat Internal: User Acceptance of an In-Company Service Desk Chatbot
| dc.contributor.author | Stütz, Lena | |
| dc.contributor.author | Riener, Andreas | |
| dc.contributor.editor | Schneegass, Stefan | |
| dc.contributor.editor | Pfleging, Bastian | |
| dc.contributor.editor | Kern, Dagmar | |
| dc.date.accessioned | 2021-09-03T19:10:23Z | |
| dc.date.available | 2021-09-03T19:10:23Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Due to remote working models, which were strengthened by the COVID-19 pandemic, it became highly relevant to digitalize onsite service desk consultations. Virtual enterprise assistants which simplify the interaction with in-company services provide similar advantages to their popular peers in customer service: high availability and customer satisfaction, and low response time and costs. To find out how their usage affects user acceptance we developed an early high-fidelity prototype for an in-company UX service desk chatbot and evaluated it in an online survey (N=53) and user study (N=14) with employees from the industry using the Technology Acceptance Model. The results show that the prototype’s acceptance does not differ from the classical service and prior experiences with textual chatbots in a private usage context but was rated higher than a private sample bot. | en |
| dc.description.uri | https://dl.acm.org/doi/10.1145/3473856.3474005 | en |
| dc.identifier.doi | 10.1145/3473856.3474005 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/37287 | |
| dc.language.iso | en | |
| dc.publisher | ACM | |
| dc.relation.ispartof | Mensch und Computer 2021 - Tagungsband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.subject | Chatbot | |
| dc.subject | user acceptance | |
| dc.subject | user experience | |
| dc.subject | virtual enterprise assistant | |
| dc.subject | service desk consultation. | |
| dc.title | Let’s Chat Internal: User Acceptance of an In-Company Service Desk Chatbot | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 598 | |
| gi.citation.publisherPlace | New York | |
| gi.citation.startPage | 593 | |
| gi.conference.date | 5.-8.. September 2021 | |
| gi.conference.location | Ingolstadt | |
| gi.conference.sessiontitle | MCI-SE08 | |
| gi.document.quality | digidoc |