AI Text Generators and Text Producers

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Abstrakt

AI-generated text production is becoming increasingly important in many industries, and it has already brought about dramatic changes in the ways we write texts and generate content. The article draws on empirical data from a descriptive-analytical study involving 70 test subjects. The population comprised 115 test persons, who received an e-mail with instructions. A sample of 70 test subjects participated in the study. First, the test subjects were asked to test a specific AI text generator (ATG) and conduct three prompting operations with the same linguistic content. Second, having tested the ATG, the test subjects were asked to participate in a questionnaire with ten questions focusing on how they experienced the performance of the ATG and how they worked with the ATG. The majority of the test subjects found that the tested ATG was easy to use when producing texts. When asked about the perceived quality of the AI-generated content, the respondents were not impressed with the quality and indicated that they needed to perform several editing operations. The data also indicate that ATGs need help before, during and after. This paper presents a three-phase editing framework, which can be used when using and teaching ATGs.
OriginalsprogEngelsk
TitelProceedings 2022 International Conference on Advanced Learning Technologies, ICALT 2022
RedaktørerMaiga Chang, Nian-Shing Chen, Mihai Dascalu, Demetrios G. Sampson, Ahmed Tlili, Stefan Trausan-Matu
Antal sider3
UdgivelsesstedLos Alamitos, CA
ForlagIEEE
Publikationsdato2022
Sider218-220
ISBN (Trykt)9781665495202
ISBN (Elektronisk)9781665495196
DOI
StatusUdgivet - 2022
BegivenhedThe 22nd IEEE International Conference on Advanced Learning Technologies. ICALT 2022 - University Politehnica of Bucharest, Bucharest, Rumænien
Varighed: 1 jul. 20224 jul. 2022
Konferencens nummer: 22
https://tc.computer.org/tclt/icalt-2022-conference-program/

Konference

KonferenceThe 22nd IEEE International Conference on Advanced Learning Technologies. ICALT 2022
Nummer22
LokationUniversity Politehnica of Bucharest
Land/OmrådeRumænien
ByBucharest
Periode01/07/202204/07/2022
Internetadresse
NavnProceedings IEEE International Conference on Advanced Learning Technologies
ISSN2161-3761

Emneord

  • Industries
  • Sociology
  • Education
  • Focusing
  • Production
  • Linguistics
  • Generators
  • Artificial intellegence
  • Computer aided instruction
  • Teaching
  • Text analysis
  • Text producers
  • AI-generated text production
  • Test subjects
  • Test persons
  • Specific AI text generator
  • Tested ATG
  • AI-generated content
  • AI text generators
  • User interaction
  • Editing

Citationsformater