Perceived trust in artificial intelligence technologies: A preliminary study
Artificial intelligence (AI) is becoming increasingly prevalent in all spheres of society. Still, the perception of AI from users and customers remains the main barrier for its widespread adoption. Previous studies showed that the acceptance of new technologies in society depends on perceived charac...
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| Published in | Human factors and ergonomics in manufacturing & service industries Vol. 30; no. 4; pp. 282 - 290 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken
Wiley Subscription Services, Inc
01.07.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1090-8471 1520-6564 |
| DOI | 10.1002/hfm.20839 |
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| Abstract | Artificial intelligence (AI) is becoming increasingly prevalent in all spheres of society. Still, the perception of AI from users and customers remains the main barrier for its widespread adoption. Previous studies showed that the acceptance of new technologies in society depends on perceived characteristics. This study examined users’ perception of trust, the difficulty of the task, and application performance when using an AI‐based technology. These factors help us to elucidate the mechanisms for building trust in AI technology from the users’ perspective. A total of 18 participants took part in the experiment with the Google AutoDraw software as an AI tool. As a result, the difficulty of the task, perceived performance, and success/failure of the task can be regarded as the influential factors for the perceived trust evaluation. The perceived trust of users in new AI products would be increased by improving product performance and the successful implementation of the tasks. The obtained results and insights can serve AI product developers to increase the level of users’ trust and attraction towards their technologies and applications. |
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| AbstractList | Artificial intelligence (AI) is becoming increasingly prevalent in all spheres of society. Still, the perception of AI from users and customers remains the main barrier for its widespread adoption. Previous studies showed that the acceptance of new technologies in society depends on perceived characteristics. This study examined users’ perception of trust, the difficulty of the task, and application performance when using an AI‐based technology. These factors help us to elucidate the mechanisms for building trust in AI technology from the users’ perspective. A total of 18 participants took part in the experiment with the Google AutoDraw software as an AI tool. As a result, the difficulty of the task, perceived performance, and success/failure of the task can be regarded as the influential factors for the perceived trust evaluation. The perceived trust of users in new AI products would be increased by improving product performance and the successful implementation of the tasks. The obtained results and insights can serve AI product developers to increase the level of users’ trust and attraction towards their technologies and applications. |
| Author | Kim, Hyun K. Park, Jangwoon Jeong, Heejin Park, Jaehyun Bitkina, Olga Vl Lee, Byung Cheol |
| Author_xml | – sequence: 1 givenname: Olga Vl surname: Bitkina fullname: Bitkina, Olga Vl organization: Incheon National University (INU) – sequence: 2 givenname: Heejin orcidid: 0000-0002-0122-532X surname: Jeong fullname: Jeong, Heejin organization: University of Illinois at Chicago – sequence: 3 givenname: Byung Cheol orcidid: 0000-0003-4189-0970 surname: Lee fullname: Lee, Byung Cheol organization: Texas A&M University–Corpus Christi – sequence: 4 givenname: Jangwoon orcidid: 0000-0002-3758-2281 surname: Park fullname: Park, Jangwoon organization: Texas A&M University–Corpus Christi – sequence: 5 givenname: Jaehyun orcidid: 0000-0002-5264-6941 surname: Park fullname: Park, Jaehyun email: jaehpark@inu.ac.kr organization: Incheon National University (INU) – sequence: 6 givenname: Hyun K. surname: Kim fullname: Kim, Hyun K. organization: Kwangwoon University |
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| Cites_doi | 10.1016/j.techfore.2015.12.014 10.1016/j.is.2015.01.006 10.1016/j.jbusres.2016.04.048 10.1108/03090560710773390 10.1016/S1071-5819(03)00041-7 10.1108/IntR-02-2017-0047 10.1108/02635570710719034 10.1111/j.1559-1816.1992.tb00945.x 10.1080/10941665.2018.1499544 10.1007/978-981-10-9035-6_57 10.1016/j.eswa.2018.05.024 10.1007/978-3-319-94334-3_1 10.1509/jmkg.2005.69.4.133 10.2307/249008 10.1177/1094670503005004002 10.22610/jsds.v3i1.682 10.3390/app9214565 10.1016/j.kjss.2016.08.012 10.1108/01437730110403222 10.1007/978-3-319-94334-3_2 10.1002/hfm.20748 10.1108/09685220910963983 10.1108/02635571311289700 10.1080/0267257X.2013.774290 10.1145/3278721.3278771 10.3390/info7010004 10.1371/journal.pone.0184952 10.2307/30036519 |
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| Title | Perceived trust in artificial intelligence technologies: A preliminary study |
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