Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?

被引:51
作者
Gado, Sabrina [1 ,4 ]
Kempen, Regina [1 ]
Lingelbach, Katharina [2 ]
Bipp, Tanja [3 ]
机构
[1] Univ Wurzburg, Inst Psychol, Roentgenring 10, D-97070 Wurzburg, Germany
[2] Univ Stuttgart, Inst Human Factors & Technol Management IAT, Stuttgart, Germany
[3] Heidelberg Univ, Inst Psychol, Heidelberg, Germany
[4] Aalen Univ Appl Sci, Dept Business Psychol, Aalen, Germany
来源
PSYCHOLOGY LEARNING AND TEACHING-PLAT | 2022年 / 21卷 / 01期
关键词
Technology acceptance models; artificial intelligence; psychology students; INFORMATION-TECHNOLOGY; UNIFIED THEORY; UTAUT MODEL; METAANALYSIS; BEHAVIOR; ADOPTION; INTENTION; EXTENSION; KNOWLEDGE; TEACHERS;
D O I
10.1177/14757257211037149
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This requires identifying approaches to integrate a general understanding of AI technology into formal psychological training and education. This study investigated to what extent psychology students currently accept and use AI and what affects their perception and usage. Therefore, an AI acceptance model based on established technology acceptance models was developed and tested in a sample of 218 psychology students. An acceptable fit with the data was found for an adapted version. Perceived usefulness and ease of use were most predictive for the students' attitude towards AI; attitude itself, as well as perceived usefulness, social norm, and perceived knowledge, were predictors for the intention to use AI. In summary, we identified relevant factors for designing AI training approaches in psychology curricula. In this way, possible restraints regarding the use of AI can be reduced and its beneficial opportunities exploited in psychological contexts.
引用
收藏
页码:37 / 56
页数:20
相关论文
共 95 条
[1]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[2]  
Ajzen I., 1980, UNDERSTANDING ATTITU
[3]   TEACHERS' BELIEFS AND THE FORMATION OF ENTREPRENEURIAL POTENTIAL IN STUDENTS [J].
Cruz, Tamara de la Torre ;
Escolar-Llamazares, Maria-Camino ;
Valle, Cristina Di Giusto ;
Rico, Isabel Luis ;
Eguizabal, Alfredo Jimenez ;
Jimenez, Alfredo .
INTERCIENCIA, 2023, 48 (08) :398-408
[4]  
Alam M. S., 2020, BUSINESS PERSPECTIVE, V2, P15, DOI [DOI 10.38157/BUSINESS-PERSPECTIVE-REVIEW.V2I2.122, https://doi.org/10.38157/business-perspective-review.v2i2.122]
[5]   Guidelines for Human-AI Interaction [J].
Amershi, Saleema ;
Weld, Dan ;
Vorvoreanu, Mihaela ;
Fourney, Adam ;
Nushi, Besmira ;
Collisson, Penny ;
Suh, Jina ;
Iqbal, Shamsi ;
Bennett, Paul N. ;
Inkpen, Kori ;
Teevan, Jaime ;
Kikin-Gil, Ruth ;
Horvitz, Eric .
CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
[6]  
[Anonymous], 2019, Gartner
[7]  
[Anonymous], 2013, INFORMATIK 2013 INFO
[8]   Technology Acceptance Model for Business Intelligence Systems: Preliminary Research [J].
Bach, Mirjana Pejic ;
Celjo, Amer ;
Zoroja, Jovana .
INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2016, 2016, 100 :995-1001
[9]   Twenty years after Hines, Hungerford, and Tomera:: A new meta-analysis of psycho-social determinants of pro-environmental behaviour [J].
Bamberg, Sebastian ;
Moeser, Guido .
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY, 2007, 27 (01) :14-25
[10]   THE EXPLANATORY AND PREDICTIVE SCOPE OF SELF-EFFICACY THEORY [J].
BANDURA, A .
JOURNAL OF SOCIAL AND CLINICAL PSYCHOLOGY, 1986, 4 (03) :359-373