The psychological and ethological antecedents of human consent to techno-empowerment of autonomous office assistants

Modliński, Artur

doi:10.1007/s00146-022-01534-8

Cited by 7 publications

(4 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But the transfer of autonomy to machines is subject to certain conditions. Similar to the use and gratification theory and the technology acceptance model, existing research indicates that more positive attitudes and higher trust, perceived usefulness, and perceived ease of use are correlated with higher intention to allow the autonomous assistant independence in decision-making ( Modliński, 2022 : 13). Moreover, the more human-like a non-human agent is, the higher the intention to empower it—but only if this agent simultaneously provides functional and visual anthropomorphic cues explainable by the mimicry effect ( Modliński, 2022 : 15).…”

Section: Literature Reviewmentioning

confidence: 99%

Boundary crossing: an experimental study of individual perceptions toward AIGC

2023

View full text Add to dashboard Cite

Artificial Intelligence (AI) Generated Content has made great progress in many fields. Those AI art works gradually reshape contemporary understanding of creativity. The unique creative ability of human beings may also be challenged. This paper takes AIGC as the research object and carries out a grouping experiment based on 240 participants. We found that Anthropomorphism and Autonomy have no effect on the evaluation of AI paintings and AI “painter” identity, but in together their have a combined positive impact on both independent variables. The existence of moderating effect reveals the phenomenon of on-the-spot stimulation similar to the strong effect theory. Meanwhile, the evaluation of paintings positively affects the perception of AI “painter” identity. The subjectivity of AI comes from the double superposition of its external and inner characteristics, which may suggest AI with both human-like appearance and function can be regarded as a person with social role identity.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Boundary crossing: an experimental study of individual perceptions toward AIGC

2023

View full text Add to dashboard Cite

show abstract

“…Sofge et al l (2013) suggest that these differences depend on human perception and the type of decision that machines would ultimately make. Trust, perceived usefulness, and ease of use positively correlate to letting the autonomous agent make independent decisions (Modliński, 2022). In addition, previous experience and education level may influence a person's approval of an agent's autonomy (Madhaven and Wiegmann, 2007).…”

Section: Social Perception Of Autonomous Agents (Aas)mentioning

confidence: 99%

“…For example, extroverted people seem more willing to let the agent make independent decisions than introverted people (Goldbach et al, 2019). Recent research suggests that people are reluctant to let AAs make decisions in driving, legal matters, medical treatments, and military actions, regardless of their (positive/negative) outcomes, which could be related to human-machine trans role conflict (Modliński et al, 2022). However, the same authors found that this resistance decreases as AAs' perceived experience and expertise increase (Bigman and Gray, 2018).…”

Section: Social Perception Of Autonomous Agents (Aas)mentioning

confidence: 99%

To boast or not to boast

Modliński

2024

Management (Split, Online)

View full text Add to dashboard Cite

In the current phase of artificial intelligence development, more and more attention is being paid to technologies that make autonomous decisions. Little attention has been paid to the customers’ and job seekers’ perceptions of heavily technology-empowered organizations in the management and marketing literature. The purpose of this research is to fill this research gap. A between-subject experiment with fictitious brands was conducted with 239 subjects to answer four hypotheses about customers’ attitudes, intention to use the offer, intention to recommend the company to others, and job seekers’ intentions. The results show that an autonomous algorithm universally influences job seekers more than customer referral behaviors. People confronted with brochures from banks and hospitals that use autonomous technologies express a higher intention to work in such organizations than in analogous institutions that do not offer such a service. However, only in banks that use autonomous algorithms the customers have a more positive attitude and a higher intention to use or recommend the service. The hospital’s unknown brand does not benefit from such an advertising approach. This is the first study ever conducted with fictitious brands of banks and hospitals to investigate the referral towards companies using autonomous technologies. The topic is worth exploring as key market players (such as Oracle) recognize autonomous technologies as the most ground-breaking innovation that will shape business in the coming years.

show abstract

“…When they use AI technology, their power to make decisions decreases, and they become more dependent on technology [72]. This dependency further increases the dependency on AI technology and decreases the use of mental power [78]. AI is also making people lazy as many tasks are performed automatically etc., [79].…”

Section: Ethical Concerns About Ai Technology In Educationmentioning

confidence: 99%

Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization

et al. 2023

View full text Add to dashboard Cite

Adopting Artificial Intelligent Technology in an Educational Organization is often problematic due to many internal and external environmental reasons, and often fails to attain the desired goals. This study aims to design a framework for adopting AI technology in the education sector. Most of the research focuses on the acceptance of a particular technology and ignores the study of what else is needed for a technology acceptance. The framework in this study provides a step-by-step process of the Technological Transformation of an organization never designed before. We recommend that before making any technological changes in an organization, generally and in the educational organization particularly, the processes must be followed for the successful and meaningful adoption of AI technology.

show abstract

The psychological and ethological antecedents of human consent to techno-empowerment of autonomous office assistants

Cited by 7 publications

References 70 publications

Boundary crossing: an experimental study of individual perceptions toward AIGC

Boundary crossing: an experimental study of individual perceptions toward AIGC

To boast or not to boast

Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization

Contact Info

Product

Resources

About