an article by Philipp Brauner, Ralf Philipsen, André Calero Valdez and Martina Ziefle (RWTH Aachen University, Germany) published in Behaviour and Information Technology Volume 38 Issue 12 (December 2019)
Abstract
With the advent of artificial intelligence (AI) methods, smart decision support systems (DSSs) are becoming ubiquitous. Such systems help reduce complexity for operators by automating data integration tasks and recommending actions.
However, these systems are sometimes flawed.
It is not sufficiently understood whether, when and why operators comply with such systems in erroneous or correct cases.
We empirically investigate compliance with correct and defective DSSs, the influence of correct and erroneous DSS's on performance and subjective factors related to compliance. In the study, a business game was used as an experimental setting in which 40 users took part.
The impact of system correctness on user acceptance, trust, compliance and overall performance was investigated. The results show that the defective system reduces trust in automation (−47%), reduces usefulness (−58%), reduces acceptance (−62%) and reduces overall performance (−32%).
Overall, the defective system was less user-friendly (−27%).
Nevertheless, users who rated the system's usability higher, outperformed users who rated it lower. Usability is therefore an intermediary that compensates for the negative influence of erroneous DSSs.
Reading this I am visualising HAL in 2001, a space odyssey
Showing posts with label technology_acceptance. Show all posts
Showing posts with label technology_acceptance. Show all posts
Wednesday, 11 December 2019
Monday, 18 November 2019
On the perceptions and acceptance of artificially intelligent robotics and the psychology of the future elderly
an article by A. S. Gessl, S. Schlögl and N. Mevenkamp (MCI Management Center Innsbruck, Austria) published in Behaviour & Information Technology Volume 38 Issue 11 (November 2019)
Abstract
The demographic shift marks the beginning of a social transformation with far reaching implications, and differences in aging processes across individuals render one-size fits-all policies ineffective. An area of increasing importance is assistive technology, including physical and Social Assistance Robots (SARs) for elderly support.
In order to increase the effectiveness of such technologies, their design, functionality, and acceptance by target users must be evaluated.
This paper presents a study that examines SAR technology acceptance among the future elderly (aged 20–60) in a German-speaking population (N=188). In doing this, we investigated the relationships between personality, resilience, technology experience, expectations for technology, fulfilment of expectations for technology, and technology acceptance.
The study found significant correlations between age, gender, education, personality, resilience, experience, expectations, and technology acceptance and its subdimensions.
Of the personality dimensions, agreeableness and neuroticism were found most relevant. Small effects were found between resilience and acceptance, and highly significant ones between technology acceptance, technology experience, expectations for SARs, and fulfilment of expectations for SARs.
In keeping with previous research, the findings suggest that personality plays a significant role in the acceptance of SAR technologies. This study may be one of the first that considers and evaluates resilience as a factor in technology acceptance.
Abstract
The demographic shift marks the beginning of a social transformation with far reaching implications, and differences in aging processes across individuals render one-size fits-all policies ineffective. An area of increasing importance is assistive technology, including physical and Social Assistance Robots (SARs) for elderly support.
In order to increase the effectiveness of such technologies, their design, functionality, and acceptance by target users must be evaluated.
This paper presents a study that examines SAR technology acceptance among the future elderly (aged 20–60) in a German-speaking population (N=188). In doing this, we investigated the relationships between personality, resilience, technology experience, expectations for technology, fulfilment of expectations for technology, and technology acceptance.
The study found significant correlations between age, gender, education, personality, resilience, experience, expectations, and technology acceptance and its subdimensions.
Of the personality dimensions, agreeableness and neuroticism were found most relevant. Small effects were found between resilience and acceptance, and highly significant ones between technology acceptance, technology experience, expectations for SARs, and fulfilment of expectations for SARs.
In keeping with previous research, the findings suggest that personality plays a significant role in the acceptance of SAR technologies. This study may be one of the first that considers and evaluates resilience as a factor in technology acceptance.
Wednesday, 31 October 2018
Social media’s have-nots: an era of social disenfranchisement
an article by Xinru Page (Bentley University, Massachusetts, USA), Pamela Wisniewski (University of Central Florida, USA) and Bart P. Knijnenburg, and Moses Namara (Clemson University, South Carolina, USA) published in Internet Research Volume 28 Issue 5 (2018)
Abstract
Purpose
The purpose of this paper is to investigate the motivations, concerns, benefits and consequences associated with non-use of social media. In doing so, it extends Wyatt’s commonly used taxonomy of non-use by identifying new dimensions in which to understand non-use of social media. This framework encompasses a previously unidentified category of non-use that is critical to understand in today’s social media environment.
Design/methodology/approach
This is an exploratory interview study with 17 self-identified social media non-users distributed across age groups and socioeconomic backgrounds. A thematic analysis is conducted based on a novel extension of Wyatt’s framework and the risk-benefits framework. This is supplemented by open coding to allow for emerging themes.
Findings
This paper provides empirical insights into a formerly uninvestigated population of non-users who are prevented from using social media because of social engagement (rather than functional) barriers. It identifies how these individuals face social consequences both on and off social media, resulting in social disenfranchisement.
Research limitations/implications
This is an initial exploration of the phenomenon using an interview study. For generalizability, future research should investigate non-use with a broader and random sample.
Practical implications
This paper includes design recommendations and implications for social media platform designers to mitigate the consequences experienced by socially disenfranchised non-users.
Social implications
Addressing concerns of this newly identified class of non-users is of utmost importance. As others are increasingly connected, these non-users are left behind and even ostracized – showing the dark sides of social media use and non-use.
Originality/value
This work identifies types of non-use of social media previously unrecognized in the literature.
Abstract
Purpose
The purpose of this paper is to investigate the motivations, concerns, benefits and consequences associated with non-use of social media. In doing so, it extends Wyatt’s commonly used taxonomy of non-use by identifying new dimensions in which to understand non-use of social media. This framework encompasses a previously unidentified category of non-use that is critical to understand in today’s social media environment.
Design/methodology/approach
This is an exploratory interview study with 17 self-identified social media non-users distributed across age groups and socioeconomic backgrounds. A thematic analysis is conducted based on a novel extension of Wyatt’s framework and the risk-benefits framework. This is supplemented by open coding to allow for emerging themes.
Findings
This paper provides empirical insights into a formerly uninvestigated population of non-users who are prevented from using social media because of social engagement (rather than functional) barriers. It identifies how these individuals face social consequences both on and off social media, resulting in social disenfranchisement.
Research limitations/implications
This is an initial exploration of the phenomenon using an interview study. For generalizability, future research should investigate non-use with a broader and random sample.
Practical implications
This paper includes design recommendations and implications for social media platform designers to mitigate the consequences experienced by socially disenfranchised non-users.
Social implications
Addressing concerns of this newly identified class of non-users is of utmost importance. As others are increasingly connected, these non-users are left behind and even ostracized – showing the dark sides of social media use and non-use.
Originality/value
This work identifies types of non-use of social media previously unrecognized in the literature.
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