The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations

2020 | International Conference on Information Systems | Citations: 0

Authors: Ochmann, Jessica; Michels, Leonard; Zilker, Sandra; Tiefenbeck, Verena; Laumer, Sven

Abstract: Artificial intelligence (AI) offers promising tools to support the job-seeking p ... Expand

Abstract: Artificial intelligence (AI) offers promising tools to support the job-seeking process by providing automatic and user-centered job recommendations. However, job seekers often hesitate to trust AI-based recommendations in this context given the far-reaching consequences of the importance of the decision for a job on their future career and life. This hesitation is largely driven by a lack of explainability, as underlying algorithms are complex and not clear to the user. Prior research suggests that anthropomorphization (i.e., the attribution of human traits) can increase the acceptance of technology. Therefore, we adapted this concept for AI-based recommender systems and conducted a survey-based study with 120 participants. We find that that using an anthropomorphic design in a recommender system for open positions increases job seekers' acceptance of the underlying system. However, algorithm aversion rises if detailed information on the algorithmic origin is being disclosed. Collapse

Topics: artificial intelligence recommender system technophobia logistics management social media

Methods: computational algorithm survey logistic regression experimental group statistical hypothesis test

“How does tech make you feel?” a review and examination of negative affective responses to technology use

2018 | European Journal of Information Systems | Citations: 0

Authors: Agogo, David; Hess, Traci J.

Abstract: The study of individual, affect-related consequences from technology adoption an ... Expand

Abstract: The study of individual, affect-related consequences from technology adoption and use is gaining traction in the information systems discipline. Efforts to explore affective reactions to technology have considered positive, affective constructs (e.g., enjoyment, playfulness, and flow), with a more recent focus on the dark side of technology use and constructs such as technostress, technophobia, and computer anxiety. While some research has examined these negative affective responses to technology, construct definitions and relationships are not well-defined or theoretically grounded. In this research, an integrative literature review is conducted on computer anxiety, technophobia and technostress, and the known antecedents, dimensions, and outcomes of each concept are organised into nomological networks. These nomological networks are then combined to identify inconsistencies and omissions in the literature. The Affective Response Model, a recently advanced, theoretically grounded taxonomy of affective responses to technology, is applied to differentiate the three constructs and to introduce technology-induced state anxiety (TISA), a new temporal (state-like) negative response to a specific instance of technology. Two empirical studies are conducted using existing and newly developed scales, and demonstrate that computer anxiety, technophobia, technostress and TISA are conceptually and empirically distinct and provide insight into how these constructs are related. Future research opportunities on affective responses to technology are described based on the integrated nomological network and empirical findings. Collapse

Topics: technostress technophobia information system use database system productivity

Methods: survey literature study data transformation experiment exploratory factor analysis

Internet Use from the Perspective of the Theory of Planned Behaviour

2007 | Americas Conference on Information Systems | Citations: 0

Authors: Kerschbaum, Johann; Donat, Elisabeth; Brandtweiner, Roman

Abstract: The paper aims to develop a new typology of Internet users on basis of a recentl ... Expand

Abstract: The paper aims to develop a new typology of Internet users on basis of a recently conducted telephone survey in Austria (January 2007, N=529, representative sample). In comparison to existing typologies, we elaborate our typology not by concentrating on duration or frequency of internet usage but by location of usage. Considering the location of usage, we can get hints about peoples motivation and interest in the internet, their types of usage and their internet literacy.The typology is validated by using elements of the Theory of planned behaviour. We can confirm the strong influence of the main determinants on behaviour as postulated by the Theory of planned behaviour, namely attitudes toward behaviour, behavioural control and social norms. By concentrating on individual behaviour, our approach is settled on the micro-level of explanation of collective phenomena. Thus our results can be embedded in a larger, multilevel model of collective behaviour. Collapse

Topics: internet technology information system use innovation management digital literacy diffusion of innovation

Methods: survey Student's t-test qualitative interview descriptive statistic hierarchical linear modeling

Theories: theory of planned behavior behavioral theory