"Feel, Don't Think" Review of the Application of Neuroscience Methods for Conversational Agent Research

2022 | European Conference On Information Systems | Citations: 0

Authors: Greulich, R. Stefan; Brendel, Alfred Benedikt

Abstract: Conversational agents (CAs) equipped with human-like features (e.g., name, avat ... Expand

Abstract: Conversational agents (CAs) equipped with human-like features (e.g., name, avatar) have been reported to induce the perception of humanness and social presence in users, which can also increase other aspects of users' affection, cognition, and behavior. However, current research is primarily based on self-reported measurements, leaving the door open for errors related to the self-serving bias, socially desired responding, negativity bias and others. In this context, applying neuroscience methods (e.g., EEG or MRI) could provide a means to supplement current research. However, it is unclear to what extent such methods have already been applied and what future directions for their application might be. Against this background, we conducted a comprehensive and transdisciplinary review. Based on our sample of 37 articles, we find an increased interest in the topic after 2017, with neural signal and trust/decision-making as upcoming areas of research and five separate research clusters, describing current research trends. Collapse

Topics: database system decision making search engine social presence

Methods: neurophysiology literature sample cluster analysis time series analysis longitudinal research

Examining the Neural Basis of Information Security Policy Violations: A Noninvasive Brain Stimulation Approach

2021 | Management Information Systems Quarterly | Citations: 2

Authors: Turel, Ofir; He, Qinghua; Wen, Yatong

Abstract: Nonmalicious information security policy (ISP) violations can cause organization ... Expand

Abstract: Nonmalicious information security policy (ISP) violations can cause organizations significant harm. Here, we aim to extend the understanding of why employees engage in such acts. A large body of ISP violation research is based on the tenet that people violate ISPs to obtain personal benefits, as explained by rational choice and expectancy theories. But this assumption has only been weakly tested, using mostly correlational approaches. Our objective is to improve the causal basis for this argument by using a noninvasive brain stimulation (NIBS) technique, which actually modulates brain activity in regions of the brain that process value/gain assessments. Therefore, it can substantially increase the claim of causality—that expected rewards lead to ISP violations. To do so, we build on expectancy theory and neuroscience knowledge to theorize why reducing the excitability of neurons in the left dorsolateral prefrontal cortex (L DLPFC) can lower the endorsement of ISP violations. We test this idea in four experiments in which we use a NIBS technique called high-definition direct current stimulation (HD-tDCS). Our findings support the assertion that the L DLPFC is likely involved in the expectancy theory of ISP violations, and that endorsing such violations can be experimentally adjusted with NIBS techniques. These findings extend the understanding of cybersecurity behaviors, improve the causal support for the common assumption made by rational choice theory studies that ISP violations are motivated through perceived benefits, point to the need to consider the L DLPFC in research on positively valenced (or attractive) technology-mediated actions, and pave the way for future use of brain stimulation techniques for stronger causality claims in information systems research. Collapse

Topics: decision making cybersecurity behavior information system use user behavior online dating

Methods: experiment analysis of covariance brain stimulation NeuroIS qualitative interview

Theories: expectancy theory of motivation motivation theory rational choice theory elaboration likelihood model

A Decade of NeuroIS Research: Progress, Challenges, and Future Directions

2020 | ACM SIGMIS Database | Citations: 0

Authors: Riedl, René; Fischer, Thomas; Léger, Pierre-Majorique; Davis, Fred D.

Abstract: NeuroIS is a field in Information Systems (IS) that makes use of neuroscience an ... Expand

Abstract: NeuroIS is a field in Information Systems (IS) that makes use of neuroscience and neurophysiological tools and knowledge to better understand the development, adoption, and impact of information and communication technologies. The fact that NeuroIS now exists for more than a decade motivated us to comprehensively review the academic literature. Investigation of the field's development provides insights into the status of NeuroIS, thereby contributing to identity development in the NeuroIS field. Based on a review of N=200 papers published in 55 journals and 13 conference proceedings in the period 2008-2017, we addressed the following four research questions: Which NeuroIS topics were investigated? What kind of NeuroIS research was published? How was the empirical NeuroIS research conducted? Who published NeuroIS research? Based on a discussion of the findings and their implications for future research, which considers results of a recent NeuroIS survey (N=60 NeuroIS scholars), we conclude that today NeuroIS can be considered an established research field in the IS discipline. However, our review also indicates that further efforts are necessary to advance the field, both from a theoretical and methodological perspective. Collapse

Topics: IT security threat human computer interaction usability internet technology virtual reality

Methods: NeuroIS literature sample literature study oculometry longitudinal research

Theories: neuroscience theory