How Virtual Agents Influence Online User Behavior: An Experiment and Modelling Proposal Assessing Effects on Attitudes, Loyalty and Word-O-Mouth

2019 ◽  
Author(s):  
Pablo Brice Lambert de Diesbach ◽  
Richard P. Bagozzi
Keyword(s):  
User Behavior ◽  
Virtual Agents ◽  
Online User Behavior

scholarly journals A Rights-Based Approach to Trustworthy AI in Social Media

2020 ◽  
Vol 6 (3) ◽  
pp. 205630512095467
Author(s):  
Dave Lewis ◽  
Joss Moorkens
Keyword(s):  
Social Media ◽  
User Behavior ◽  
Self Regulation ◽  
Digital Content ◽  
Virtual Agents ◽  
Data Governance ◽  
Physical Context ◽  
Data Ownership ◽  
Social Media Platforms ◽  
Institutional Analysis And Development

Social media platforms increasingly use powerful artificial intelligence (AI) that are fed by the vast flows of digital content that may be used to analyze user behavior, mental state, and physical context. New forms of AI-generated content and AI-driven virtual agents present new forms of risks in social media use, the harm of which will be difficult to predict. Delivering trustworthy social media will therefore be increasingly predicated on effectively governing the trustworthiness of its AI components. In this article, we examine different approaches to the governance AI and the Big Data processing that drives it being explored. We identify a potential over-reliance on individual rights at the expense of consideration of collective rights. In response, we propose a collective approach to AI data governance grounded in a legal proposal for universal, non-exclusive data ownership right. We use the Institutional Analysis and Development (IAD) framework to explore the relative costs and benefits on stakeholders in two use cases, one focused on digital content consumers the other focused on digital content knowledge workers. Following an analysis that looks at self-regulation and industry-state co-regulation, we propose governance through shared data ownership. In this way, future social media platforms may be able to maintain trust in their use of AI by committing to no datafication without representation.

scholarly journals Analysis of various Characteristics of Online User Behavior Models

2017 ◽  
Vol 161 (11) ◽  
pp. 5-10
Author(s):  
Dhanashree Deshpande ◽  
Shrinivas Deshpande
Keyword(s):  
User Behavior ◽  
Online User Behavior ◽  
Behavior Models

Cross-Cultural Study of Online User Behavior in Fashion E-Commerce

2017 ◽  
pp. 277-293
Author(s):  
Fanke Peng ◽  
Ni An ◽  
Alessandra Vecchi
Keyword(s):  
Technology Acceptance ◽  
User Behavior ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Chinese Market ◽  
Group Interviews ◽  
Acceptance Model ◽  
Online User Behavior

Adopting the Technology Acceptance Model (TAM) – perceived usefulness and perceived ease of use (Davis, Bagozzi, & Waeshaw, 1989) and Customer Buying Decision Process (Engel, Kollat, & Blackwell, 1968), this research examines the role of culture in influencing online shopping use, comparing differences across two continents and countries: Britain and China. Qualitative data obtained through the semi-structured focus group interviews was analysed using content analysis, which involves examining the accumulated data for ideas and constructs that have been pre-determined. The TAM held for the U.K. This project also explores whether the relationships hold for the emerging Chinese market.

scholarly journals Evolution of online user behavior during a social upheaval

2014 ◽  
Author(s):  
Onur Varol ◽  
Emilio Ferrara ◽  
Christine L. Ogan ◽  
Filippo Menczer ◽  
Alessandro Flammini
Keyword(s):  
User Behavior ◽  
Online User Behavior ◽  
Social Upheaval

Using online user behavior to predict demographics

2016 ◽  
Author(s):  
Katie Owens ◽  
Conor Mettenburg ◽  
Evan Cohen ◽  
Alex Ripley ◽  
Ruben Aghayan ◽  
...  
Keyword(s):  
User Behavior ◽  
Online User Behavior

Cross-Cultural Study of Online User Behavior in Fashion E-Commerce

2018 ◽  
pp. 1163-1178
Author(s):  
Fanke Peng ◽  
Ni An ◽  
Alessandra Vecchi
Keyword(s):  
Technology Acceptance ◽  
User Behavior ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Chinese Market ◽  
Group Interviews ◽  
Acceptance Model ◽  
Online User Behavior

Adopting the Technology Acceptance Model (TAM) – perceived usefulness and perceived ease of use (Davis, Bagozzi, & Waeshaw, 1989) and Customer Buying Decision Process (Engel, Kollat, & Blackwell, 1968), this research examines the role of culture in influencing online shopping use, comparing differences across two continents and countries: Britain and China. Qualitative data obtained through the semi-structured focus group interviews was analysed using content analysis, which involves examining the accumulated data for ideas and constructs that have been pre-determined. The TAM held for the U.K. This project also explores whether the relationships hold for the emerging Chinese market.

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