How to Design Interfaces for Product Recommendation Agents to Influence the Purchase of Environmentally-Friendly Products

Yu, Tian; Benbasat, Izak; Cenfetelli, Ronald T.

doi:10.1109/hicss.2016.83

Cited by 3 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In situations where users do not have information about an algorithm's performance, they tend to rely on and follow the agent's recommendations (Dietvorst et al , 2015). Recent studies have shown that such systems can be designed to be persuasive or deceptive, which can lead decision-makers to make undesirable choices (Xiao and Benbasat, 2011, 2015; Yu et al , 2016). The autonomy of technology-based agents may imply that the technology makes choices with goals “in mind” that differ from those of its users.…”

Section: The Panelists' Statements: Affective and Cognitive Implicationsmentioning

confidence: 99%

Collaborating with technology-based autonomous agents

Seeber

Waizenegger

Seidel

et al. 2020

INTR

Self Cite

View full text Add to dashboard Cite

PurposeThis article reports the results from a panel discussion held at the 2019 European Conference on Information Systems (ECIS) on the use of technology-based autonomous agents in collaborative work.Design/methodology/approachThe panelists (Drs Izak Benbasat, Paul Benjamin Lowry, Stefan Morana, and Stefan Seidel) presented ideas related to affective and cognitive implications of using autonomous technology-based agents in terms of (1) emotional connection with these agents, (2) decision-making, and (3) knowledge and learning in settings with autonomous agents. These ideas provided the basis for a moderated panel discussion (the moderators were Drs Isabella Seeber and Lena Waizenegger), during which the initial position statements were elaborated on and additional issues were raised.FindingsThrough the discussion, a set of additional issues were identified. These issues related to (1) the design of autonomous technology-based agents in terms of human–machine workplace configurations, as well as transparency and explainability, and (2) the unintended consequences of using autonomous technology-based agents in terms of de-evolution of social interaction, prioritization of machine teammates, psychological health, and biased algorithms.Originality/valueKey issues related to the affective and cognitive implications of using autonomous technology-based agents, design issues, and unintended consequences highlight key contemporary research challenges that allow researchers in this area to leverage compelling questions that can guide further research in this field.

show abstract

Section: The Panelists' Statements: Affective and Cognitive Implicationsmentioning

confidence: 99%

Collaborating with technology-based autonomous agents

Seeber

Waizenegger

Seidel

et al. 2020

INTR

Self Cite

View full text Add to dashboard Cite

show abstract

“…Consequently, our way of thinking and doing actions has been influenced by the digital products around us. Internet services, mobile devices, desktop computers and video games are recognised as interactive computer technology that focuses on persuasive technology research (Yu, 2012). Persuasive technology is an extremely active multidisciplinary research field focusing on the development, design and evaluation of collaborative technologies aimed at changing the awareness and actions of endusers and social influences without any kind of coercion or deception (Bawazir, Mahmud, & Abdul Molok, 2019).…”

Section: Persuasive Technology -Fogg Behaviour Model (Fbm)mentioning

confidence: 99%

The Effects of Persuasive Technology for Influencing End-Users’ Information Security Awareness

Bawazir,

Mahmud,

Abdul Molok

et al. 2022

JISDT

View full text Add to dashboard Cite

In today’s digital world, information assets have grown in importance, demanding measures to ensure their protection. Ubiquitously, end-users are having trouble ensuring the security of their personal information. The human factor is a major source of vulnerability in the field of information security. Traditional techniques that can be used to influence information security awareness (ISA) remain prohibitively expensive, time-consuming, and repetitive. In light of these challenges, this study proposes persuasive technology to influence end-users security awareness and behaviour intention. Based on our research, persuasive technology is effective in changing end-users attitudes and behaviours. In this context, this study assesses the effectiveness of persuasive technology use for influencing end-users’ ISA. In addition, this research establishes an integrated model for improving end-users’ ISA by incorporating relevant literature and multiple empirically verified theories, including Fogg Behaviour Model (FBM), Protection Motivation Theory (PMT), Theory of Planned Behaviour (TPB), and Technology Acceptance Model (TAM). The integrated model has been proposed based on the main categories of FBM (motivation, ability, and trigger) to identify the effects of key factors in the persuasive technology context for influencing end-user ISA and behaviour intention. The prototype was developed by implementing the persuasive factors of the proposed model to measure the effectiveness of persuasive technology. Quantitative data from an experiment were gathered from 100 participants to validate the proposed research model using the paired sample T-test and partial least squares (PLS) to assess security awareness in the context of persuasive technology. The research findings show that using persuasive technology has a positive influence on ISA. The results also indicate the research model significantly predicts the key factors affecting security awareness and behaviour intention with respect to persuasive technology. Thus, this study suggests a model for the creation and development of a proactive and customised security awareness system. Therefore, persuasive technology, in general, has a positive effect on users’ security awareness and the intention of security behaviour

show abstract