4,336 research outputs found
Investigating the Effect of Persuasive Design on Online Usersâ Persuasion Awareness
Due to the growth of Big Data and associated technologies, persuasion practices in online settings have been increasing. However, the use of technologies is a two-edged sword. Technologies can be used to influence users without their awareness of being persuaded, making them more vulnerable to such influence. Recently this concern has been more pronounced due to the revelation of Facebookâs target ads sponsored by the Russian government during the 2016 US presidential election. Despite its importance, persuasion awareness has received less attention in IS research. As technologies have been embedded throughout online platforms and provided more insights about their users, there is a substantial possibility persuading users via the use of technology design. Thus, the likelihood of being persuaded without awareness will increase. To this end, we aim to address the two specific research questions: What are key forms of persuasive design which influence online usersâ persuasion awareness? How does persuasive design form influence online usersâ persuasion awareness and behavioral responses?
To answer these questions, we apply Persuasion Knowledge Model which explains persuasion awareness in the offline context and personalization literature to outline how online users perceive and respond to a persuasion attempt triggered by persuasive website design. Drawing on Decision Support System, we identify three forms of persuasive design in online settingsâsuggestive, informative, and supportive design. We expect that this research will provide a theoretical model to enhance understanding of online usersâ persuasion awareness and inform website designers to design websites which promote usersâ informed judgments and decisions
Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework
Within the next decade, robots (intelligent agents that are able to perform tasks normally requiring human intelligence) may become more popular when delivering healthcare services to patients. The use of robots in this way may be daunting for some members of the public, who may not understand this technology and deem it untrustworthy. Others may be excited to use and trust robots to support their healthcare needs. It is argued that (1) context plays an integral role in Information Systems (IS) research and (2) technology demonstrating anthropomorphic or system-like features impact the extent to which an individual trusts the technology. Yet, there is little research which integrates these two concepts within one study in healthcare. To address this gap, we develop a theoretical framework that considers trusting intentions towards robots based on the interaction of humans and robots within the contextual landscape of delivering healthcare services. This article presents a theory-based approach to developing effective trustworthy intelligent agents at the intersection of IS and Healthcare
ANGELAH: A Framework for Assisting Elders At Home
The ever growing percentage of elderly people within modern societies poses welfare systems under relevant stress. In fact, partial and progressive loss of motor, sensorial, and/or cognitive skills renders elders unable to live autonomously, eventually leading to their hospitalization. This results in both relevant emotional and economic costs. Ubiquitous computing technologies can offer interesting opportunities for in-house safety and autonomy. However, existing systems partially address in-house safety requirements and typically focus on only elder monitoring and emergency detection. The paper presents ANGELAH, a middleware-level solution integrating both âelder monitoring and emergency detectionâ solutions and networking solutions. ANGELAH has two main features: i) it enables efficient integration between a variety of sensors and actuators deployed at home for emergency detection and ii) provides a solid framework for creating and managing rescue teams composed of individuals willing to promptly assist elders in case of emergency situations. A prototype of ANGELAH, designed for a case study for helping elders with vision impairments, is developed and interesting results are obtained from both computer simulations and a real-network testbed
Investigating the relationship between AI and trust in human-AI collaboration
With the increasing development of information technology, the implementation of artificial intelligence (AI) has been widespread and has empowered virtual team collaboration by increasing collaboration efficiency and achieving superior collaboration results in recent years. Trust in the process of human-AI interaction has been identified as a challenge for team collaboration in this context. However, little research has investigated the relationship between human-AI interaction and trust. This study proposes a theoretical model of the relationship between human-AI interaction and team membersâ trust during collaboration processes. We conclude that team membersâ cognitive and emotional perceptions during the interaction process are associated with their trust towards AI. Moreover, the relationship could also be moderated by the specific AI implementation traits. Our model provides a holistic view of human-AI interaction and its association with team membersâ trust in the context of team collaboration
Conversational affective social robots for ageing and dementia support
Socially assistive robots (SAR) hold significant potential to assist older adults and people with dementia in human engagement and clinical contexts by supporting mental health and independence at home. While SAR research has recently experienced prolific growth, long-term trust, clinical translation and patient benefit remain immature. Affective human-robot interactions are unresolved and the deployment of robots with conversational abilities is fundamental for robustness and humanrobot engagement. In this paper, we review the state of the art within the past two decades, design trends, and current applications of conversational affective SAR for ageing and dementia support. A horizon scanning of AI voice technology for healthcare, including ubiquitous smart speakers, is further introduced to address current gaps inhibiting home use. We discuss the role of user-centred approaches in the design of voice systems, including the capacity to handle communication breakdowns for effective use by target populations. We summarise the state of development in interactions using speech and natural language processing, which forms a baseline for longitudinal health monitoring and cognitive assessment. Drawing from this foundation, we identify open challenges and propose future directions to advance conversational affective social robots for: 1) user engagement, 2) deployment in real-world settings, and 3) clinical translation
Immersive Technologies in Virtual Companions: A Systematic Literature Review
The emergence of virtual companions is transforming the evolution of
intelligent systems that effortlessly cater to the unique requirements of
users. These advanced systems not only take into account the user present
capabilities, preferences, and needs but also possess the capability to adapt
dynamically to changes in the environment, as well as fluctuations in the users
emotional state or behavior. A virtual companion is an intelligent software or
application that offers support, assistance, and companionship across various
aspects of users lives. Various enabling technologies are involved in building
virtual companion, among these, Augmented Reality (AR), and Virtual Reality
(VR) are emerging as transformative tools. While their potential for use in
virtual companions or digital assistants is promising, their applications in
these domains remain relatively unexplored. To address this gap, a systematic
review was conducted to investigate the applications of VR, AR, and MR
immersive technologies in the development of virtual companions. A
comprehensive search across PubMed, Scopus, and Google Scholar yielded 28
relevant articles out of a pool of 644. The review revealed that immersive
technologies, particularly VR and AR, play a significant role in creating
digital assistants, offering a wide range of applications that brings various
facilities in the individuals life in areas such as addressing social
isolation, enhancing cognitive abilities and dementia care, facilitating
education, and more. Additionally, AR and MR hold potential for enhancing
Quality of life (QoL) within the context of virtual companion technology. The
findings of this review provide a valuable foundation for further research in
this evolving field
Between Fear and Trust: Factors Influencing Older Adults' Evaluation of Socially Assistive Robots
Socially Assistive Robots (SARs) are expected to support autonomy, aging in
place, and wellbeing in later life. For successful assimilation, it is
necessary to understand factors affecting older adults Quality Evaluations
(QEs) of SARs, including the pragmatic and hedonic evaluations and overall
attractiveness. Previous studies showed that trust in robots significantly
enhances QE, while technophobia considerably decreases it. The current study
aimed to examine the relative impact of these two factors on older persons QE
of SARs. The study was based on an online survey of 384 individuals aged 65 and
above. Respondents were presented with a video of a robotic system for physical
and cognitive training and filled out a questionnaire relating to that system.
The results indicated a positive association between trust and QE and a
negative association between technophobia and QE. A simultaneous exploration
demonstrated that the relative impact of technophobia is significantly more
substantial than that of trust. In addition, the pragmatic qualities of the
robot were found to be more crucial to its QE than the social aspects of use.
The findings suggest that implementing robotics technology in later life
strongly depends on reducing older adults technophobia regarding the
convenience of using SARs and highlight the importance of simultaneous
explorations of facilitators and inhibitors
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