{"id":156426,"date":"2025-12-25T08:22:03","date_gmt":"2025-12-25T08:22:03","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T00:00:00","slug":"extending-the-technology-acceptance-model-to-address-both-security-concerns-and-emotional-engagement-in-older-adults-using-voice-assistants-3597922","status":"publish","type":"post","link":"https:\/\/www.simbo.ai\/blog\/extending-the-technology-acceptance-model-to-address-both-security-concerns-and-emotional-engagement-in-older-adults-using-voice-assistants-3597922\/","title":{"rendered":"Extending the Technology Acceptance Model to Address Both Security Concerns and Emotional Engagement in Older Adults Using Voice Assistants"},"content":{"rendered":"<p>The use of voice assistants helps deliver services such as medication reminders, appointment scheduling, and general health information.<br \/>\nHowever, adoption of these technologies by elderly users is influenced by more than just the device\u2019s functionality or ease of use.<br \/>\nFor medical practice administrators, owners, and IT managers in the United States, understanding the factors that affect older adults&#8217; acceptance of voice assistants is important.<br \/>\nA recent study published by Elsevier Ltd. in <i>Heliyon<\/i>, led by Mingzhou Liu, Caixia Wang, and Jing Hu, expands on this topic by extending the Technology Acceptance Model (TAM) to include both usability factors and emotional needs.<br \/>\nThis gives a full framework for understanding how older adults use voice assistant technology.<\/p>\n<h2>Understanding the Extended Technology Acceptance Model (TAM) for Older Adults<\/h2>\n<p>The original Technology Acceptance Model (TAM) has been widely used to study how users accept new technology.<br \/>\nIt focuses mainly on perceived ease of use and perceived usefulness.<br \/>\nHowever, for older adults using voice assistants, this model needed to be expanded to better include the special usability challenges and emotional factors they face.<\/p>\n<p>The expanded TAM in this study has two main parts:<\/p>\n<ul>\n<li>Usability Needs<\/li>\n<li>Emotional Needs<\/li>\n<\/ul>\n<p>These parts were tested with data from 425 older VA users across the United States using structural equation modeling (SEM).<\/p>\n<h2>Usability Needs for Older VA Users<\/h2>\n<p>When we talk about usability, older adults think about some practical things that affect how comfortable and trusting they feel with voice assistants:<\/p>\n<ul>\n<li><b>Perceived Convenience:<\/b> Older adults like voice assistants that make communication and interaction easier without using complicated steps.<br \/>\nConvenience means quick answers, simple commands, and being able to help with everyday tasks like making phone calls or getting medical information.<\/li>\n<li><b>Security and Privacy:<\/b> Because personal health information is private, security and privacy are very important.<br \/>\nOlder adults may be hesitant to use technology unless they trust that their data is safe.<br \/>\nSecurity features that protect against unauthorized access or data leaks affect whether they want to use it.<\/li>\n<li><b>Internet Self-Efficacy:<\/b> This means how confident a person feels about using the internet and voice technology.<br \/>\nMany seniors have different levels of digital skills that can affect how easily they use VAs.<br \/>\nTraining and simple interfaces that build this confidence are very important.<\/li>\n<\/ul>\n<p>These usability points are especially important for medical offices that want to keep patient trust when they use AI-based communication tools like phone automation.<\/p>\n<h2>Emotional Needs Influencing Adoption<\/h2>\n<p>The study also looks beyond just how the technology works.<br \/>\nIt focuses on emotional connection as an important reason older adults may use voice assistants.<br \/>\nEmotional needs include:<\/p>\n<ul>\n<li><b>Humanized Interaction:<\/b> Older adults like it when technology talks in a way that feels natural and friendly, not robotic.<\/li>\n<li><b>Perceived Enjoyment:<\/b> Enjoyment means using the technology feels fun and less like a task.<\/li>\n<li><b>Perceived Companionship:<\/b> This is the most important emotional factor.<br \/>\nMany older adults feel lonely or isolated, and voice assistants can help by giving a sense of company and interaction, even if it is artificial.<\/li>\n<\/ul>\n<p>Emotional connection with VAs gives social and mental benefits beyond just routine tasks.<br \/>\nThat makes these devices more useful and liked by older users.<\/p>\n<h2>Key Findings from the Study Relevant to U.S. Healthcare Practices<\/h2>\n<p>The study\u2019s findings have useful ideas for healthcare managers and IT staff who want to use voice assistants for older patients.<\/p>\n<ul>\n<li><b>Perceived Companionship as the Leading Factor:<\/b> The study shows that feeling companionship matters more than ease of use when deciding to try VAs.<br \/>\nOlder adults are shown to want the emotional connection they can get with the technology.<\/li>\n<li><b>Ease of Use Has Less Impact When Technology Is Already Easy:<\/b> Once a technology is easy to use, how easy it is no longer strongly affects whether older adults will adopt it.<br \/>\nThis means healthcare providers should focus more on emotional needs and security rather than just making the interface simpler.<\/li>\n<li><b>Security and Privacy Remain Vital:<\/b> Because health information is sensitive, older users stay very concerned about data safety.<br \/>\nThis worry affects whether they want to use voice assistants.<\/li>\n<li><b>Importance of Internet Self-Efficacy:<\/b> Seniors who feel confident using technology are more likely to use voice assistants.<br \/>\nSupport and digital skills make a difference.<\/li>\n<\/ul>\n<p>Healthcare offices in the United States can use these findings to improve how they communicate with older patients.<br \/>\nSome older adults may not be very tech-savvy but value emotional support and data security.<\/p>\n<h2>The Role of AI and Workflow Automation in Healthcare Practices Using Voice Assistants<\/h2>\n<p>Healthcare providers who want to improve front-office work can use AI-powered voice assistants.<br \/>\nThese tools can lower administrative tasks, improve how patients communicate, and support the needs of older adults.<br \/>\nKnowing how technology and seniors\u2019 preferences work together helps make the rollout successful.<\/p>\n<h2>AI for Front-Office Phone Automation<\/h2>\n<p>Voice assistants with AI can handle common front-office jobs like:<\/p>\n<ul>\n<li>Scheduling and confirming appointments<\/li>\n<li>Providing clinic hours and directions<\/li>\n<li>Answering frequent questions<\/li>\n<li>Checking basic medical problems or concerns<\/li>\n<li>Gathering initial patient info before visits<\/li>\n<\/ul>\n<p>Automating these tasks lets medical staff focus more on difficult patient needs while staying responsive.<\/p>\n<h2>Addressing Older Adults&#8217; Security Concerns in Automation<\/h2>\n<p>Any AI system that handles personal health information must follow rules like HIPAA to protect data.<br \/>\nThis means:<\/p>\n<ul>\n<li>Encrypting all voice and data transactions<\/li>\n<li>Keeping data only as long as needed<\/li>\n<li>Making sure users agree and know how data is used<\/li>\n<li>Using secure methods to check user identity for sensitive tasks<\/li>\n<\/ul>\n<p>These steps build trust for older users and protect their privacy.<br \/>\nThis makes them more likely to use AI tools.<\/p>\n<h2>Emotional Engagement via AI Conversational Agents<\/h2>\n<p>Advanced voice assistants can use language technology to feel more human-like by:<\/p>\n<ul>\n<li>Recognizing how a user feels and answering kindly<\/li>\n<li>Talking in a friendly way<\/li>\n<li>Remembering past conversations to make answers personal<\/li>\n<li>Offering companionship through casual talk or reminders about social or health activities<\/li>\n<\/ul>\n<p>This helps medical offices give emotional care, especially to older patients who live alone or have few social contacts.<\/p>\n<h2>Workflow Automation Benefits for Practice Efficiency<\/h2>\n<p>Using voice assistants helps with:<\/p>\n<ul>\n<li>Reaching out to patients and reducing missed appointments<\/li>\n<li>Making patient check-in faster and cutting wait times<\/li>\n<li>Sending health alerts or vaccine reminders efficiently<\/li>\n<li>Handling many calls better, especially after office hours<\/li>\n<\/ul>\n<p>AI can decide which calls need urgent attention and get healthcare staff involved quickly.<\/p>\n<h2>Practical Considerations for Implementation in U.S. Healthcare Settings<\/h2>\n<p>When bringing in voice assistant technology for older adults, healthcare leaders and IT managers should think about these points:<\/p>\n<ul>\n<li><b>User-Centered Design:<\/b> Voice assistants should meet both emotional and practical needs so older adults feel safe and supported.<\/li>\n<li><b>Training and Support:<\/b> Providing lessons, demonstrations, or easy guides can improve seniors\u2019 confidence using the internet and devices.<\/li>\n<li><b>Customization for Emotional Engagement:<\/b> Voice software should include features for companionship and enjoyment based on what older patients like.<\/li>\n<li><b>Security Protocols:<\/b> Clear explanations about data privacy and using HIPAA-compliant vendors help build user trust.<\/li>\n<li><b>Continuous Feedback:<\/b> Collecting user opinions and updating AI to respond better helps improve the experience over time.<\/li>\n<li><b>Integration with Existing Systems:<\/b> Voice assistants should connect easily with Electronic Health Records (EHR) and practice management systems for smooth data flow.<\/li>\n<\/ul>\n<h2>Impact on Quality of Life for Older Adults<\/h2>\n<p>The emotional connection from voice assistants can affect older adults\u2019 well-being.<br \/>\nUsing technology that does more than just tasks can reduce feelings of loneliness and isolation.<br \/>\nAlso, the convenience and safety of AI-driven communication tools encourage seniors to stay involved in their health care.<\/p>\n<p>This matches the goals of elder care by helping seniors stay independent, communicate timely, and keep social ties.<br \/>\nFor medical offices, improving satisfaction among older adults can also lead to better health outcomes by helping patients follow care plans.<\/p>\n<h2>Summary of the Study\u2019s Contributions to Healthcare AI<\/h2>\n<ul>\n<li>The research by Liu, Wang, and Hu shows that adding emotional needs to the Technology Acceptance Model gives a fuller picture of how older adults use technology.<\/li>\n<li>Emotional needs like companionship change how healthcare managers might judge how well voice assistants work.<\/li>\n<li>Security and privacy are basic usability needs in medical settings and strongly affect seniors\u2019 acceptance.<\/li>\n<li>For U.S. healthcare, AI and voice technology must respect patients&#8217; emotional well-being while securing data to be widely accepted by older users.<\/li>\n<\/ul>\n<p>Voice assistants that meet these extended needs can improve healthcare communication and social health for elderly patients in the U.S.<br \/>\nBy focusing on emotional connection, convenience, and security, healthcare leaders can help older adults use technology that supports healthier and more connected living.<\/p>\n<section class=\"faq-section\">\n<h2 class=\"section-title\">Frequently Asked Questions<\/h2>\n<div class=\"faq-container\">\n<details>\n<summary>What are the main factors influencing older adults&#8217; intention to use voice assistants (VAs)?<\/summary>\n<div class=\"faq-content\">\n<p>The main factors influencing older adults&#8217; intention to use VAs are usability needs and emotional needs. Usability includes perceived convenience, security\/privacy, and Internet self-efficacy, while emotional needs comprise humanized interaction, perceived enjoyment, and perceived companionship.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>Which factor has the most critical impact on older adults adopting voice assistants?<\/summary>\n<div class=\"faq-content\">\n<p>Perceived companionship is the most critical factor affecting older adults&#8217; intention to adopt voice assistants, highlighting the importance of VAs in fulfilling the emotional needs of elderly users.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>How does perceived ease of use affect older adults&#8217; behavioral intention to use voice assistants?<\/summary>\n<div class=\"faq-content\">\n<p>The study found no significant relationship between perceived ease of use and behavioral intention among older adults, indicating that when a technology is perceived as very easy, ease of use does not strongly influence the intention to use it.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>What research model was extended to study older adults&#8217; technology adoption in this work?<\/summary>\n<div class=\"faq-content\">\n<p>The Technology Acceptance Model (TAM) was extended by incorporating factors related to usability and emotional needs to better understand older adults&#8217; intention to use voice assistants.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>What usability needs are considered important for older adults using voice assistants?<\/summary>\n<div class=\"faq-content\">\n<p>Key usability needs include perceived convenience, concerns for security and privacy, and Internet self-efficacy that affect how older adults interact with voice assistants.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>Why is emotional need important in designing voice assistants for seniors?<\/summary>\n<div class=\"faq-content\">\n<p>Emotional needs, such as perceived companionship and humanized interaction, are crucial because they address the loneliness and social connection challenges faced by seniors, increasing their likelihood to adopt and use voice assistants.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>What practical insights does this research provide for developers of voice assistants?<\/summary>\n<div class=\"faq-content\">\n<p>The research advises developers to focus on creating voice assistants that fulfill both usability and emotional needs of elderly users, particularly emphasizing companionship features to improve acceptance and quality of life.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>How does the study contribute to assistive technology and geriatric care fields?<\/summary>\n<div class=\"faq-content\">\n<p>It provides empirical validation of factors promoting VA adoption among seniors, guiding designers, developers, and policymakers to create more effective, user-centered assistive technologies that support elderly well-being.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>What sample size was used to validate the extended TAM model in this research?<\/summary>\n<div class=\"faq-content\">\n<p>The research used a sample of 425 older voice assistant users to empirically validate the extended technology acceptance model incorporating usability and emotional factors.<\/p>\n<\/p><\/div>\n<\/details>\n<details>\n<summary>What is the broader significance of this study\u2019s findings for elderly technology adoption?<\/summary>\n<div class=\"faq-content\">\n<p>The study highlights the critical role of emotional needs in technology acceptance among the elderly, encouraging future designs of voice assistants that promote emotional engagement, companionship, and practical usability to boost adoption and improve seniors&#8217; quality of life.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>The use of voice assistants helps deliver services such as medication reminders, appointment scheduling, and general health information. However, adoption of these technologies by elderly users is influenced by more than just the device\u2019s functionality or ease of use. For medical practice administrators, owners, and IT managers in the United States, understanding the factors that [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-156426","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/156426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/comments?post=156426"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/156426\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=156426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=156426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=156426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}