scholarly journals HARNESSING VOICE-ASSISTED TECHNOLOGY AND IN-HOME SENSORS TO MANAGE OLDER ADULT HEALTH: A USER PREFERENCE STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S926-S927
Author(s):  
Erin L Robinson ◽  
Geunhye Park ◽  
Shradha Shalini ◽  
Trevor Levins ◽  
Kari R Lane ◽  
...  
Keyword(s):  
Older Adults ◽  
Speech Recognition ◽  
Technology Acceptance ◽  
Family Member ◽  
Health Information ◽  
Recognition Test ◽  
User Preferences ◽  
Valuable Insight ◽  
Advantages And Disadvantages ◽  
Assisted Technologies

Abstract In recent years voice-assisted technologies, such as the Amazon Echo Show and Google Home, have been harnessed to help older adults manage their health. However, little is known about the use of such technologies in combination with in-home sensor systems to help older adults age in place. Therefore, this research explored user preferences of older adults and a designated family member/friend in using voice-assisted technologies to retrieve in-home sensor-generated health information, such as fall risk and other early indicators of health changes. Seventeen dyad interviews were conducted with known pairs of older adults (Mean age=75; 56% female) and a family member/friend (Mean age=64; 89% female). Participants were given a description of the technology and its capabilities, and then were instructed to interact with each device using a prepared scenario. Participants asked each device health-related questions to elicit pre-programmed information for the respective scenarios and provided user experience feedback for each device. At the end of the interview, participants completed a speech recognition test for each device and a technology acceptance survey. Overall acceptance of the technology was high, and participants believed that using voice-assisted technologies to retrieve sensor-generated health information would be beneficial in managing their health or providing care to a family member/friend. However, advantages and disadvantages exist with each device and the Google Home generally performed better on the speech recognition test for each dyad pair. These findings provide valuable insight about older adults’ preferences (as well as family members’/friends) in using voice-assisted technologies to manage their health.

scholarly journals Designing Conversational Agents to Support Self-Regulated Learning for Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 124-124
Author(s):  
Jessie Chin ◽  
Smit Desai
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Everyday Life ◽  
Health Information ◽  
Life Support ◽  
Conversational Agents ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Novice Users ◽  
Barriers To Use

Abstract The rapid growth of the off-the-shelf smart speakers (such as Amazon Alexa and Google Home), also called Conversational Agents (CAs), creates potential to deliver everyday life support to users at home (such as checking weather, listening to news, scheduling events). Literature demonstrated the technology acceptance of CAs among older adults (including novice users) given the low barriers to use CAs. The natural conversations among CAs and users enable the opportunities to build deeper understandings about a topic through theory-driven guided dialogues. Our study has designed the metacognition strategies in the guided dialogues of CAs to support informal self-regulated learning of health information among older adults. The study has shown the feasibility and acceptance of CAs to help older adults learn new health information on their own through these guided dialogues. Additional analyses on the feasibilities to implement different metacognitive strategies in guided dialogues in the off-the-shelf CAs were also conducted.

Older adults and internet health information seeking

2005 ◽  
Author(s):  
Tamer El-Attar ◽  
Jarvis Gray ◽  
Sankaran N. Nair ◽  
Raymond Ownby ◽  
Sara J. Czaja
Keyword(s):  
Older Adults ◽  
Health Information ◽  
Information Seeking ◽  
Health Information Seeking ◽  
Internet Health Information

scholarly journals ASIAN OLDER ADULTS’ ONLINE AND OFFLINE HEALTH INFORMATION PREFERENCES AND BEHAVIORS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S412-S412
Author(s):  
Bo Xie ◽  
Kristina Shiroma
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Ethnic Minority ◽  
Health Information ◽  
Survey Data ◽  
National Study ◽  
Information Preferences ◽  
Internet Users ◽  
And Behaviors ◽  
Older Chinese

Abstract Older adults living in Asia or of Asian origin have unique preferences for information that require special attention. This symposium focuses on the health information preferences and behaviors of Asian older adults. Song et al. investigated the relationship between Internet use and perceived loneliness among Older Chinese using from survey data collected in the 2015 wave of the China Health and Retirement Longitudinal Study (CHARLS), a national study involving 12,400 households in Mainland China. Multiple regression results suggest that older Chinese Internet users perceived significantly less loneliness compared with their age peers who were non-Internet users. Zhang et al. investigated the role of information and communication technologies in supporting antiretroviral therapy (ART)-related knowledge seeking among older Chinese with HIV. Their cross-sectional survey data were collected from 2012 to 2013 in Guangxi, China. The results suggest that less than 5% of the participants sought HIV-related information via computers. Patients less knowledgeable about ART were more likely than those more knowledgeable to consult medical professionals about the disease via cell phones. Shiroma et al. report findings of a systematic literature review conducted in spring 2019 that examined Asian ethnic minority older adults’ preferences for end-of-Life (EOL) information seeking and decision making. The results suggest Asian ethnic minority older adults are understudied in the literature on EOL information and decision making, especially in terms of their unique cultural contexts. Du et al. examined how health information obtained from different types of social networks affect osteoporosis self-management behaviors among older White and Asian women.

scholarly journals Developing a Healthcare Technology Acceptance Model (H-TAM) for Older Adults with Hypertension

2021 ◽  
pp. 1-21
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Self Management ◽  
Healthcare Technology ◽  
Perceived Need ◽  
Healthcare Technologies ◽  
Acceptance Model

Abstract Older adults with a chronic health condition (e.g. hypertension) use various self-management methods. Healthcare technologies have the potential to support health self-management. However, it is necessary to understand the acceptance of these technologies as a precursor to older adults’ adoption and integration into their health plan. Our focus was on the factors older adults with hypertension initially consider when introduced to three new healthcare technologies that might support their health self-management. We compared their considerations for a blood pressure monitor, an electronic pillbox and a multifunction robot to simulate incrementally more complex technologies. Twenty-three participants (aged 65–84) completed four questionnaires and a semi-structured interview. The interview transcripts were analysed using a thematic analysis approach. We identified the factors that were frequently mentioned among the participants for each of the three healthcare technologies. The factors that older adults initially considered were familiarity, perceived benefits, perceived ease of use, perceived need for oneself, relative advantage, complexity and perceived need for others. Upon further reflection, participants considered advice acceptance, compatibility, convenience, facilitating conditions, perceived usefulness, privacy, subjective norm, and trust. We integrated the factors that older adults considered into the Healthcare Technology Acceptance Model (H-TAM), which elucidates the complexity of healthcare technology acceptance and provides guidance for future explorations.

scholarly journals Nutrition in Disguise: Effects of Food Neophobia, Healthy Eating Interests and Provision of Health Information on Liking and Perceptions of Nutrient-Dense Foods in Older Adults

Foods ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 60
Author(s):  
Olivia C. Romaniw ◽  
Ritika Rajpal ◽  
Alison M. Duncan ◽  
Heather H. Keller ◽  
Lisa M. Duizer
Keyword(s):  
Older Adults ◽  
Health Information ◽  
Residential Care ◽  
Healthy Eating ◽  
Food Neophobia ◽  
Older Consumers ◽  
Nutrient Density ◽  
Wide Range ◽  
Test Population ◽  
Hedonic Scale

Older adults (60+ years) are at higher risk of malnutrition. Improving the nutrient-density of their diets is important but presents challenges due to the introduction of new ingredients, liking implications and heterogeneity of older consumers. Ten nutrient-enhanced foods were evaluated for liking (9-point hedonic scale) and sensory perception (check-all-that-apply) by 71 older adults. Three foods were re-evaluated after participants were provided with information about their healthy ingredients and benefits. Participants were also segmented based on their degrees of food neophobia and interests in healthy eating, using questionnaires. The results showed that eight foods had adequate sensory appeal (overall hedonic score of ≥6) to be pursued for residential care menus. Segmentation based on food neophobia and healthy eating interests did not yield any meaningful differences between groups. The effect of health information on liking for the overall sample and subgroups was product-specific: liking scores only increased for the raspberry banana smoothie in the overall test population and higher healthy eating interest subgroup. Health information may lead to the experience of more positive attributes in some foods. Overall, eight foods that were tested could be accepted by a wide range of consumers and providing them with health information may further improve acceptance.

Evaluating a theory-based intervention for improving eHealth literacy in older adults: A single group, pretest–posttest design (Preprint)

2021 ◽  
Author(s):  
Kyoung-Eun Lee ◽  
Sun Ju Chang ◽  
Eunjin Yang ◽  
Hyunju Ryu
Keyword(s):  
Older Adults ◽  
Health Information ◽  
Information Literacy ◽  
Intervention Mapping ◽  
Perceived Usefulness ◽  
The Internet ◽  
Single Group ◽  
Behavioral Skills ◽  
Ehealth Literacy ◽  
Significant Difference

BACKGROUND The Internet use rate of older adults, who were considered underprivileged in the digital world, is steadily increasing. Specifically, the Internet is considered an important channel for providing health information to older adults, who are the largest consumers of medical services. However, due to factors such as technical difficulties, lack of learning opportunities, and deterioration of eHealth literacy, the Internet is not usually a common factor of delivering health information to older adults. Therefore, we developed an intervention program to improve eHealth literacy in older adults according to the information-motivation-behavioral skills (IMB) theory and Intervention Mapping. OBJECTIVE This study aimed to analyze the effect of developed intervention on information, motivation, behavioral skills, and behaviors related to eHealth information in older adults. METHODS This study applied a single group pretest–posttest design. The participants were 46 older adults over the age of 65 recruited from two senior welfare centers in a city in South Korea. We divided the participants into 4 groups and conducted 4 interventions in the computer room of the Senior Welfare Center from March to December 2019. One intervention was performed once a week (2 hours/1 time) for 5 weeks, and the total lecture time was 10 hours. The instructors were all researchers involved in the development of this intervention, and the instructors for each intervention consisted of one lecture instructor and two assistant instructors who supported the participants in the computer practices. RESULTS Participants’computer/web knowledge (χ²= 60.04, P <.001), perceived ease of use (χ²= 17.86, P <.001), perceived enjoyment (χ²= 23.06, P <.001), and attitude toward eHealth information (χ²= 18.47, P <.001) showed statistically significant increases. The eHealth information literacy efficacy score (χ²= 72.76, P< .001), searching performance score (χ²= 162.57, P < .001), and understanding score (χ²= 60.96, P< .001) were also significantly different from those before and after the intervention. However, there was no significant difference in perceived usefulness (χ²= 5.91, P = .052). CONCLUSIONS Our findings suggest that the application of the current theory based methodology can improve the quality of research in developing eHealth information literacy interventions. Additionally, it is necessary to develop and continuously apply various interventions to improve eHealth information literacy among older adults. Finally, measures to improve the Internet environment for older adults should be considered.

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