University of Twente Student Theses
Home alone : The role of Personality and Beliefs in acceptance of remote health monitoring utilizing artificial intelligence in elderly care.
Stahl, Samuel (2023) Home alone : The role of Personality and Beliefs in acceptance of remote health monitoring utilizing artificial intelligence in elderly care.
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| Abstract: | Background: The rising global aging population necessitates effective healthcare solutions. Aging in place, enabled by remote health monitoring (RHM) technologies like AI-based Radio Frequency (RF) sensing, presents a promising strategy due to their effectiveness and unobtrusiveness. Despite potential advantages, like reducing health care costs, user acceptance for these technologies remains limited. Aim: This study explores how personality traits and beliefs influence the acceptance of AI-based RHM in elderly care among Germans in order to gain knowledge about problems and solutions to improve acceptance rates. Methods: Using an online questionnaire, this quantitative study collected data from German residents aged 45 and above. Participants were invited by convenience sampling method utilizing the snowball sampling. Participants' personality traits were measured with the Ten Item Personality Scale (TIPI). Beliefs and acceptance of AI-RHM was evaluated based on the acceptance model of Jaschinski et al (2021). In the analysis descriptive statistics and spearman’s rank correlations were calculated. Results: The sample consisted of 57 Participants with a mean age 56.26 (SD = 6.09) and more female (63.2%) than male (36.8%). Participants have shown to neither reject nor accept AI-RHM with an acceptance score of 2.95 (SD = 0.88). All beliefs of the acceptance model of Jaschinski et al. (2021) showed a significant effect, while two beliefs “Loss of human touch” (r = -0.22, p = n.s.) and “Loss of privacy” (r = -0.21, p = n.s.) showed a negative non-significant effect on acceptance. A significant positive correlation was found between acceptance and openness (r = 0.34, p < .01). Conclusion: The study highlighted that Attitude, as one of the most influential factors, significantly influenced acceptance levels. Additionally, the study revealed that openness was positively associated with acceptance, suggesting that individuals who are more open to experiences are more likely to accept AI-RHM. These findings have implications for interventions aiming to enhance acceptance and adoption rates and underscore the importance of comprehensive acceptance models that consider regional differences. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Programme: | Psychology BSc (56604) |
| Link to this item: | https://purl.utwente.nl/essays/95682 |
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