Motivational traits: An objective behavioral test using a computer game.

An objective behavioral test for motivational traits has been developed taking as a reference the structure of the Motivational Trait Questionnaire, which is a validated self-report questionnaire to measure motivational traits in the population. The objective test consists of a computer game, which makes it possible to evaluate a person's motivational traits and to display them on the same scale as the Motivational Trait Questionnaire. To evaluate the validity of the results obtained in the measurement of motivational traits using the objective behavioral test, a study was carried out with 31 participants whose motivational traits were evaluated using the two methods, and the results obtained were compared to find out whether the two forms of assessment can be considered equivalent. Statistical tests support the high degree of similarity of the results, concluding that the objective behavioral test can be a useful instrument to assess motivational traits as an alternative to the self-report questionnaire. Despite the increasing popularity of game-based assessment of personality traits, this is the first time a game has been designed for the assessment of motivational traits. Being able to obtain a model of the user's motivational traits without having to rely on a questionnaire opens the possibility to build software applications that adapt to the user's motivational profile, providing them with the kind of motivational support that best fits their needs.

Design of an Integrated Acceptance Framework for Older Users and eHealth: Influential Factor Analysis.

BACKGROUND: eHealth and telehealth play a crucial role in assisting older adults who visit hospitals frequently or who live in nursing homes and can benefit from staying at home while being cared for. Adapting to new technologies can be difficult for older people. Thus, to better apply these technologies to older adults' lives, many studies have analyzed the acceptance factors for this particular population. However, there is not yet a consensual framework that can be used in further development and to search for solutions. OBJECTIVE: This paper aims to present an integrated acceptance framework (IAF) for older users' acceptance of eHealth based on 43 studies selected through a systematic review. METHODS: We conducted a 4-step study. First, through a systematic review in the field of eHealth from 2010 to 2020, the acceptance factors and basic data for analysis were extracted. Second, we conducted a thematic analysis to group the factors into themes to propose an integrated framework for acceptance. Third, we defined a metric to evaluate the impact of the factors addressed in the studies. Finally, the differences among the important IAF factors were analyzed according to the participants' health conditions, verification time, and year. RESULTS: Through a systematic review, 731 studies were found in 5 major databases, resulting in 43 (5.9%) selected studies using the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) methodology. First, the research methods and acceptance factors for eHealth were compared and analyzed, extracting a total of 105 acceptance factors, which were grouped later, resulting in an IAF. A total of 5 dimensions (ie, personal, user-technology relational, technological, service-related, and environmental) emerged, with a total of 23 factors. In addition, we assessed the quality of evidence and then conducted a stratification analysis to reveal the more appropriate factors depending on the health condition and assessment time. Finally, we assessed the factors and dimensions that have recently become more important. CONCLUSIONS: The result of this investigation is a framework for conducting research on eHealth acceptance. To elaborately analyze the impact of the factors of the proposed framework, the criteria for evaluating the evidence from the studies that have the extracted factors are presented. Through this process, the impact of each factor in the IAF has been presented, in addition to the framework proposal. Moreover, a meta-analysis of the current status of research is presented, highlighting the areas where specific measures are needed to facilitate eHealth acceptance.

Older Adult Segmentation According to Residentially-Based Lifestyles and Analysis of Their Needs for Smart Home Functions.

Globally, the percentage of older people in the general population is growing. Smart homes have the potential to help older adults to live independently and healthy, improving their quality of life, and relieving the pressure on the healthcare and social care systems. For that, we need to understand how older adults live and their needs. Thus, this study aims to analyze the residentially-based lifestyles (RBL) of older adults and segment them to compare and analyze the real needs of smart home functions for each group. To identify a person's RBL, a questionnaire was designed to include questions about activities at home, social events, quality of life, etc. This study surveyed 271 older Koreans. As a result of the survey on RBL, five groups with different characteristics were clustered. Finally, each groups' features and the differences in their needs for smart home functions were compared and analyzed. The priority of needed functions for each group was found to be significantly different. In a total of 26 smart home functions, there were meaningful differences in the needs for 16 functions among the groups. This study presents the results in South Korea, according to older adults' RBL and their smart home needs.