Family health history (FHx) is one of the simplest and most cost-effective and efficient ways to collect health information that could help diagnose and treat genetic diseases at an early stage. This study evaluated the efficacy of collecting such family health histories through a virtual conversational agent (VCA) interface, a new method for collecting this information. Standard and VCA interfaces for FHx collection were investigated with 50 participants, recruited via email and word of mouth, using a within-subject experimental design with the order of the interfaces randomized and counterbalanced. Interface workload, usability, preference, and satisfaction were assessed using the NASA Task Load Index workload instrument, the IBM Computer System Usability Questionnaire, and a brief questionnaire derived from the Technology Acceptance Model. The researchers also recorded the number of errors and the total task completion time. It was found that the completion times for 2 of the 5 tasks were shorter for the VCA interface than for the standard one, but the overall completion time was longer (17 min 44 s vs. 16 min 51 s, p = .019). We also found the overall workload to be significantly lower (34.32 vs. 42.64, p = .003) for the VCA interface, and usability metrics including overall satisfaction (5.62 vs. 4.72, p < .001), system usefulness (5.76 vs. 4.84, p = .001), information quality (5.43 vs. 4.62, p < .001), and interface quality (5.66 vs. 4.64, p < .001) to be significantly higher for this interface as well. Approximately 3 out of 4 participants preferred the VCA interface to the standard one. Although the overall time taken was slightly longer than with standard interface, the VCA interface was rated significantly better across all other measures and was preferred by the participants. These findings demonstrate the advantages of an innovative VCA interface for collecting FHx, validating the efficacy of using VCAs to collect complex patient-specific data in health care.

Information on healthcare providers on the internet can be found in both public reports and/or anecdotal comments. Healthcare consumers rely more on the anecdotal comments than public reports as they are easier to understand, more engaging and convincing. However, the anecdotal comments can be misleading as they are based on a relatively smaller and less representative sample. Hence, it’s important to understand how users make sense of the anecdotal information and define the factors that influence their decisions. This study utilized the domain of dentistry, focusing on how the nature of the review and other decision aids affect the sensemaking process of healthcare seekers. We conducted a mixed-method study with twenty participants, finding the nature of the review (the text) to be the most influential factor and the wait time to be the least contributing factor in the decision.

Critical for the early diagnosis of genetic disorders, a Family Health History (FHx) can be collected in several ways including electronic FHx tools, which aid easy editing and sharing by linking with other information management portals. The user acceptance of such systems is critical, especially among older adults experiencing motor and cognitive issues. This study investigated two types of FHx interfaces, standard and Virtual Conversational Agent (VCA), using 30 young (between 18 and 30) and 24 older participants (over 60). Workload, usability and performance data were collected. Even though participants required less time to complete three of five tasks on the standard interface, the VCA interface performed better in terms of subjective workload and usability. Additionally, 67% of the older adults preferred the VCA interface since it provided context-based guidance during the data collection process. The results from this study have implications for the use of virtual assistants in FHx and other areas of data collection.

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Knowing and compiling your family health information is an important, cost-effective and efficient way to help your doctor screen and monitor for risks of genomic diseases such as cancer. There are several ways to collect family health history, including the use of digital records. Digital records can be helpful for sharing and updating information among family members. However, minimal research has been conducted to compare the different data collection interfaces. This study focuses on evaluating the user’s performance and preference between a conversational interface that we developed and a traditional interface for compiling family health history. Using a within-subjects design, twenty participants were asked to perform several tasks using both platforms. Although the conversational interface required more clicks, participants reported lower workload, higher performance and greater ease-of-use with this platform, and preferred the guidance of the virtual assistant.