Conversational Agent Technology Research Articles

Voice Interface Technology Adoption by Patients With Heart Failure: Pilot Comparison Study.

BackgroundHeart failure (HF) is associated with high mortality rates and high costs, and self-care is crucial in the management of the condition. Telehealth can promote patients’ self-care while providing frequent feedback to their health care providers about the patient’s compliance and symptoms. A number of technologies have been considered in the literature to facilitate telehealth in patients with HF. An important factor in the adoption of these technologies is their ease of use. Conversational agent technologies using a voice interface can be a good option because they use speech recognition to communicate with patients.ObjectiveThe aim of this paper is to study the engagement of patients with HF with voice interface technology. In particular, we investigate which patient characteristics are linked to increased technology use.MethodsWe used data from two separate HF patient groups that used different telehealth technologies over a 90-day period. Each group used a different type of voice interface; however, the scripts followed by the two technologies were identical. One technology was based on Amazon’s Alexa (Alexa+), and in the other technology, patients used a tablet to interact with a visually animated and voice-enabled avatar (Avatar). Patient engagement was measured as the number of days on which the patients used the technology during the study period. We used multiple linear regression to model engagement with the technology based on patients’ demographic and clinical characteristics and past technology use.ResultsIn both populations, the patients were predominantly male and Black, had an average age of 55 years, and had HF for an average of 7 years. The only patient characteristic that was statistically different (P=.008) between the two populations was the number of medications they took to manage HF, with a mean of 8.7 (SD 4.0) for Alexa+ and 5.8 (SD 3.4) for Avatar patients. The regression model on the combined population shows that older patients used the technology more frequently (an additional 1.19 days of use for each additional year of age; P=.004). The number of medications to manage HF was negatively associated with use (−5.49; P=.005), and Black patients used the technology less frequently than other patients with similar characteristics (−15.96; P=.08).ConclusionsOlder patients’ higher engagement with telehealth is consistent with findings from previous studies, confirming the acceptability of technology in this subset of patients with HF. However, we also found that a higher number of HF medications, which may be correlated with a higher disease burden, is negatively associated with telehealth use. Finally, the lower engagement of Black patients highlights the need for further study to identify the reasons behind this lower engagement, including the possible role of social determinants of health, and potentially create technologies that are better tailored for this population.

Using Health Information Technology to Engage African American Women on Nutrition and Supplement Use During the Preconception Period

ImportanceHealthy nutrition and appropriate supplementation during preconception have important implications for the health of the mother and newborn. The best way to deliver preconception care to address health risks related to nutrition is unknown.MethodsWe conducted a secondary analysis of data from a randomized controlled trial designed to study the impact of conversational agent technology in 13 domains of preconception care among 528 non-pregnant African American and Black women. This analysis is restricted to those 480 women who reported at least one of the ten risks related to nutrition and dietary supplement use.InterventionsAn online conversational agent, called “Gabby”, assesses health risks and delivers 12 months of tailored dialogue for over 100 preconception health risks, including ten nutrition and supplement risks, using behavioral change techniques like shared decision making and motivational interviewing. The control group received a letter listing their preconception risks and encouraging them to talk to a health care provider.ResultsAfter 6 months, women using Gabby (a) reported progressing forward on the stage of change scale for, on average, 52.9% (SD, 35.1%) of nutrition and supplement risks compared to 42.9% (SD, 35.4) in the control group (IRR 1.22, 95% CI 1.03–1.45, P = 0.019); and (b) reported achieving the action and maintenance stage of change for, on average, 52.8% (SD 37.1) of the nutrition and supplement risks compared to 42.8% (SD, 37.9) in the control group (IRR 1.26, 96% CI 1.08–1.48, P = 0.004). For subjects beginning the study at the contemplation stage of change, intervention subjects reported progressing forward on the stage of change scale for 75.0% (SD, 36.3%) of their health risks compared to 52.1% (SD, 47.1%) in the control group (P = 0.006).ConclusionThe scalability of Gabby has the potential to improve women’s nutritional health as an adjunct to clinical care or at the population health level. Further studies are needed to determine if improving nutrition and supplement risks can impact clinical outcomes including optimization of weight.Clinical Trial RegistrationClinicalTrials.gov, identifier NCT01827215.

Personalized Activated Technology with Heart Failure Disease Specific Functionality

Background: Optimization of health care delivery in different settings with the goal of improving quality of life and reduction of heart failure (HF) morbidity continues to be an unmet need. Digital engagement between patients and providers is becoming more prevalent for care coordination and management of heart failure.Aims: To design and test a customized and interactive heart failure disease specific functionality with activated technology (Amazon's Echo Dot or an Avatar) as a tool for management of HF patients at home. To identify the effect of a voice activated technology in the reduction of heart failure hospitalizations, improvement of medication adherence, improvement in health-related quality of life and increase in comfort with voice activated technologies. Methods We compared two types of conversational agent technologies to standard of care, using speech recognition, to evaluate patient engagement in HF patients. The first technologyutilized the Amazon Echo Dot Alexa technology and only communicated with the patient through audio and the second was an application on a tablet using an Avatar, combining audio and visual. The conversational agent asks the HF patients a series of 11 questions, divided into three components: compliance (questions 1-3), mild HF symptoms (questions 4-6) and moderate/severe HF symptoms (questions 7-11). Participants completed questions regarding their use and comfort with technology. Inclusion criteria: admitted or treated for HF;18 or older; and resides with access to wifi. Exclusion criteria: heart transplant or ventricular assist device recipients. Participants were monitored for three months.Results: Thirty patients were enrolled in each intervention arm of the two studies with the Alexa or Avatar. Mean age was 54 years in the Alexa group and 56 years in the Avatar group. There were predominately males 61% and 63%, Alexa and Avatar, respectively. In the Alexa and Avatar groups race was predominately black, 64% and 63% followed by white 21% and 30%. The Alexa group was statistically more likely to complete the three compliance factors of weight checking (p=.030), salt monitoring (p=0.016) and medication adherence (p=0.005). Initial results suggest that older people and individuals using the smart phone answer the questionnaire at higher rates, and individuals taking an increased number of medications to treat HF had lower participation.Conclusion: Voice enabled, internet connected devices are poised to have profound impacts on the quality of life for in-home, independent, and assisted-living patients by vastly increasing the connectivity to healthcare providers.

Reducing Preconception Risks Among African American Women with Conversational Agent Technology.

Systems and tools are needed to identify and mitigate preconception health (PCH) risks, particularly for African American (AA) women, given persistent health disparities. We developed and tested "Gabby," an online preconception conversational agent system. One hundred nongravid AA women 18-34 years of age were screened for over 100 PCH risks and randomized to the Gabby or control group. The Gabby group interacted with the system for up to six months; the control group received a letter indicating their health risks with a recommendation to talk with their clinician. The numbers, proportions, and types of risks were compared between groups. There were 23.7 (SD 5.9) risks identified per participant. Eighty-five percent (77 of 91) provided 6 month follow up data. The Gabby group had greater reductions in the number (8.3 vs. 5.5 risks, P < .05) and the proportion (27.8% vs 20.5%, P < 0.01) of risks compared to controls. The Gabby group averaged 63.7 minutes of interaction time. Seventy-eight percent reported that it "was easy to talk to Gabby" and 64% used information from Gabby to improve their health. Gabby was significantly associated with preconception risk reduction. More research is needed to determine if Gabby can benefit higher risk populations and if risk reduction is clinically significant.

Triggering effective social support for online groups

Conversational agent technology is an emerging paradigm for creating a social environment in online groups that is conducive to effective teamwork. Prior work has demonstrated advantages in terms of learning gains and satisfaction scores when groups learning together online have been supported by conversational agents that employ Balesian social strategies. This prior work raises two important questions that are addressed in this article. The first question is one of generality. Specifically, are the positive effects of the designed support specific to learning contexts? Or are they in evidence in other collaborative task domains as well? We present a study conducted within a collaborative decision-making task where we see that the positive effects of the Balesian social strategies extend to this new context. The second question is whether it is possible to increase the effectiveness of the Balesian social strategies by increasing the context sensitivity with which the social strategies are triggered. To this end, we present technical work that increases the sensitivity of the triggering. Next, we present a user study that demonstrates an improvement in performance of the support agent with the new, more sensitive triggering policy over the baseline approach from prior work. The technical contribution of this article is that we extend prior work where such support agents were modeled using a composition of conversational behaviors integrated within an event-driven framework. Within the present approach, conversation is orchestrated through context-sensitive triggering of the composed behaviors. The core effort involved in applying this approach involves building a set of triggering policies that achieve this orchestration in a time-sensitive and coherent manner. In line with recent developments in data-driven approaches for building dialog systems, we present a novel technique for learning behavior-specific triggering policies, deploying it as part of our efforts to improve a socially capable conversational tutor agent that supports collaborative learning.

The feasibility of using conversational agent technology to improve problem-solving and coping skills of young adults with cancer

The feasibility of using conversational agent technology to improve problem-solving and coping skills of young adults with cancer Marlene M von Friederichs-Fitzwater1, Frederick J Meyers21Division of Hematology/Oncology, Internal Medicine, 2School of Medicine, University of California Davis, Sacramento, CA, USAObjective: Young adults with cancer have unique psychosocial needs and often lack the problem-solving and coping skills for effective resolution. We conducted a study to clarify these needs and then developed and tested an educational intervention to coach young adults with cancer in problem-solving and coping skills using a new conversational agent technology that uses a multi-media format to simulate face-to-face encounters.Methods: We qualitatively assessed online focus groups and chat rooms with 45 young adults with cancer and used the results to develop and test an online 15-minute educational prototype using a new conversational agent technology with 49 young adults (18&ndash;35 years of age) with cancer.Results: Young adults with cancer are most concerned about reproductive issues, emotional issues, communicating with healthcare providers, and the risks and benefits of treatments. The study participants found the I-COPE prototype to be useful, easy to use, and worth recommending to others. They wanted to have more video segments about the experiences of other young adults with cancer; more video segments of actual procedures and treatments; more Internet links to information and resources; and more opportunities to interact with the conversational agent.Conclusion: New conversational agent technology is useful in coaching problem-solving and coping skills to empower young adults with cancer.Practice implications: New conversational agent technology is a useful tool in patient education and skill development, particularly among young adults.Keywords: young adult cancer patients, conversational agent technology, problem-solving, coping, self-efficacy, survivorship