Intelligent support technologies for older people : an analysis of characteristics and roles

For almost two decades there have been many developments in using intelligent technologies to support older people, with many different terms proposed to describe these technologies including assistive robots, embodied conversational agents and relational agents. Many technologies have been proposed in many different configurations and many assistance roles have been explored. Characteristics of these technologies include tangible or virtual; anthropomorphic, biomorphic, creature or object-like; level of visual realism; paralinguistic abilities; interactivity; adaptability; movement; and positioning. The assistive roles proposed include providing information, advice and reminders, helping with physical tasks, monitoring, providing companionship and emotional support. This paper provides an overview of the characteristics and roles of these technologies and attempts to clarify some of the terminology used. It aims to provide a guide for researchers from the wide range of disciplines working on such technologies for supporting older people

Analysis of Research in Adoption of Assistive Technologies for Aged Care

The main objective of this study is to provide detailed analysis on the research conducted in the area of adoption for assistive technologies in aged care. The article analyses the studies and concludes with avenues, guidelines and gaps for research in this area. This study has conducted a systematic search on eight popular academic databases and identified relevant papers published. The paper identifies potential technologies that have been utilised to address seniors’ daily life difficulties in three areas: independent living, social isolation, dementia and medication taking. The article presents the theoretical lenses used for studying the adoption of these technologies in aged care. In addition to that, the systematic review has come up with interesting demographics on research approaches, and fields of publication for the research in this area. The paper outlines that the Australian research in adoption of assistive technologies for aged care has been over focused on healthcare domain and has largely ignored information system outlets. The possible reasons and potential directions for this issue have been discussed

Technical Metrics Used to Evaluate Health Care Chatbots: Scoping Review

Dialog agents (chatbots) have a long history of application in health care, where they have been used for tasks such as supporting patient self-management and providing counseling. Their use is expected to grow with increasing demands on health systems and improving artificial intelligence (AI) capability. Approaches to the evaluation of health care chatbots, however, appear to be diverse and haphazard, resulting in a potential barrier to the advancement of the field. This study aims to identify the technical (nonclinical) metrics used by previous studies to evaluate health care chatbots. Studies were identified by searching 7 bibliographic databases (eg, MEDLINE and PsycINFO) in addition to conducting backward and forward reference list checking of the included studies and relevant reviews. The studies were independently selected by two reviewers who then extracted data from the included studies. Extracted data were synthesized narratively by grouping the identified metrics into categories based on the aspect of chatbots that the metrics evaluated. Of the 1498 citations retrieved, 65 studies were included in this review. Chatbots were evaluated using 27 technical metrics, which were related to chatbots as a whole (eg, usability, classifier performance, speed), response generation (eg, comprehensibility, realism, repetitiveness), response understanding (eg, chatbot understanding as assessed by users, word error rate, concept error rate), and esthetics (eg, appearance of the virtual agent, background color, and content). The technical metrics of health chatbot studies were diverse, with survey designs and global usability metrics dominating. The lack of standardization and paucity of objective measures make it difficult to compare the performance of health chatbots and could inhibit advancement of the field. We suggest that researchers more frequently include metrics computed from conversation logs. In addition, we recommend the development of a framework of technical metrics with recommendations for specific circumstances for their inclusion in chatbot studies

Co-designing an Embodied e-Coach With Older Adults: The Tangible Coach Journey

This article describes a tangible interface for an e-coach, co-designed in four countries to meet older adults' needs and expectations. The aim of this device is to coach the user by giving recommendations, personalized tasks and to build empathy through vocal, visual, and physical interaction. Through our co-design process, we collected insights that helped identifying requirements for the physical design, the interaction design and the privacy and data control. In the first phase, we collected users' needs and expectations through several workshops. Requirements were then transformed into three design concepts that were rated and commented by our target users. The final design was implemented and tested in three countries. We discussed the results and the open challenges for the design of physical e-coaches for older adults. To encourage further developments in this field, we released the research outputs of this design process in an open-source repository

relating conversational expressiveness to social presence and accpetance of an assistive social robot

Exploring the relationship between social presence, conversational expressiveness, and robot acceptance, we set up an experiment with a robot in an eldercare institution, comparing a more and less social condition. Participants showed more expressiveness with a more social agent and a higher score on expressiveness correlated with higher scores on social presence. Furthermore, scores on social presence correlated with the scores on the intention to use the system in the near future. However, we found no correlation between conversational expressiveness and robot acceptance

Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model

This paper proposes a model of technology acceptance that is specifically developed to test the acceptance of assistive social agents by elderly users. The research in this paper develops and tests an adaptation and theoretical extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) by explaining intent to use not only in terms of variables related to functional evaluation like perceived usefulness and perceived ease of use, but also variables that relate to social interaction. The new model was tested using controlled experiment and longitudinal data collected regarding three different social agents at elderly care facilities and at the homes of older adults. The model was strongly supported accounting for 59-79% of the variance in usage intentions and 49-59% of the variance in actual use. These findings contribute to our understanding of how elderly users accept assistive social agents

Supporting active and healthy aging with advanced robotics integrated in smart environment

The technological advances in the robotic and ICT fields represent an effective solution to address specific societal problems to support ageing and independent life. One of the key factors for these technologies is the integration of service robotics for optimising social services and improving quality of life of the elderly population. This chapter aims to underline the barriers of the state of the art, furthermore the authors present their concrete experiences to overcome these barriers gained at the RoboTown Living Lab of Scuola Superiore Sant'Anna within past and current projects. They analyse and discuss the results in order to give recommendations based on their experiences. Furthermore, this work highlights the trend of development from stand-alone solutions to cloud computing architecture, describing the future research directions