Domestic Robots for Older Adults: Attitudes, Preferences, and Potential

Smarr, Cory Ann; Mitzner, Tracy L.; Beer, Jenay M.; Prakash, Akanksha; Chen, Tiffany L.; Kemp, Charles C.; Rogers, Wendy A.

doi:10.1007/s12369-013-0220-0

Cited by 207 publications

(185 citation statements)

References 29 publications

Supporting

Mentioning

176

Contrasting

Order By: Relevance

“…Service robots are built for specific task and their functionality is defined with a set of skills necessary to perform them. Some studies show that specific types of users such as older adults prefer robot assistance over human assistance for tasks related to manipulating objects [6]. In this work, we tackle the problem on the level of trajectory adaptation and the proposed robot displacement tasks were used to evaluate the user experience.…”

Section: Relevant Workmentioning

confidence: 99%

User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

et al. 2016

View full text Add to dashboard Cite

Abstract. Social robots are expected to adapt to their users and, like their human counterparts, learn from the interaction. In our previous work, we proposed an interactive learning framework that enables a user to intervene and modify a segment of the robot arm trajectory. The framework uses gesture teleoperation and reinforcement learning to learn new motions. In the current work, we compared the user experience with the proposed framework implemented on the single-arm and dual-arm Barrett's 7-DOF WAM robots equipped with a Microsoft Kinect camera for user tracking and gesture recognition. User performance and workload were measured in a series of trials with two groups of 6 participants using two robot settings in different order for counterbalancing. The experimental results showed that, for the same task, users required less time and produced shorter robot trajectories with the single-arm robot than with the dual-arm robot. The results also showed that the users who performed the task with the single-arm robot first experienced considerably less workload in performing the task with the dual-arm robot while achieving a higher task success rate in a shorter time.

show abstract

Section: Relevant Workmentioning

confidence: 99%

User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

et al. 2016

View full text Add to dashboard Cite

show abstract

“…However, as an emerging technology, there is still a lack of robust quantitative evaluations of their performance [9]. In addition, relatively little is known about older adults' opinions on using exoskeletons, or assistive robots in general, for daily tasks in the home [10,11]. Issues with adoption and acceptance may be expected, since some older adults are slower to adopt and use new technologies compared to younger people [12].…”

Section: Introductionmentioning

confidence: 99%

“…Assistive robots [14] have been introduced as aids in manipulation, mobility and cognition contexts. Exoskeletons can offer support for older adults to remain independent as they engage in activities of daily living (ADLs) [10,[15][16][17]. At a physical level, assistive robot interventions can maintain body movement and provide motivation for older adults to remain active.…”

Section: Introductionmentioning

confidence: 99%

Technology Acceptance and User-Centred Design of Assistive Exoskeletons for Older Adults: A Commentary

et al. 2018

View full text Add to dashboard Cite

Assistive robots are emerging as technologies that enable older adults to perform activities of daily living with autonomy. Exoskeletons are a subset of assistive robots that can support mobility. Perceptions and acceptance of these technologies require understanding in a user-centred design context to ensure optimum experience and adoption by as broad a spectrum of older adults as possible. The adoption and use of assistive robots for activities of daily living (ADL) by older adults is poorly understood. Older adult acceptance of technology is affected by numerous factors, such as perceptions and stigma associated with dependency and ageing. Assistive technology (AT) models provide theoretical frameworks that inform decision-making in relation to assistive devices for people with disabilities. However, technology acceptance models (TAMs) are theoretical explanations of factors that influence why users adopt some technologies and not others. Recent models have emerged specifically describing technology acceptance by older adults. In the context of exoskeleton design, these models could influence design approaches. This article will discuss a selection of TAMs, displaying a chronology that highlights their evolution, and two prioritised TAMs-Almere and the senior technology acceptance model (STAM)-that merit consideration when attempting to understand acceptance and use of assistive robots by older adults.

show abstract

“…These service robots are intended to be operated by non-expert users in human-populated environments. Thus, human-friendly interactive features are preferred for domestic service robots [6].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Interpretation of Ambiguous Voice Instructions based on the Environment and the User’s Intention for Improved Human-Friendly Robot Navigation

2017

View full text Add to dashboard Cite

Human-friendly interactive features are preferred for domestic service robots. Humans prefer to use verbal communication in order to convey instructions to peers. Those voice instructions often include uncertain terms such as "little" and "far". Therefore, the ability to quantify such information is mandatory for human-friendly service robots. The meaning of such voice instructions depends on the environment and the intention of the user. Therefore, this paper proposes a method in order to interpret the ambiguities in user instructions based on the environment and the intention of the user. The actual intention of the user is identified by analyzing the pointing gestures accompanied with the voice instructions since pointing gestures can be used in order to express the intention of the user. A module called the motion intention switcher (MIS) has been introduced in order to switch the intention of the robot based on the arrangement of the environment and the point referred by the gesture. Experiments have been carried out in an artificially-created domestic environment. According to the experimental results, the behavior of the MIS is effective in identifying the actual intention of the user and switching the intention of the robot. Moreover, the proposed concept is capable of enhancing the uncertain information evaluation ability of robots.

show abstract

Domestic Robots for Older Adults: Attitudes, Preferences, and Potential

Cited by 207 publications

References 29 publications

User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

Technology Acceptance and User-Centred Design of Assistive Exoskeletons for Older Adults: A Commentary

Enhancing Interpretation of Ambiguous Voice Instructions based on the Environment and the User’s Intention for Improved Human-Friendly Robot Navigation

Contact Info

Product

Resources

About