An analysis of design recommendations for socially assistive robot helpers for effective human-robot interactions in senior care

Robinson, Fraser; Nejat, Goldie

doi:10.1177/20556683221101389

Cited by 13 publications

(3 citation statements)

References 94 publications

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“…Their acceptance is influenced by functional variables related to social interaction ( Heerink et al, 2010 ), as well as age-related perceptions of their self-image and user-image ( Dudek et al, 2021 ), and individual values and aspirations ( Coghlan et al, 2021 ). Robinson and Nejat (2022) provide a recent overview of the robot types and features used in socially assistive robots for senior care.…”

Section: Introductionmentioning

confidence: 99%

Recommendations for designing conversational companion robots with older adults through foundation models

Irfan,

Kuoppamäki,

Skantze

2024

Front. Robot. AI

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Companion robots are aimed to mitigate loneliness and social isolation among older adults by providing social and emotional support in their everyday lives. However, older adults’ expectations of conversational companionship might substantially differ from what current technologies can achieve, as well as from other age groups like young adults. Thus, it is crucial to involve older adults in the development of conversational companion robots to ensure that these devices align with their unique expectations and experiences. The recent advancement in foundation models, such as large language models, has taken a significant stride toward fulfilling those expectations, in contrast to the prior literature that relied on humans controlling robots (i.e., Wizard of Oz) or limited rule-based architectures that are not feasible to apply in the daily lives of older adults. Consequently, we conducted a participatory design (co-design) study with 28 older adults, demonstrating a companion robot using a large language model (LLM), and design scenarios that represent situations from everyday life. The thematic analysis of the discussions around these scenarios shows that older adults expect a conversational companion robot to engage in conversation actively in isolation and passively in social settings, remember previous conversations and personalize, protect privacy and provide control over learned data, give information and daily reminders, foster social skills and connections, and express empathy and emotions. Based on these findings, this article provides actionable recommendations for designing conversational companion robots for older adults with foundation models, such as LLMs and vision-language models, which can also be applied to conversational robots in other domains.

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Section: Introductionmentioning

confidence: 99%

Recommendations for designing conversational companion robots with older adults through foundation models

Irfan,

Kuoppamäki,

Skantze

2024

Front. Robot. AI

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“…Conversation is one of the primary methods of Human-Robot Interaction (HRI), with research at HRI covering many aspects of this interaction technique from how it differs or imitates humanhuman communication [2,8], through how to leverage everyday communication to improve interactions with a diverse set of users and settings [4,10,11], to how people interact with conversational robots in their everyday lives [5,12].…”

Section: Introductionmentioning

confidence: 99%

Human-Robot Conversational Interaction (HRCI)

Jaber

Cowan

Fischer

et al. 2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

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Conversation is one of the primary methods of interaction between humans and robots. It provides a natural way of communication with the robot, thereby reducing the obstacles that can be faced through other interfaces (e.g., text or touch) that may cause difficulties to certain populations, such as the elderly or those with disabilities, promoting inclusivity in Human-Robot Interaction (HRI). Work in HRI has contributed significantly to the design, understanding and evaluation of human-robot conversational interactions. Concurrently, the Conversational User Interfaces (CUI) community has developed with similar aims, though with a wider focus on conversational interactions across a range of devices and platforms. This workshop aims to bring together the CUI and HRI communities to outline key shared opportunities and challenges in developing conversational interactions with robots, resulting in collaborative publications targeted at the CUI 2023 provocations track.

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“…SARs can support, motivate, and provide emotional support without physical contact, to encourage learning, development, or therapy [20]. Previous findings showed the promising results of SARs in education and elderly care [23].…”

Section: Introductionmentioning

confidence: 99%

This Was (Not) Intended: How Intent Communication and Biometrics Can Enhance Social Interactions With Robots

Khaled¹,

Saad²

2023

Preprint

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Socially Assistive Robots (SARs) are robots that are designed to replicate the role of a caregiver, coach, or teacher, providing emotional, cognitive, and social cues to support a specific group. SARs are becoming increasingly prevalent, especially in elderly care. Effective communication, both explicit and implicit, is a critical aspect of human-robot interaction involving SARs. Intent communication is necessary for SARs to engage in effective communication with humans. Biometrics can provide crucial information about a person's identity or emotions. By linking these biometric signals to the communication of intent, SARs can gain a profound understanding of their users and tailor their interactions accordingly. The development of reliable and robust biometric sensing and analysis systems is critical to the success of SARs. In this work, we focus on four different aspects to evaluate the communication of intent involving SARs, existing works, and our outlook on future works and applications.

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An analysis of design recommendations for socially assistive robot helpers for effective human-robot interactions in senior care

Cited by 13 publications

References 94 publications

Recommendations for designing conversational companion robots with older adults through foundation models

Recommendations for designing conversational companion robots with older adults through foundation models

Human-Robot Conversational Interaction (HRCI)

This Was (Not) Intended: How Intent Communication and Biometrics Can Enhance Social Interactions With Robots

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