Factors for Personalization and Localization to Optimize Human–Robot Interaction: A Literature Review

Gasteiger, Norina; Hellou, Mehdi; Ahn, Ho Seok

doi:10.1007/s12369-021-00811-8

Cited by 54 publications

(20 citation statements)

References 51 publications

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“…accurately follow precomputed paths. It also needs to respect conventional rules or social rules [26] that respect people's privacy around the robot, usually referred to as social distance [18,27] or proxemics [13]. The next section presents some methods highlighting how social navigation might be applied to museum robots.…”

Section: Methodsmentioning

confidence: 99%

“…For effective museum robots, some reviewed papers record information from interactions with visitors [24,27,48] and personalize the robot's behavior to user preferences, needs and personalities [3,13]. This strategy permits the robot to establish a relationship with visitors, especially regular ones.…”

Section: Personalized Behaviorsmentioning

confidence: 99%

“…This becomes increasingly important when robots and humans work collaboratively, or when social interactions between robots and humans are required. More work has also focused on developing personalized robots for users that can adapt their behaviors to user's personalities, needs and preferences or to different cultures [12,13]. For example, a robot serving drinks to users according to their preferences and the time of the day [14].…”

Section: Introductionmentioning

confidence: 99%

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Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

Hellou

Lim

Gasteiger

et al. 2022

Int J of Soc Robotics

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Robots have become increasingly present in our daily lives, and we see several settings wherein this technology might positively impact people. One of these settings, and the focus of this paper, is the museum. This paper provides an overview of the literature on how robots can help people within the museum context and explores the state-of-the-art methods or technologies employed by researchers to allow robots to interact within this environment. Five key features were found to be essential to integrate into social museum robots: social navigation (including safe and successful motions); perception (how robots can use visual skills to understand the environment); speech (verbal communication with visitors); gestures (non-verbal cues) and behavior generation (how the robot combines the four skills to adopt different behaviors). The paper subsequently analyzes the integration of these features into robotic systems for a complete and appropriate collection of behaviors in the museum setting.

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Section: Methodsmentioning

confidence: 99%

Section: Personalized Behaviorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

Hellou

Lim

Gasteiger

et al. 2022

Int J of Soc Robotics

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“…SAR behaviors can encompass varying strategies from emotional 21 to persuasive, 22 while also considering social norms 23 to engage with older adults. An open challenge exists to adapt robot behavioral strategies to achieve the expectations of older adults and gain user trust and adherence.…”

Section: Open Challengesmentioning

confidence: 99%

“… 29 In designing SAR behaviors for effective HRI with older adults, emotional 21 or persuasive 22 strategies can be implemented to adapt to user and task specific preferences. 23 …”

Section: Sar Awareness and Behavior Frameworkmentioning

confidence: 99%

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

Robinson

Nejat

2022

Journal of Rehabilitation and Assistive Technologies Engineerin

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As the global population ages, there is an increase in demand for assistive technologies that can alleviate the stresses on healthcare systems. The growing field of socially assistive robotics (SARs) offers unique solutions that are interactive, engaging, and adaptable to different users’ needs. Crucial to having positive human-robot interaction (HRI) experiences in senior care settings is the overall design of the robot, considering the unique challenges and opportunities that come with novice users. This paper presents a novel study that explores the effect of SAR design on HRI in senior care through a results-oriented analysis of the literature. We provide key design recommendations to ensure inclusion for a diverse set of users. Open challenges of considering user preferences during design, creating adaptive behaviors, and developing intelligent autonomy are discussed in detail. SAR features of appearance and interaction mode along with SAR frameworks for perception and intelligence are explored to evaluate individual developments using metrics such as trust, acceptance, and intent to use. Drawing from a diverse set of features, SAR frameworks, and HRI studies, the discussion highlights robot characteristics of greatest influence in promoting wellbeing and aging-in-place of older adults and generates design recommendations that are important for future development.

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Personalization and Localization to Improve Social Robots’ Behaviors: A Literature Review

2021

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Factors for Personalization and Localization to Optimize Human–Robot Interaction: A Literature Review

Cited by 54 publications

References 51 publications

Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

Technical Methods for Social Robots in Museum Settings: An Overview of the Literature

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

Personalization and Localization to Improve Social Robots’ Behaviors: A Literature Review

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