Socially Assistive Robots at Work: Making Break-Taking Interventions More Pleasant, Enjoyable, and Engaging

Zhang, Brian J.; Quick, Ryan; Helmi, Ameer; Fitter, Naomi T.

doi:10.1109/iros45743.2020.9341291

Cited by 7 publications

(2 citation statements)

References 31 publications

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“…Among the survey papers, 16 out of 26 (65%) used a bioinspired robot (note that one study [16] adopted two robotics platforms). Particularly, 14 studies (54%) adopted humanoid Self-disclosure (MW) Darwin mini Humanoid Semantic Understanding Autonomous [17] Physical Stimulation (PW) Nao and Poppy Humanoid Facial Expressions and Movement Semi-autonomous [18] Assessment Via 3D printed robot Humanoid Emotion Recognition Autonomous Clinical Interviews (MW) [19] Emotional Support (MW) Nao Humanoid Facial Expressions and Movement Non-autonomous [20] Physical Stimulation (PW) Cozmo Humanoid Facial Expressions and Movement Autonomous [21] Emotional Support (MW) Jibo Humanoid Movement Autonomous [22] Emotional Support (MW) Nao Humanoid Facial Expressions and Movement Semi-autonomous [16] Emotional Support (MW) Emarv4 and Blossom Non-humanoid and Animal-like Facial Expressions and Movement Non-autonomous [23] Fall Detection (PW) Side-bot Humanoid Facial Expressions Autonomous [24] Physical Stimulation (PW) Reeti Non-humanoid Facial Expressions and Movement Non-autonomous [25] Food Promotion (PW) Cozmo Non-humanoid Facial Expressions and Movement Semi-autonomous [26] Physical Stimulation (PW) Pepper Humanoid Emotion Recognition Autonomous [1] Emotional Support (MW) Pepper Humanoid Facial Expressions and Movement Semi-autonomous [27] Emotional Support (MW) IRS Animal-like Facial Expressions and Movement Semi-autonomous [28] Emotional Support (MW) PR2 Not-humanoid Movement Semi-autonomous [29] Food Promotion (PW) Reeti Non-humanoid Facial Expressions Autonomous [30] Emotional Support (MW) Alice Humanoid Facial Expressions and Movement Semi-autonomous [31] Emotional Support (MW) Huggable Animal-like Facial Expressions and Movement Non-autonomous [32] Entertainment (MW) Nao Humanoid Facial Expressions and Movement Semi-autonomous [33] Physical Stimulation (PW) Nao Humanoid Facial Expressions and Movement Non-autonomous Fig. 4.…”

Section: Affective Robot's Shape (Rq3)mentioning

confidence: 99%

“…First (from RQ1), we found that the surveyed papers exploited affective robots to promote either mental (e.g., [12], [13], [37]) and physical wellbeing (e.g., [17], [20]). Specifically, we observed that affective robots that addressed mental wellbeing adopted both expressive behaviors (e.g., facial expression, emotional movements) and emotion recognition capabilities (e.g., semantic understanding), while the affective robots for physical wellbeing mostly were endowed with expressive capabilities only.…”

Section: A Recommendationsmentioning

confidence: 99%

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Affective Robotics For Wellbeing: A Scoping Review

Spitale

Güneş

2022

2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

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Affective robotics research aims to better understand human social and emotional signals to improve humanrobot interaction (HRI), and has been widely used during the last decade in multiple application fields. Past works have demonstrated, indeed, the potential of using affective robots (i.e., that can recognize, or interpret, or process, or simulate human affects) for healthcare applications, especially wellbeing. This paper systematically review the last decade (January 2013 -May 2022) of HRI literature to identify the main features of affective robotics for wellbeing. Specifically, we focused on the types of wellbeing goals affective robots addressed, their platforms, their shapes, their affective capabilities, and their autonomy in the surveyed studies. Based on this analysis, we list a set of recommendations that emerged, and we also present a research agenda to provide future directions to researchers in the field of affective robotics for wellbeing.

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Section: Affective Robot's Shape (Rq3)mentioning

confidence: 99%

Section: A Recommendationsmentioning

confidence: 99%

Affective Robotics For Wellbeing: A Scoping Review

Spitale

Güneş

2022

2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

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Robot-Mediated Nudges for Workplace Health: Not a One-Size-Fits-All Modeling Problem

Preston,

Dinsdale,

Shippy

et al. 2023

Int J of Soc Robotics

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Prolonged sedentary behavior in the vast population of office and remote workers leads to increased cardiovascular and musculoskeletal health challenges, and existing solutions for encouraging breaks are either costly health coaches or notification systems that are easily ignored. A socially assistive robot (SAR) for promoting healthy workplace practices could provide the physical presence of a health coach along with the scalability of a notification system. To investigate the impact of such a system, we implemented a SAR as an alternative break-taking support solution and examined its impact on individual users’ break-taking habits over relatively long-term deployments. We conducted an initial two-month-long study (N = 7) to begin to understand the robot’s influence beyond the point of novelty, and we followed up with a week-long data collection (N = 14) to augment the dataset size. The resulting data was used to inform a robot behavior model and formulate possible methods of personalizing robot behaviors. We found that uninterrupted sitting time tended to decrease with our SAR intervention. During model formulation, we found participant responsiveness to the break-taking prompts could be classified into three archetypes and that archetype-specific adjustments to the general model led to improved system success. These results indicate that break-taking prompts are not a one-size-fits-all problem, and that even a small dataset can support model personalization for improving the success of assistive robotic systems.

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Human–Robot Companionship: Current Trends and Future Agenda

Ahmed,

Buruk,

Hamari

2024

Int J of Soc Robotics

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The field of robotics has grown exponentially over the years, especially the social aspect, which has enabled robots to interact with humans meaningfully. Robots are now used in many domains, such as manufacturing, healthcare, education, entertainment, rehabilitation, etc. Along with their widespread usage in many real-life environments, robots have been used as companions to humans. With the increased amount of research done on human–robot companionship (HRC), it is important to understand how this domain is developing, in which direction, and what the future might hold. There is also a need to understand the influencing factors and what kind of empirical results are in the literature. To address these questions, we conducted a systematic literature review and analyzed a final number of 134 relevant articles. The findings suggest that anthropomorphic and zoomorphic robots are more popular as human companions, while there is a lack of interest in functional and caricatured robots. Also, human-like and animal-like features are implemented more in companion robots. Studies rarely exploit the mobility available in these robots in companionship scenarios, especially in outdoor settings. In addition to that, co-existence and co-performance-based implementation with humans have been observed rarely. Based on the results, we propose a future research agenda that includes thematic, theoretical, methodological, and technological agendas. This study will help us understand the current state and usage of robotic companions which will then potentially aid in determining how HRC can be leveraged and integrated more seamlessly into human lives for better effectiveness.

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Socially Assistive Robots at Work: Making Break-Taking Interventions More Pleasant, Enjoyable, and Engaging

Cited by 7 publications

References 31 publications

Affective Robotics For Wellbeing: A Scoping Review

Affective Robotics For Wellbeing: A Scoping Review

Robot-Mediated Nudges for Workplace Health: Not a One-Size-Fits-All Modeling Problem

Human–Robot Companionship: Current Trends and Future Agenda

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