Understanding social interactions with socially assistive robotics in intergenerational family groups

Short, Elaine Schaertl; Swift-Spong, Katelyn; Shim, Hyunju; Wisniewski, Kristi M.; Zak, Deanah Kim; Wu, Shinyi; Zelinski, Elizabeth M.; Matarić, Maja J.

doi:10.1109/roman.2017.8172308

Cited by 32 publications

(22 citation statements)

References 19 publications

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“…Therefore, we propose relatedness as the wellbeing goal of IGC (as the dedicated approach to IGC design oriented toward wellbeing). Barrier dimensions of the IGC relating to empathy and perception can be addressed through the use of robots, chatbots, or digital mediators, which can facilitate collaboration and potentially alleviate negative sentiments and difficulties in communication and mutual understanding [86,87]. Apparently, as one of the strongest predictors of wellbeing, gratitude [88] appears to be missing from the literature.…”

Section: Discussionmentioning

confidence: 99%

Barriers and wellbeing-oriented enablers of intergenerational innovation in the digital age

Nurhas

Geisler

Ojala

et al. 2021

Univ Access Inf Soc

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So far, researchers have used a wellbeing-centered approach to catalyze successful intergenerational collaboration (IGC) in innovative activities. However, due to the subject’s multidisciplinary nature, there is still a dearth of comprehensive research devoted to constructing the IGC system. Thus, the purpose of this study is to fill a research void by providing a conceptual framework for information technology (IT) system designers to use as a jumping-off point for designing an IGC system with a wellbeing-oriented design. A systematic literature study was conducted to identify relevant terms and develop a conceptual framework based on a review of 75 selected scientific papers. The result consists of prominent thematic linkages and a conceptual framework related to design technology for IGC systems. The conceptual framework provides a comprehensive overview of IGC systems in the innovation process by identifying five barrier dimensions and using six wellbeing determinants as IGC catalysts. Moreover, this study discusses future directions for research on IGC systems. This study offers a novel contribution by shifting the technology design process from an age-based design approach to wellbeing-driven IGC systems. Additional avenues for investigation were revealed through the analysis of the study’s findings.

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Section: Discussionmentioning

confidence: 99%

Barriers and wellbeing-oriented enablers of intergenerational innovation in the digital age

Nurhas

Geisler

Ojala

et al. 2021

Univ Access Inf Soc

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“…Given the current limitations of robots, and the fairly narrow number of tasks any given robot can perform, games can be a suitable context in which mediator robots can be used. Short et al [31] studied family groups as they played games with a robot, with the goal of improving intergenerational family interactions. The robot played different roles depending on the game, being a competitor, a performer (one game consisted of working as a team to make the robot dance), or supporter -making positive comments about the family's collective creation in a scrapbooking creative game.…”

Section: Anchoring Interactions and Focusing Attentionmentioning

confidence: 99%

“…Some are simply case studies (e.g., [26]), others engage larger participant samples (e.g., [27]), some studies investigate the effects of the robot in the context of specific tasks (e.g., [20]), some leave the interaction free and open to what participants want to make of it, constrained just by the robots capabilities (e.g., [28]). Some of the robots used are designed with clinical applications in mind, such as assisting children with autism (e.g., [29]) or providing couples therapy (e.g., [30]), but many of them are intended for general use, for purposes such as promoting inter-generational interactions (e.g., [31]). Finally, some of these studies were conducted in lab settings (e.g., [27]) while others in more naturalistic settings such as nursing homes (e.g., [32]).…”

Section: Introductionmentioning

confidence: 99%

Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human–Robot Interaction Research

Chita-Tegmark

Scheutz

2020

Int J of Soc Robotics

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There is a close connection between health and the quality of ones social life. Strong social bonds are essential for health and wellbeing, but often health conditions can detrimentally affect a persons ability to interact with others. This can become a vicious cycle resulting in further decline in health. For this reason, the social management of health is an important aspect of healthcare. We propose that socially assistive robots (SARs) could help people with health conditions maintain positive social lives by supporting them in social interactions. This paper makes three contributions, as detailed below. We develop a framework of social mediation functions that robots could perform, motivated by the special social needs that people with health conditions have. In this framework we identify five types of functions that SARs could perform: a) changing how the person is perceived, b) enhancing the social behavior of the person, c) modifying the social behavior of others, d) providing structure for interactions, and e) changing how the person feels. We thematically organize and review the existing literature on robots supporting human-human interactions, in both clinical and non-clinical settings, and explain how the findings and design ideas from these studies can be applied to the functions identified in the framework. Finally, we point out and discuss challenges in designing SARs for supporting social interactions, and highlight opportunities for future robot design and HRI research on the mediator role of robots.

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“…The resource distribution task is, of course, not the first task that engages a single robot in an interaction with multiple people. Other tasks exist, but they are are often difficult to replicate as they rely on highly complex study protocols that involve highly trained confederates (e.g., see Jung et al [2015]), or complex games designed to explore one specific research question (e.g., see Oliveira et al [2018], Short et al [2017], andStrohkorb Sebo et al [2018]), or a specific robot design (e.g., see Hoffman and Ju [2014]), or they focus on remotely operated rather than autonomous robots (e.g., see You and Robert [2017]).…”

Section: Contributions With Respect To Existing Collaboration Tasksmentioning

confidence: 99%

Robot-Assisted Tower Construction—A Method to Study the Impact of a Robot’s Allocation Behavior on Interpersonal Dynamics and Collaboration in Groups

Jung

DiFranzo

Shen³

et al. 2020

J. Hum.-Robot Interact.

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Research on human-robot collaboration or human-robot teaming, has focused predominantly on understanding and enabling collaboration between a single robot and a single human. Extending human-robot collaboration research beyond the dyad, raises novel questions about how a robot should allocate resources among group members and about what the consequences of such allocation are for a group's social dynamics and outcomes. Methodological advances are needed to answer these questions allow researchers to collect data about a robot's impact not only on interactions with the robot but also on interactions of people with each other. This paper presents Robot Assisted Tower Construction, a novel task that allows researchers to examine the impact of a robot's allocation behavior on the dynamics of a group or team collaborating on a task. By focusing on the question of whether and how a robot's allocation of resources (wooden blocks required for a building task) affects collaboration dynamics and outcomes, a case is provided of how this task can be applied in a laboratory study with 124 participants to collect data about human robot collaboration that involves a group of people. We highlight the kinds of insights the task can yield and how it can be adapted to various human robot collaboration contexts. CCS Concepts: • Human-centered computing; • General and reference → Cross-computing tools and techniques; Empirical studies; • Applied computing → Psychology;

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Understanding social interactions with socially assistive robotics in intergenerational family groups

Cited by 32 publications

References 19 publications

Barriers and wellbeing-oriented enablers of intergenerational innovation in the digital age

Barriers and wellbeing-oriented enablers of intergenerational innovation in the digital age

Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human–Robot Interaction Research

Robot-Assisted Tower Construction—A Method to Study the Impact of a Robot’s Allocation Behavior on Interpersonal Dynamics and Collaboration in Groups

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