Human-Like Guide Robot that Proactively Explains Exhibits

Iio, Takamasa; Satake, Satoru; Kanda, Takayuki; Hayashi, Kotaro; Ferreri, Florent; Hagita, Norihiro

doi:10.1007/s12369-019-00587-y

Cited by 52 publications

(33 citation statements)

References 34 publications

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“…Therefore, we need to run field experiments for conversation in a nursing home setup. For such experiments, we need to develop functions for conversation to encourage users to interact with robots in the long term, such as interactions related to the everyday routine (de Graaf et al, 2015 ) and remember the user's name and past conversations (Iio et al, 2020a ). Moreover, in the future, it could be interesting to investigate the words and expressions preferred by the elderly.…”

Section: Discussion and Limitationsmentioning

confidence: 99%

The Effects of Physically Embodied Multiple Conversation Robots on the Elderly

et al. 2021

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In recent years, communication robots aiming to offer mental support to the elderly have attracted increasing attention. Dialogue systems consisting of two robots could provide the elderly with opportunities to hold longer conversations in care homes. In this study, we conducted an experiment to compare two types of scenario-based dialogue systems with different types of bodies—physical and virtual robots—to investigate the effects of embodying such dialogue systems. Forty elderly people aged from 65 to 84 interacted with either an embodied desktop-sized humanoid robot or computer graphic agent displayed on a monitor. The elderly participants were divided into groups depending on the success of the interactions. The results revealed that (i) in the group where the robots responded more successfully with the expected conversation flow, the elderly are more engaged in the conversation with the physical robots than the virtual robots, and (ii) the elderly in the group in which robots responded successfully are more engaged in the conversation with the physical robots than those in the group in which the robots responded with ambiguous responses owing to unexpected utterances from the elderly. These results suggest that having a physical body is advantageous in promoting high engagement, and the potential advantage appears depending on whether the system can handle the conversation flow. These findings provide new insight into the development of dialogue systems assisting elderly in maintaining a better mental health.

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Section: Discussion and Limitationsmentioning

confidence: 99%

The Effects of Physically Embodied Multiple Conversation Robots on the Elderly

et al. 2021

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“…On the other hand, more than half of the guidance students think that they might lose their future jobs to a robot. Digital technologies and visitors' strong engagement with the technologies in museums (Ch'ng et al, 2019), robot guides identifying individuals, estimating the exhibits at which visitors are looking, and approaching them to give information, and expressing a friendlier attitude to repeat visitors (Iio et al, 2019), robot tour guides welcoming tourists (Chaudhary, 2018), robot tour guides replacing human guides (Al-Wazzan et al, 2016), the interaction between robot guides and humans (Diallo et al, 2015) show the signs that the human guide jobs are in danger.…”

Section: Discussionmentioning

confidence: 99%

The Future of Tourist Guidance Concerning the Digital Technology: A Comparative Study

Nazlı

2020

International Journal of Contemporary Tourism Research

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The advancements in robotic technologies, artificial intelligence, and digital applications prepared the grounds for occupations, especially tourist guidance in the tourism industry. The study is one of the preliminary studies in its field having a comparative approach to analyze tourist guidance concerning the development of digital technology from the perspective of tourist guidance students and Turkish professional tour guides. Simple random sampling is used in the study. The first sample is 52 tourist guidance students in a foundation university. The second sample is 20 professional tour guides. A structured interview technique is used to collect data from the students and a telephone interview technique is used for the tour guides. Findings reveal that the guides do not believe that digital development will affect their jobs negatively soon but they know there is a threat of robots with artificial intelligence, the use of digital applications, and smart technologies. They highlight the key tools on their hands such as the human touch and emotions, human expression of feelings about tourist spots instead of digital voices, apps, and virtual tours. More than half of the guidance students think that they are going to lose their jobs to a robot guide. The study enlightens the field of tourist guidance for researchers and organizations.

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“…on Differences in Pre-touch Distance In our experiments, we found that the agents who reacted at a closer pre-touch distance conveyed a friendlier impression to the participants. In the past, researchers have tried to build up relationships between humans and robots through long-term interaction, where the interaction content or robots' behaviors gradually changes in order to express familiarity [27], [28], [29]. In this context, as part of the behavior to express such emotions, we can expect to increase friendly relationship impressions by gradually decreasing the pre-touch distance in human-robot interactions.…”

Section: Expression Of Intimacy In Pre-touch Interaction Basedmentioning

confidence: 99%

Modeling of Pre-Touch Reaction Distance for Faces in a Virtual Environment

Mejía

Saito

Kimoto

et al. 2021

Journal of Information Processing

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One of the most common cues in human relations is the reaction when someone approaches for a touch interaction. While the "before touch" distance has been investigated in daily life scenarios, it has not been studied for virtual environments. The measurements of a pre-touch distance in virtual reality can be applied to study social interactions especially for haptic interactions in virtual spaces where virtual agents interact autonomously with human participants. In the first stage of this study, we collected data to define a pre-touch distance when a virtual agent tries to touch the participant's face. On the basis of these results, we then classified participants into two groups based on preferred pre-touch distance: a "Near" group and a "Far" group. Next, we experimentally investigated the relationship between the participant's perception of an avatar's reaction to touch interaction and their preferred pre-touch distance. The results indicated that the participants felt friendliness to the agent who reacts with shorter pre-touch distance. We also found that the participant's pre-touch distance defined their preferences regarding the agent's behavior: those with a shorter pre-touch distance preferred agents with a closer interaction distance, and those with a longer pre-touch distance preferred agents with a longer interaction distance.

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Human-Like Guide Robot that Proactively Explains Exhibits

Cited by 52 publications

References 34 publications

The Effects of Physically Embodied Multiple Conversation Robots on the Elderly

The Effects of Physically Embodied Multiple Conversation Robots on the Elderly

The Future of Tourist Guidance Concerning the Digital Technology: A Comparative Study

Modeling of Pre-Touch Reaction Distance for Faces in a Virtual Environment

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