Literature overview: service robots in hospitality services and other industries
| Citation | Research method/Type of study | Anthropo-morphism | Social presence | Service triad: FLE considered | Outcome variables | Findings | Context |
|---|---|---|---|---|---|---|---|
| Tussyadiah and Park (2018) | Online survey/Laboratory study | X | Intention to adopt service robots | Consumer's intention to adopt hotel service robots is influenced by human-robot interaction dimensions of:
| Hotel | ||
| Ivanov et al. (2018) | Online survey/Laboratory study | Attitudes toward the use of robots in hotel services |
| Hotel | |||
| Lu et al. (2019) | Online Survey/Laboratory study | X | Consumers' acceptance of service robots |
| Hospitality industry | ||
| Choi et al. (2019) | Online survey/Laboratory study | X | Customer service evaluations |
| Hotel | ||
| Ivanov and Webster (2019) | Online survey/Laboratory study | Perceived appropriateness and intention to use service robots | Most commonly approved usage of robots is perceived to be:
| Hospitality/Tourism Industry | |||
| Qiu et al. (2020) | Online Survey/Laboratory Study | X | X | The hospitality experience |
| Restaurant | |
| Results from qualitative interviews used as input for conceptual framework | |||||||
| De Kervenoael et al. (2020) | Online Survey/Laboratory Study | Social robot usage intentions |
| Hospitality Industry | |||
| Structural equation modeling with data collected from semi-structured interviews | |||||||
| Ho et al. (2020) | Online survey/Laboratory study | Service experience evaluation |
| Hotel | |||
| Belanche et al. (2020) | Online survey/Laboratory study | X | Customer behavioral intentions to use and recommend service robots |
| Restaurant | ||
| Tuomi et al. (2020) | Observations and semi-structured interviews/Field study | X | Role of service robots in relation to service production and delivery | The study reviews applications of robotics in actual hospitality service
| Hospitality industry | ||
| Fan et al. (2020) | Online survey/Laboratory study | X | Customer dissatisfaction after a service failure |
| Hospitality/Tourism Industry | ||
| Choi et al. (2020) | Online Survey/Laboratory study | Perceived service quality:
|
| Hotel | |||
| Results from qualitative interviews with hotel staff were used as input | |||||||
| Zhong et al. (2020) | Online survey/Laboratory study |
|
| Hotel | |||
| Linet al. (2020) | Online survey/Laboratory study | X | Hospitality customers willingness to accept the use, and objection to the use of artificially intelligent devices |
| Hotel | ||
| Jia et al. (2021) | Online Survey/Laboratory study | X | Hotel visitors' satisfaction and purchase intention |
| Hotel | ||
| Lu et al. (2021) | Online Survey/Laboratory study | X | X | Consumption outcomes:
|
| Restaurant | |
| Other industries | |||||||
| Heerink et al. (2008) | Survey after actual experience with robot/Field study | X | Robot acceptance | Social abilities contribute to the sense of social presence when interacting with a robotic companion and this leads, through higher enjoyment to a higher acceptance score | Elderly-Healthcare | ||
| Barrett et al. (2012) | Divers- site visits, observations, formal interviews, informal discussions and publicly available documents/Field study | X | Impact of robots on hospital pharmacies |
| Healthcare | ||
| Fan et al. (2016) | Quasi-experimental design/Laboratory study | X | Customers' switching intentions following a robotic service/self-service technology machine failure |
| Retail | ||
| Mende et al. (2019) | Online survey/Laboratory study | X | X | Customer experience after interacting with humanoid service robots |
| Across service contexts | |
| van Pinxteren et al. (2019) | On-site survey/Experimental field study | X | Trust in humanoid robots |
| Public service | ||
| Current study | Study 1: Online survey after actual service robot experience/Field study | X | X | X | Customer repatronage | See findings | Restaurant |
| Study 2: Scenario-based experimental design | |||||||
| Citation | Research method/Type of study | Anthropo-morphism | Social presence | Service triad: FLE considered | Outcome variables | Findings | Context |
|---|---|---|---|---|---|---|---|
| Online survey/Laboratory study | X | Intention to adopt service robots | Consumer's intention to adopt hotel service robots is influenced by human-robot interaction dimensions of: Anthropomorphism Perceived intelligence Perceived security | Hotel | |||
| Online survey/Laboratory study | Attitudes toward the use of robots in hotel services | Respondents have positive attitudes toward the introduction of robots in hotels, but lower than toward service robots in general Respondents' attitude toward the use of robots in hotel services is influenced by: gender (male +), general attitude toward robots and perceptions of the experience provided by robots, advantages of robots and social skills of robots | Hotel | ||||
| Online Survey/Laboratory study | X | Consumers' acceptance of service robots | Performance efficacy, intrinsic motivation, facilitating conditions and emotions positively influence consumers' acceptance of service robots Human appearance may backfire for intelligent products due to the deterrence of perceived threats to human identity. Anthropomorphism negatively affects consumers' willingness to use robots in restaurants and retail stores | Hospitality industry | |||
| Online survey/Laboratory study | X | Customer service evaluations | Consumers respond more favorably to human service agents who use literal (vs figurative) language and due to the notion of anthropomorphism such an effect extends to service robots This language style effect is not observed among service kiosks as they lack humanlike features | Hotel | |||
| Online survey/Laboratory study | Perceived appropriateness and intention to use service robots | Most commonly approved usage of robots is perceived to be: Information provision Housekeeping activities Processing bookings, payments and documents The best indicator of willingness to use a robot in a hospitality setting is a person's general attitude toward robots | Hospitality/Tourism Industry | ||||
| Online Survey/Laboratory Study | X | X | The hospitality experience | Robots being perceived as humanlike or intelligent positively affects customer-robot rapport building and the hospitality experience Customer-employee rapport building was found to mediate the relationship between robot attributes and the hospitality experience, but customer-robot rapport building was not | Restaurant | ||
| Online Survey/Laboratory Study | Social robot usage intentions | Visitors' intentions to use social robots stem from the effects of technology acceptance variables and service quality dimensions (perceived usefulness, perceived ease of use, service assurance, personal engagement and tangibles) leading to perceived value, and two further dimensions from human-robot interaction (HRI): empathy and information sharing | Hospitality Industry | ||||
| Online survey/Laboratory study | Service experience evaluation | Service recovery from the human staff and from the service robot resulted in similar service evaluations Customers evaluate their service experience less favorably when receiving service recovery from fellow customers in comparison to human staff and service robots | Hotel | ||||
| Online survey/Laboratory study | X | Customer behavioral intentions to use and recommend service robots | Attributions mediate the relationships between affinity toward the robot and customer behavioral intentions to use and recommend service robots Customer's affinity toward the service robot positively affects service improvement attribution, which in turn has a positive influence on customer behavioral intentions Affinity negatively affects cost reduction attribution, which in turn has a negative effect on behavioral intentions human likeness has a positive influence on affinity | Restaurant | |||
| Observations and semi-structured interviews/Field study | X | Role of service robots in relation to service production and delivery | The study reviews applications of robotics in actual hospitality service Service robots either support or substitute employees in service encounters Service robots offer hospitality businesses a novel point of differentiation, but only if properly integrated as part of wider marketing efforts Automation of tasks, processes and, ultimately, jobs has serious socioeconomic implications at both the micro level and macro level | Hospitality industry | |||
| Online survey/Laboratory study | X | Customer dissatisfaction after a service failure | Technology anthropomorphism generally alleviates consumer dissatisfaction. Consumers show varying levels of dissatisfaction with a service failure caused by an anthropomorphic (vs non-anthropomorphic) self-service machine depending on their levels of interdependent self-construal (high vs low) and technology self-efficacy (high vs low). The underlying mechanism is self-blame Consumers low in technology self-efficacy and low in interdependent self-construal tend to blame themselves more when facing a service failure | Hospitality/Tourism Industry | |||
| Online Survey/Laboratory study | Perceived service quality: Interaction quality Outcome quality Physical service environment | Understanding the influence of human-robot interaction from the viewpoint of hoteliers and guests Human staff services are perceived higher than the services of service robots in terms of interaction quality and physical service environment. However, no significant difference in outcome quality | Hotel | ||||
| Online survey/Laboratory study | Attitude Purchase intention Purchase behavior | Purchase intention and attitude of the experimental group (robot hotel service) was higher than the control group (traditional hotel service) No effect found for purchase behavior | Hotel | ||||
| Online survey/Laboratory study | X | Hospitality customers willingness to accept the use, and objection to the use of artificially intelligent devices | Intention to use artificially intelligent devices is influenced by social influence, hedonic motivation, anthropomorphism, performance and effort expectancy, and emotions toward the artificially intelligent devices Anthropomorphism positively influences the effort expectancy of respondents Results are contingent on the type of hotel (limited-service hotel vs. full-service hotel) | Hotel | |||
| Online Survey/Laboratory study | X | Hotel visitors' satisfaction and purchase intention | User satisfaction with service robots in a hotel had a positive impact on user satisfaction, attitude toward the hotel and room purchase intention Users were most likely to accept medium-human likeness robots and least likely to accept high–human likeness robots | Hotel | |||
| Online Survey/Laboratory study | X | X | Consumption outcomes: Service encounter evaluation Revisit intentions Positive WOM intentions | Robotic service staff's humanlike attributes are key determinants of consumption outcomes Humanlike voice increases service encounter evaluation and behavioral intentions (revisit intentions and WOM intentions) Humanlike language positively affects service encounter evaluation Positive emotion accounts for the positive effect of humanlike voice Perceived credibility and positive emotion explain the language effect | Restaurant | ||
| Survey after actual experience with robot/Field study | X | Robot acceptance | Social abilities contribute to the sense of social presence when interacting with a robotic companion and this leads, through higher enjoyment to a higher acceptance score | Elderly-Healthcare | |||
| Divers- site visits, observations, formal interviews, informal discussions and publicly available documents/Field study | X | Impact of robots on hospital pharmacies | Benefits for employees include that (a) robots facilitates team collaboration, (b) free up time for the employees to engage in specialized and customer-centered work, (c) increase employees' institutional legitimacy (i.e. employees reinforcing their role and status in the organization) and (d) employees can upgrade their technical skills as authorized caretakers of the robots Potential negative employee consequence include (a) a loss of autonomy and frustration due to lack of interaction with customers and (b) employees feel a disruption to their normal routine when robots bring changes to their jobs | Healthcare | |||
| Quasi-experimental design/Laboratory study | X | Customers' switching intentions following a robotic service/self-service technology machine failure | Anthropomorphism negatively influences customer's switching intentions; e.g. a humanlike voice encourages customers to continue using the machines (rather than switching to a human) Powerful customers exhibit higher switching intentions when a machine has an anthropomorphic (vs robotic) voice in the absence of other customers, yet they show an opposite tendency in the presence of other customers. Therefore, the presence of other customers moderates the voice type effects on powerful customers' switching intentions Powerless customers demonstrate lower switching intentions when they experience a service failure with a humanlike (vs robotic) SST, regardless of the absence or (presence of other customers) | Retail | |||
| Online survey/Laboratory study | X | X | Customer experience after interacting with humanoid service robots | Interaction with humanoid service robots elicits compensatory responses compared to interactions with human employees Higher compensatory consumption poses opportunity to use service robots for upselling Higher compensatory consumption is due to greater consumer discomfort, i.e. eeriness and a threat to human identity Consumers respond more favorably to humanoid service robots that are less (vs more) humanlike Compensatory responses are (1) mitigated when consumer-perceived social belongingness is high, (2) attenuated when food is perceived as more healthful and (3) buffered when the robot is mechanized (rather than anthropomorphized) | Across service contexts | ||
| On-site survey/Experimental field study | X | Trust in humanoid robots | Anthropomorphism drives trust, intention to use and enjoyment If customers are comfortable with robotic interactions, humanlike appearance of robots is more effective than social functioning features If they are uncomfortable this effect is reversed | Public service | |||
| Current study | Study 1: Online survey after actual service robot experience/Field study | X | X | X | Customer repatronage | Restaurant | |
| Study 2: Scenario-based experimental design | |||||||