Personal robots can help people live safer, more efficient and comfortable lives. However, such benefits cannot be achieved if people do not use, or accept, personal robots. The use of a technology is predominantly influenced by an individual's intention to use it, which is influenced by his or her attitudes toward it (Davis, 1989). Presently, the key factors that impact the use of personal robots are not fully understood. Two studies were conducted as first step assessments of the Smarr, Fisk, and Rogers (2013) theoretically-based framework of acceptance of personal robots. In study 1, 14 participants used a personal robot (a robot lawn mower) at their homes for about six weeks. Their acceptance and factors important for acceptance identified in the framework were measured using pre-use and post-use interviews and questionnaires, and weekly diaries. The framework was conceptually validated; participants mentioned 16 of the 20 factors in the Smarr et al. (2013) framework. However, the framework did not fully account for the breadth of factors discussed by participants, thereby suggesting variables may need to be added to or removed from the framework. In study 2, 280 participants reported their initial acceptance of a personal robot (a robot mower) with different levels of reliability and communication of feedback in an online survey. Level of robot reliability did significantly affect attitudinal and intentional acceptance. Follow up analyses indicated a trend that participants who received no information on reliability had numerically higher acceptance than participants who were informed that the robot had 70% reliability or 90% reliability. Neither communication of feedback nor its interaction with reliability affected acceptance. The Smarr et al. (2013) framework explained about 60% of the variance in intentional acceptance and 57% in attitudinal acceptance of a personal robot. Eight of the 15 relationships tested were supported via path analysis. Findings largely supported the Smarr et al. (2013) framework in explaining what impacts intentional and attitudinal acceptance of a personal robot. Results from these studies can inform the Smarr et al. (2013) framework of robot acceptance and other models of acceptance, and can guide designers in developing acceptable personal robots.

Although humanoid robots are being designed to assist people in various tasks, there remain gaps in our understanding of the perceptions that humanoid faces evoke in the user. Understanding user perceptions would help design robots that are better suited for the target user group. Younger and older adults’ preferences for robot appearance were assessed out of three levels of human-likeness. In general, people perceived a mixed human-robot appearance less favorably compared to highly human and highly robotic appearances. Additionally the nature of task also influenced people’s overall perceptions of robots. Robots were most positively evaluated for assistance with chores and less positively for personal care and decision-making. Moreover, task and robot humanness had an interactive effect on people’s likability, trust, and perceived usefulness toward robots. Age-related differences in preferences of robot humanness were also observed. Older adults showed a higher inclination toward human-looking appearance of robots whereas younger adults’ preferences were more distributed across the levels of humanness. An appearance with mixed human-robot features was more likely to be rejected by older adults than by younger adults, and the difference was most striking for a decision-making task. Besides the humanness of the robot face, perceptions of robot appearances were also influenced by factors such as robot gender, specific facial features/aesthetics, expressiveness, perceived personality, and perceived capability. Future studies should measure the relative weight of these different factors in the formation of perceptions, both at a global level and at a task-specific level.

Title: Robot or Human? The Marketing Phenomenon of Virtual Influencers: A Case Study About Virtual Influencers’ Parasocial Interaction on Instagram. Purpose: As it is already established that human influencers can create parasocial interaction with their followers, the purpose of this study is to explore parasocial interaction with virtual influencers through their perceived source credibility. Research Questions: How are consumers responding to interaction with virtual influencers on Instagram? What factors in source credibility facilitate parasocial interaction between the actors?  Method: This case study has conducted semi-structured interviews with Swedish consumers along with information collected on two virtual fashion influencers: LilMiquela and Noonoouri. Before the interviews, a pretest in interacting with the virtual influencers on Instagram was conducted. Afterwards, the transcripts have been analyzed in accordance to the presented operationalization and led to subcategories found to be relevant for the facilitation of PSI.  Conclusion: It was shown that consumers responded better to interaction with humanlike virtual influencers regarding their appearance and lifelike activities. Although, consumers also perceive their appearance and behavior as unpleasant and unrealistic when being too close to reality. Their perceived humanness affected the level of attractiveness, similarity and trustworthiness. As such, these are the factors that affect the degree of source credibility and thus facilitate PSI with them. Virtual influencers stand in front of a problem with both authenticity and transparency, as they are created and owned by companies. This has implications for their overall attractiveness, as authenticity is shown to be important for consumers on Instagram. However, lack of authenticity and transparency mostly implicates the trustworthiness of them, as the communicator is unknown. Virtual influencers are perceived to have a superior ability of being available online and personal in interaction. Therefore, it is shown to have a positive effect on the facilitation of PSI as it increases their attractiveness. However, it also indicates that they are controlled by a company which has a negative effect as it decreases the trustworthiness of them. To conclude, consumers’ virtual robot acceptance is proposed to be a precursor for developing PSI with virtual influencers in conjunction with the three factors in source credibility: trustworthiness, attractiveness and similarity.

Utvecklingen av robotar inom äldreomsorg går fort framåt. Det finns ett brett utbud av robotar för olika sammanhang. År 2050 förväntas en global fördubbling av andelen äldre människor. Robotar som kan hjälpa till i äldrevården har fått ökat politiskt intresse då den demografiska utvecklingen pekar på att andelen äldre kommer öka i omfattning. Denna rapport kommer att undersöka vilka faktorer som gör att äldre människor accepterar användandet av robotar samt hur experter inom robotik arbetar för att utveckla dessa. Studien kommer baseras på insamlad data från både äldre människor, 65 år och över, samt experter inom robotik. Till grund för uppsatsen har en mängd vetenskapliga artiklar använts. Resultatet av studien visar att faktorer som är viktiga för äldres acceptans av robotar går in under utformning, kunskap, säkerhet, integritet, lätt att använda samt uppfattad användbarhet. Studien visar att experter i nuläget arbetat väl med hänsyn till de äldre. / The development of robotics within the elderly care is moving fast forward. There is a wide range of robots for different occasions. By year 2050 it is expected that the worlds older population will be doubled. Robots that can help in the elderly care has thus gotten a political interest hence the demographic development that point to an increase in the proportion of elderly people. This essay will investigate which factors make elderly people accept the usage of robots and how experts in robotics work to develop these robots. The study will be based on data from both elderly people over 65 and experts in robotics and a number of scientific articles have been used for the essay. The results of the study show that factors that are important for older people's acceptance of robots fall under; configuration, knowledge, safety, integrity, perceived ease of use and perceived usefulness. The study shows that experts are currently working well with regard to the elderly.