Controlling robots in the home: Factors that affect the performance of novice robot operators

McGinn, Conor; Sena, Aran; Kelly, Kevin

doi:10.1016/j.apergo.2017.05.005

Cited by 17 publications

(11 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Bruemmer et al (Bruemmer et al 2004) develop a robot control system for a mixed-initiative setting, providing substantial experimental evidence for the success of a very broad spectrum of novice users to operate the robot in an urban search and rescue scenario. McGinn et al (McGinn, Sena, and Kelly 2017) investigate the performance and control behavior of novice robot operators in a home environment. They find a substantial variance in performance, indicating a wide spectrum of abilities among novice operators.…”

Section: Related Workmentioning

confidence: 99%

“…Much research has focused on improving the operator's control, suggesting various synchronous and asynchronous interfaces for operating the robots and managing the task (Wang et al 2011;Kosti, Sarne, and Kaminka 2014). Still, not all human operators possess the same level of expertise, and the effectiveness of their navigation can highly vary (McGinn, Sena, and Kelly 2017). Therefore the ability to evaluate operators' performance in retrospect is crucial.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effective Operator Summaries Extraction

Nimni

Sarne

2020

HCOMP

View full text Add to dashboard Cite

This paper proposes a heuristic algorithm for effectively summarizing the work of novice robot operators, e.g., ones recruited through crowdsourcing platforms, in search and rescue-like tasks. Such summaries can be used for many purposes, perhaps most notably for monitoring and evaluating an operator’s performance in settings where information gaps preclude automatic evaluation. The underlying idea of our method is dividing the task timeline into intervals, and extracting a subset of high-scoring and low-scoring segments within, using a heuristic scoring function. This results in a short effective summary of the operator’s work, based on which several other crowdworkers can evaluate her performance. The effectiveness of the proposed method was extensively evaluated and compared to a large set of alternative methods through a series of experiments in Amazon Mechanical Turk. The analysis of the results reveals that the proposed method outperforms all tested alternatives. Finally, we evaluate the performance one may achieve with the use of machine learning for predicting the operator’s performance in our domain. While this approach manages to reach a performance level similar to the one achieved with summaries, it requires an order-of-magnitude greater effort for training (measured in terms of crowdworkers time).

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effective Operator Summaries Extraction

Nimni

Sarne

2020

HCOMP

View full text Add to dashboard Cite

show abstract

“…They are not only suitable for unique, dangerous, or professional fields, but also as a part of people's everyday lives. Social robots are used in various spaces and serve in a range of roles and tasks (e.g., in supermarkets, hospitals, schools, homes, and restaurants; Looije et al, 2010;Koceski and Koceska, 2016;Sabelli and Kanda, 2016;Benitti and Spolaôr, 2017;McGinn et al, 2017;Chang et al, 2018;Savela et al, 2018) In human-human interaction, social perception refers to the process in which people automatically classify social groups (e.g., people of a particular gender, age group, or race) based on social cues, such as the tone of voice and gestures (Jussim, 1991). Psychologists have noted that according to role congruity theories, men are more likely to acquire leadership positions due to their assertiveness, strength, and independence, whereas women are more likely to fill communal roles due to traits of sensitivity and emotional expressiveness (Eagly et al, 2000;Ceci et al, 2009;Barth et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…They are not only suitable for unique, dangerous, or professional fields, but also as a part of people’s everyday lives. Social robots are used in various spaces and serve in a range of roles and tasks (e.g., in supermarkets, hospitals, schools, homes, and restaurants; Looije et al, 2010 ; Koceski and Koceska, 2016 ; Sabelli and Kanda, 2016 ; Benitti and Spolaôr, 2017 ; McGinn et al, 2017 ; Chang et al, 2018 ; Savela et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Designing Gestures of Robots in Specific Fields for Different Perceived Personality Traits

Niu

Wu²,

Dou³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

Since their development, social robots have been a popular topic of research, with numerous studies evaluating their functionality or task performance. In recent years, social robots have begun to be regarded as social actors at work, and their social attributes have been explored. Therefore, this study focused on four occupational fields (shopping reception, home companion, education, and security) where robots are widely used, exploring the influence of robot gestures on their perceived personality traits and comparing the gesture design guidelines required in specific occupational fields. The study was conducted in two stages. In the first stage, an interactive script was developed; moreover, observation was employed to derive gestures related to the discourse on the fields of interest. The second stage involved robot experimentation based on human–robot interaction through video. Results show that metaphoric gestures appeared less frequently than did deictic, iconic, or beat gestures. Robots’ perceived personality traits were categorized into sociality, competence, and status. Introducing all types of gestures helped enhance perceived sociality. The addition of deictic, and iconic gestures significantly improved perceived competence and perceived status. Regarding the shopping reception robot, after the inclusion of basic deictic and iconic gestures, sufficient beats gestures should be implemented to create a friendly and outgoing demeanor, thereby promoting user acceptance. In the home companion, education, and security contexts, the addition of beat gestures did not affect the overall acceptance level; the designs should instead be focused on the integration of the other gesture types.

show abstract

“…The ECI input commands include fixation, gaze gesture, blink, saccade, and smooth pursuit (Hasse et al, 2014). ECI has become the main control mode in the fields of head mounted displays (HMD) aiming system (Toyama et al, 2014), and Artificial Intelligence (Mcginn et al, 2017), and it can also help patients with amyotrophic lateral sclerosis, hemiplegia, and pediatric cerebral palsy to communicate without obstacles. As the first interactive entrance, the user interface is one of the most important components in the ECI system, and all the ECI input commands are directly related to it.…”

Section: Introductionmentioning

confidence: 99%

Improving eye–computer interaction interface design: Ergonomic investigations of the optimum target size and gaze-triggering dwell time

Niu

Gao

Zhang

et al. 2020

JEMR

View full text Add to dashboard Cite

The Midas touch is reflected by the interactive feedback of interface functional elements, and a low level of spatial accuracy is related to the interaction area. This study tried to solve these two problems from the perspective of human-computer interactions and ergonomics. Two experiments were conducted to explore the optimum target size and gaze-triggering dwell time of the eye–computer interaction (ECI) system. Experimental Series 1 was used as the pre-experiment to identify the size that has a greater task completion rate. Experimental Series 2 was used as the main experiment to investigate the optimum gaze-triggering dwell time by using a comprehensive evaluation of the task completion rate, reaction time, and NASA-TLX (Task Load Index). In Experimental Series 1, the optimal element size was determined to be 256 × 256p x2. The conclusion of Experimental Series 2 was that when the dwell time is set to 600 ms, the efficiency of the interface is the highest, and the task load of subjects is minimal as well. Finally, the results of Experiment Series 1 and 2 have positive effects on improving the usability of the interface. The optimal control size and the optimal dwell time obtained from the experiments have certain reference and application value for interface design and software development of the ECI system.

show abstract

Controlling robots in the home: Factors that affect the performance of novice robot operators

Cited by 17 publications

References 32 publications

Effective Operator Summaries Extraction

Effective Operator Summaries Extraction

Designing Gestures of Robots in Specific Fields for Different Perceived Personality Traits

Improving eye–computer interaction interface design: Ergonomic investigations of the optimum target size and gaze-triggering dwell time

Contact Info

Product

Resources

About