Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent

Exploring Non-Expert Robot Programming Through Crowdsourcing

“…Another consideration for our remote, novice programming proposal is whether this work can be crowdsourced effectively. The success of crowdsourcing in other tasks has been shown extensively in prior work, including for spoken dialog generation for conversational systems (Lasecki et al, 2013;Mitchell et al, 2014;Leite et al, 2016;Yu et al, 2016;Guo et al, 2017;Kennedy et al, 2017;Huang et al, 2018;Jonell et al, 2019) and interaction data and non-verbal behavior (Orkin and Roy, 2007;Orkin and Roy, 2009;Chernova et al, 2010;Rossen and Lok, 2012;Breazeal et al, 2013;Sung et al, 2016). In previous research that is, more relevant to ours, Lee and Ko (2011) crowdsourced non-expert programmers for an online study and found that personified feedback of a robot blaming itself for errors increased the non-programmers' motivation to program.…”

“…Prior work has used crowdsourcing for spoken dialog generation for conversational systems ( Jurčíček et al, 2011 ; Lasecki et al, 2013 ; Mitchell et al, 2014 ; Leite et al, 2016 ; Yu et al, 2016 ; Guo et al, 2017 ; Kennedy et al, 2017 ; Huang et al, 2018 ; Jonell et al, 2019 ), interaction data and non-verbal behavior ( Orkin and Roy, 2007 , Orkin and Roy, 2009 ; Chernova et al, 2010 ; Rossen and Lok, 2012 ; Breazeal et al, 2013 ; Sung et al, 2016 ). However, no previous work created a method to collect new robot behaviors for day-to-day tasks on a large scale using semi-situated non-experts.…”

Personalized and personal conversations : designing agents who want to know you

“…The Furhat also comes with standard interaction behavior, such as timings and clarification requests. It consists of an incremental dialogue management component and has been successfully deployed for academic purposes (Campos and Paiva, 2010;Kennedy et al, 2017).…”

“…However, this experiment was done in a lab-controlled setup. Setups in public spaces for real world evaluation are those of Kennedy et al (2017), Gockley et al (2005) and Kanda et al (2010), respectively social robots designed for small talk, interactive-storytelling, and giving directions and rapportbuilding. Kennedy et al (2017) placed their robot Kevin in an office space, where it could interact with all office workers.…”

“…Setups in public spaces for real world evaluation are those of Kennedy et al (2017), Gockley et al (2005) and Kanda et al (2010), respectively social robots designed for small talk, interactive-storytelling, and giving directions and rapportbuilding. Kennedy et al (2017) placed their robot Kevin in an office space, where it could interact with all office workers. Gockley et al (2005)'s robot Valerie was placed at the reception of a university, where visitors, employees and students could talk to her.…”