Towards a tool for the Subjective Assessment of Speech System Interfaces (SASSI)

By K. Hone, R. Graham. Natural Language Engineering, 2000

344 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/e581f1c4e7f5515ca7f7871274b1ffd03692a88c

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Citations in the corpus

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018, background): “…previous work on evaluating goal oriented dialogue systems such as TRAINS system (Ferguson et al., 1996), PARADISE (Walker et al., 1997), SASSI (Hone and Graham, 2000) and MIMIC (ChuCarroll, 2000), which are easier to evaluate than open-ended, non-goal oriented systems, because we can measure…”
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology (2020, methodology): “For the questionnaire item statement style, we largely followed SASSI [24].”
On Evaluating and Comparing Open Domain Dialog Systems (2018, neutral): “, 1997a), SASSI (Hone and Graham, 2000) and MIMIC (Chu-Carroll, 2000).”
Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy (2013, methodology): “Since there is no single questionnaire that includes all these factors, we designed our own survey using AttrakDiff [64], SASSI [65], ITU MOS [66].”
The RavenClaw dialog management framework: Architecture and systems (2009, background): “Evaluation of spoken language interfaces is a difficult task, and has received significant amounts of attention from the research community (Walker et al., 1997; Walker et al., 1998; Hone and Graham, 2000; Walker et al., 2001; Hartikainen et al., 2004).”
On Evaluating and Comparing Conversational Agents (2018, methodology): “Some of the notable earlier works include TRAINS system (Ferguson et al., 1996), PARADISE (Walker et al., 1997a), SASSI (Hone and Graham, 2000) and MIMIC (Chu-Carroll, 2000).”
A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses (2021, methodology): “The questionnaire item statement style follows subjective assessment of speech system interfaces (SASSI) (Hone & Graham, 2000).”