Max Louwerse | Tilburg University (original) (raw)
Papers by Max Louwerse
Discourse Processes, 2003
Discourse markers are verbal and non-verbal devices that mark transition points in communication.... more Discourse markers are verbal and non-verbal devices that mark transition points in communication. They presumably facilitate the construction of a mental representation of the events described by the discourse. A taxonomy of these relational markers is one important beginning in investigations of language use. While several taxonomies of coherence relations have been proposed for monolog, only a few have been proposed for dialog. This paper presents a taxonomy of between-turn coherence relations in dialog and discusses several issues that arise out of constructing such a taxonomy. A large number of discourse markers was sampled from the Santa Barbara Corpus of Spoken American English. Two judges substituted each type of these markers for all other markers. This extensive substitution test determined whether hyponymous, hypernymous and synonymous relations existed between the markers from this corpus of dialogs. Evidence is presented for clustering coherence relations into four categories: direction, polarity, acceptance and empathics.
Proceedings of the Annual Meeting of the Cognitive Science Society, 2009
Applied Cognitive Psychology, 2021
Experimental Brain Research, Feb 2, 2021
Discourse Processes, Jan 29, 2010
Two experiments were conducted to assess the effects of various constraints on the processing of ... more Two experiments were conducted to assess the effects of various constraints on the processing of jokes. Participants read humorous jokes and nonhumorous alternatives of the jokes, which were presented in 3 conditions that manipulated discourse context (comedy, political, and control). In Experiment 1, participants rated the funniness of texts and provided some recall data. In Experiment 2, participant's eye movements were collected to examine the effects of the different contexts on the online processing of the texts. Results confirmed ...
International journal of educational technology in higher education, Nov 16, 2020
Proceedings of the Annual Meeting of the Cognitive Science Society, 2007
International Journal of Psychophysiology, May 1, 2020
Proceedings of the Annual Meeting of the Cognitive Science Society, 2006
Proceedings of the Annual Meeting of the Cognitive Science Society, 2009
The Florida AI Research Society, 2006
Neuroscience & Biobehavioral Reviews, Apr 1, 2019
Journal of Psychophysiology, Jul 1, 2023
Cognitive Research: Principles and Implications
Virtual faces have been found to be rated less human-like and remembered worse than photographic ... more Virtual faces have been found to be rated less human-like and remembered worse than photographic images of humans. What it is in virtual faces that yields reduced memory has so far remained unclear. The current study investigated face memory in the context of virtual agent faces and human faces, real and manipulated, considering two factors of predicted influence, i.e., corneal reflections and skin contrast. Corneal reflections referred to the bright points in each eye that occur when the ambient light reflects from the surface of the cornea. Skin contrast referred to the degree to which skin surface is rough versus smooth. We conducted two memory experiments, one with high-quality virtual agent faces (Experiment 1) and the other with the photographs of human faces that were manipulated (Experiment 2). Experiment 1 showed better memory for virtual faces with increased corneal reflections and skin contrast (rougher rather than smoother skin). Experiment 2 replicated these findings, s...
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Computers in Human Behavior Reports, 2021
Abstract Despite advancements in computer graphics and artificial intelligence, it remains unclea... more Abstract Despite advancements in computer graphics and artificial intelligence, it remains unclear which aspects of intelligent virtual agents (IVAs) make them identifiable as human-like agents. In three experiments and a computational study, we investigated which specific facial features in static IVAs contribute to judging them human-like. In Experiment 1, participants were presented with facial images of state-of-the-art IVAs and humans and asked to rate these stimuli on human-likeness. The results showed that IVAs were judged less human-like compared to photographic images of humans, which led to the hypothesis that the discrepancy in human-likeness was driven by skin and eye reflectance. A follow-up computational analysis confirmed this hypothesis, showing that the faces of IVAs had smoother skin and a reduced number of corneal reflections than human faces. In Experiment 2, we validated these findings by systematically manipulating the appearance of skin and eyes in a set of human photographs, including both female and male faces as well as four different races. Participants indicated as quickly as possible whether the image depicted a real human face or not. The results showed that smoothening the skin and removing corneal reflections affected the perception of human-likeness when quick perceptual decisions needed to be made. Finally, in Experiment 3, we combined the images of IVA faces and those of humans, unaltered and altered, and asked participants to rate them on human-likeness. The results confirmed the causal role of both features for attributing human-likeness. Both skin and eye reflectance worked in tandem in driving judgements regarding the extent to which the face was perceived human-like in both IVAs and humans. These findings are of relevance to computer graphics artists and psychology researchers alike in drawing attention to those facial characteristics that increase realism in IVAs.
Discourse Processes, 2003
Discourse markers are verbal and non-verbal devices that mark transition points in communication.... more Discourse markers are verbal and non-verbal devices that mark transition points in communication. They presumably facilitate the construction of a mental representation of the events described by the discourse. A taxonomy of these relational markers is one important beginning in investigations of language use. While several taxonomies of coherence relations have been proposed for monolog, only a few have been proposed for dialog. This paper presents a taxonomy of between-turn coherence relations in dialog and discusses several issues that arise out of constructing such a taxonomy. A large number of discourse markers was sampled from the Santa Barbara Corpus of Spoken American English. Two judges substituted each type of these markers for all other markers. This extensive substitution test determined whether hyponymous, hypernymous and synonymous relations existed between the markers from this corpus of dialogs. Evidence is presented for clustering coherence relations into four categories: direction, polarity, acceptance and empathics.
Proceedings of the Annual Meeting of the Cognitive Science Society, 2009
Applied Cognitive Psychology, 2021
Experimental Brain Research, Feb 2, 2021
Discourse Processes, Jan 29, 2010
Two experiments were conducted to assess the effects of various constraints on the processing of ... more Two experiments were conducted to assess the effects of various constraints on the processing of jokes. Participants read humorous jokes and nonhumorous alternatives of the jokes, which were presented in 3 conditions that manipulated discourse context (comedy, political, and control). In Experiment 1, participants rated the funniness of texts and provided some recall data. In Experiment 2, participant's eye movements were collected to examine the effects of the different contexts on the online processing of the texts. Results confirmed ...
International journal of educational technology in higher education, Nov 16, 2020
Proceedings of the Annual Meeting of the Cognitive Science Society, 2007
International Journal of Psychophysiology, May 1, 2020
Proceedings of the Annual Meeting of the Cognitive Science Society, 2006
Proceedings of the Annual Meeting of the Cognitive Science Society, 2009
The Florida AI Research Society, 2006
Neuroscience & Biobehavioral Reviews, Apr 1, 2019
Journal of Psychophysiology, Jul 1, 2023
Cognitive Research: Principles and Implications
Virtual faces have been found to be rated less human-like and remembered worse than photographic ... more Virtual faces have been found to be rated less human-like and remembered worse than photographic images of humans. What it is in virtual faces that yields reduced memory has so far remained unclear. The current study investigated face memory in the context of virtual agent faces and human faces, real and manipulated, considering two factors of predicted influence, i.e., corneal reflections and skin contrast. Corneal reflections referred to the bright points in each eye that occur when the ambient light reflects from the surface of the cornea. Skin contrast referred to the degree to which skin surface is rough versus smooth. We conducted two memory experiments, one with high-quality virtual agent faces (Experiment 1) and the other with the photographs of human faces that were manipulated (Experiment 2). Experiment 1 showed better memory for virtual faces with increased corneal reflections and skin contrast (rougher rather than smoother skin). Experiment 2 replicated these findings, s...
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Computers in Human Behavior Reports, 2021
Abstract Despite advancements in computer graphics and artificial intelligence, it remains unclea... more Abstract Despite advancements in computer graphics and artificial intelligence, it remains unclear which aspects of intelligent virtual agents (IVAs) make them identifiable as human-like agents. In three experiments and a computational study, we investigated which specific facial features in static IVAs contribute to judging them human-like. In Experiment 1, participants were presented with facial images of state-of-the-art IVAs and humans and asked to rate these stimuli on human-likeness. The results showed that IVAs were judged less human-like compared to photographic images of humans, which led to the hypothesis that the discrepancy in human-likeness was driven by skin and eye reflectance. A follow-up computational analysis confirmed this hypothesis, showing that the faces of IVAs had smoother skin and a reduced number of corneal reflections than human faces. In Experiment 2, we validated these findings by systematically manipulating the appearance of skin and eyes in a set of human photographs, including both female and male faces as well as four different races. Participants indicated as quickly as possible whether the image depicted a real human face or not. The results showed that smoothening the skin and removing corneal reflections affected the perception of human-likeness when quick perceptual decisions needed to be made. Finally, in Experiment 3, we combined the images of IVA faces and those of humans, unaltered and altered, and asked participants to rate them on human-likeness. The results confirmed the causal role of both features for attributing human-likeness. Both skin and eye reflectance worked in tandem in driving judgements regarding the extent to which the face was perceived human-like in both IVAs and humans. These findings are of relevance to computer graphics artists and psychology researchers alike in drawing attention to those facial characteristics that increase realism in IVAs.