2023
Conference article
Open Access
Towards adaptation of humanoid robot behaviour in serious game scenarios using reinforcement learning
Zedda E., Manca M., Paternò F.
Repetitive cognitive training can be seen as tedious by older adults and cause participants to drop out. Humanoid robots can be exploited to reduce boredom and the cognitive burden in playing serious games as part of cognitive training. In this paper, an adaptive technique to select the best actions for a robot is proposed to maintain the attention level of elderly users during a serious game. The goal is to create a strategy to adapt the robot's behaviour to stimulate the user to remain attentive through reinforcement learning. Specifically, a learning algorithm (QL) has been applied to obtain the best adaptation strategy for the selection of the robot's actions. The robot's actions consist of a combination of verbal and nonverbal interaction aspects. We have applied this approach to the behaviour of a Pepper robot for which two possible personalities have been defined. Each personality is exhibited by performing specific actions in the various modalities supported. Simulation results indicate learning convergence and seem promising to validate the effectiveness of the obtained strategy. Preliminary test results with three participants suggest that the adaption in the robot is perceived.Source: ALTRUIST 2022 - 2nd Workshop on sociAL roboTs for peRsonalized, continUous and adaptIve aSsisTance, pp. 93–99, Florence, Italy, 16/12/2022
Zedda E., Manca M., Paternò F.
Repetitive cognitive training can be seen as tedious by older adults and cause participants to drop out. Humanoid robots can be exploited to reduce boredom and the cognitive burden in playing serious games as part of cognitive training. In this paper, an adaptive technique to select the best actions for a robot is proposed to maintain the attention level of elderly users during a serious game. The goal is to create a strategy to adapt the robot's behaviour to stimulate the user to remain attentive through reinforcement learning. Specifically, a learning algorithm (QL) has been applied to obtain the best adaptation strategy for the selection of the robot's actions. The robot's actions consist of a combination of verbal and nonverbal interaction aspects. We have applied this approach to the behaviour of a Pepper robot for which two possible personalities have been defined. Each personality is exhibited by performing specific actions in the various modalities supported. Simulation results indicate learning convergence and seem promising to validate the effectiveness of the obtained strategy. Preliminary test results with three participants suggest that the adaption in the robot is perceived.Source: ALTRUIST 2022 - 2nd Workshop on sociAL roboTs for peRsonalized, continUous and adaptIve aSsisTance, pp. 93–99, Florence, Italy, 16/12/2022
See at:
ceur-ws.org 
| ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
An environment to collect personal memories of older adults and use them to personalise serious games with humanoid robots
Catricalà B., Ledda M., Manca M., Paternò F., Santoro C., Zedda E.
One of the goals of Ambient Assisted Living (AAL) solutions is to be able to stimulate the cognitive resources of older adults. An innovative way to address such stimulation is the use of serious games delivered through humanoid robots, as they can provide an engaging way to perform exercises useful for training human memory, attention, processing, and planning activities. This paper presents an approach to supporting cognitive stimulation based on personal memories. The humanoid robot can exhibit different behaviours using various modalities, and propose the games in a way personalised to specific individuals' requirements, preferences, abilities, and motivations, which can vary among older adults, and even dynamically evolve over time for the same person depending on changing user needs and health conditions. Using personal memories associated with facts and events that occurred in older adults life in the serious games can increase their engagement, and thus potentially reduce the cognitive training drop-out.Source: ALTRUIST 2022 - 2nd Workshop on sociAL roboTs for peRsonalized, continUous and adaptIve aSsisTance, pp. 44–54, Florence, Italy, 16/12/2022
Catricalà B., Ledda M., Manca M., Paternò F., Santoro C., Zedda E.
One of the goals of Ambient Assisted Living (AAL) solutions is to be able to stimulate the cognitive resources of older adults. An innovative way to address such stimulation is the use of serious games delivered through humanoid robots, as they can provide an engaging way to perform exercises useful for training human memory, attention, processing, and planning activities. This paper presents an approach to supporting cognitive stimulation based on personal memories. The humanoid robot can exhibit different behaviours using various modalities, and propose the games in a way personalised to specific individuals' requirements, preferences, abilities, and motivations, which can vary among older adults, and even dynamically evolve over time for the same person depending on changing user needs and health conditions. Using personal memories associated with facts and events that occurred in older adults life in the serious games can increase their engagement, and thus potentially reduce the cognitive training drop-out.Source: ALTRUIST 2022 - 2nd Workshop on sociAL roboTs for peRsonalized, continUous and adaptIve aSsisTance, pp. 44–54, Florence, Italy, 16/12/2022
See at:
ceur-ws.org | ISTI Repository | CNR ExploRA
2023
Report
Unknown
Modifiche piattaforma MAUVE++ per realizzare il monitoraggio nazionale dell'accessibilità di marzo 2023
Iannuzzi N., Manca M., Paternò F., Santoro C.
In questa nota riportiamo le principali modifiche effettuate alla piattaforma MAUVE+ per poter effetuare il monitoraggio nazionale dei siti web delle pubbliche amministrazioni di Marzo 2023, che è stato reso pubblico tramite la dashboard dell'accessibilitàSource: ISTI Project Report, PNRR, Misura 1.4.2, 2023
Iannuzzi N., Manca M., Paternò F., Santoro C.
In questa nota riportiamo le principali modifiche effettuate alla piattaforma MAUVE+ per poter effetuare il monitoraggio nazionale dei siti web delle pubbliche amministrazioni di Marzo 2023, che è stato reso pubblico tramite la dashboard dell'accessibilitàSource: ISTI Project Report, PNRR, Misura 1.4.2, 2023
See at: CNR ExploRA
2023
Conference article
Open Access
An adaptive behaviour-based strategy for SARs interacting with older adults with MCI during a serious game scenario
Zedda E., Manca M., Paternò F., Santoro C.
The monotonous nature of repetitive cognitive training may cause losing interest in it and dropping out by older adults. This study introduces an adaptive technique that enables a Socially Assistive Robot (SAR) to select the most appropriate actions to maintain the engagement level of older adults while they play the serious game in cognitive training. The goal is to develop an adaptation strategy for changing the robot's behaviour that uses reinforcement learning to encourage the user to remain engaged. A reinforcement learning algorithm was implemented to determine the most effective adaptation strategy for the robot's actions, encompassing verbal and nonverbal interactions. The simulation results demonstrate that the learning algorithm achieved convergence and offers promising evidence to validate the strategy's effectiveness.Source: CHI2023 SARs: TMI - 2023: Socially Assistive Robots as Decision Makers: Transparency, Motivations, and Intentions, Hamburg, Germany, 28/04/2023
DOI: 10.48550/arxiv.2305.01492
Metrics:
Zedda E., Manca M., Paternò F., Santoro C.
The monotonous nature of repetitive cognitive training may cause losing interest in it and dropping out by older adults. This study introduces an adaptive technique that enables a Socially Assistive Robot (SAR) to select the most appropriate actions to maintain the engagement level of older adults while they play the serious game in cognitive training. The goal is to develop an adaptation strategy for changing the robot's behaviour that uses reinforcement learning to encourage the user to remain engaged. A reinforcement learning algorithm was implemented to determine the most effective adaptation strategy for the robot's actions, encompassing verbal and nonverbal interactions. The simulation results demonstrate that the learning algorithm achieved convergence and offers promising evidence to validate the strategy's effectiveness.Source: CHI2023 SARs: TMI - 2023: Socially Assistive Robots as Decision Makers: Transparency, Motivations, and Intentions, Hamburg, Germany, 28/04/2023
DOI: 10.48550/arxiv.2305.01492
Metrics:
See at:
arxiv.org | ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
Biography-based robot games for older adults
Catricalà B., Ledda M., Manca M., Paternò F., Santoro C., Zedda E.
One issue in aging is how to stimulate the cognitive skills of older adults. One way to address it is the use of serious games delivered through humanoid robots, to provide engaging ways to perform exercises to train memory, attention, processing, and planning activities. We present an approach in which a humanoid robot, by using various modalities, propose the games in a way personalised to specific individuals' experiences using their personal memories associated with facts and events that occurred in older adults' life. This personalization can increase their interest and engagement, and thus potentially reduce the cognitive training drop-out.Source: CHI2023 SARs: TMI - 2023: Socially Assistive Robots as Decision Makers: Transparency, Motivations, and Intentions, Hamburg, Germany, 28/04/2023
DOI: 10.48550/arxiv.2305.19849
Metrics:
Catricalà B., Ledda M., Manca M., Paternò F., Santoro C., Zedda E.
One issue in aging is how to stimulate the cognitive skills of older adults. One way to address it is the use of serious games delivered through humanoid robots, to provide engaging ways to perform exercises to train memory, attention, processing, and planning activities. We present an approach in which a humanoid robot, by using various modalities, propose the games in a way personalised to specific individuals' experiences using their personal memories associated with facts and events that occurred in older adults' life. This personalization can increase their interest and engagement, and thus potentially reduce the cognitive training drop-out.Source: CHI2023 SARs: TMI - 2023: Socially Assistive Robots as Decision Makers: Transparency, Motivations, and Intentions, Hamburg, Germany, 28/04/2023
DOI: 10.48550/arxiv.2305.19849
Metrics:
See at:
ISTI Repository | CNR ExploRA
2023
Journal article
Open Access
Personalisation of humanoid robots: serious games for older adults based on biographical memories
Catricalà B., Manca M., Paterno F., Santoro C., Zedda E.
We present an approach to novel digital cognitive training through serious games able to adapt to personally relevant material from the older adult's life. The games are based on memories associated with the older adult's biography, thus making interactions personalised, relevant, and more engaging. The serious games are accessed through humanoid robots, which can make the training exercise more engaging because of their human-like behaviour.Source: ERCIM news 132 (2023): 28–29.
Catricalà B., Manca M., Paterno F., Santoro C., Zedda E.
We present an approach to novel digital cognitive training through serious games able to adapt to personally relevant material from the older adult's life. The games are based on memories associated with the older adult's biography, thus making interactions personalised, relevant, and more engaging. The serious games are accessed through humanoid robots, which can make the training exercise more engaging because of their human-like behaviour.Source: ERCIM news 132 (2023): 28–29.
See at:
ercim-news.ercim.eu | ISTI Repository | CNR ExploRA
2023
Report
Unknown
THE D.3.2.1 - AA@THE User needs, technical requirements and specifications
Pratali L., Campana M. G., Delmastro F., Di Martino F., Pescosolido L., Barsocchi P., Broccia G., Ciancia V., Gennaro C., Girolami M., Lagani G., La Rosa D., Latella D., Magrini M., Manca M., Massink M., Mattioli A., Moroni D., Palumbo F., Paradisi P., Paternò F., Santoro C., Sebastiani L., Vairo C.
Deliverable D3.2.1 del progetto PNRR Ecosistemi ed innovazione - THESource: ISTI Project Report, THE, D3.2, 2023
Pratali L., Campana M. G., Delmastro F., Di Martino F., Pescosolido L., Barsocchi P., Broccia G., Ciancia V., Gennaro C., Girolami M., Lagani G., La Rosa D., Latella D., Magrini M., Manca M., Massink M., Mattioli A., Moroni D., Palumbo F., Paradisi P., Paternò F., Santoro C., Sebastiani L., Vairo C.
Deliverable D3.2.1 del progetto PNRR Ecosistemi ed innovazione - THESource: ISTI Project Report, THE, D3.2, 2023
See at: CNR ExploRA
2023
Conference article
Open Access
MCI older adults' user experience with introverted and extraverted humanoid robot personalities
Zedda E., Manca M., Paternò F., Santoro C.
This study aimed to investigate the impact of different personalities in humanoid robots for cognitive training scenarios with older adults with mild cognitive impairment (MCI). In particular, we have designed an application with two opposite personalities based on the Extraversion dimension of the Big Five Factors model. A user test with 16 Italian-speaking participants diagnosed with MCI aged 68+ was performed. The analysis of the data collected suggests that the robot's personality can have an effect on the engagement of such users and also found that participants can discriminate between the two personalities. Overall, the study highlights the importance of designing human-robot interactions considering personality-related aspects when considering MCI older adults.Source: CHITALY 2023 - 15th Biannual Conference of the Italian SIGCHI Chapter: Crossing HCI and AI, Turin, Italy, 20-22/09/2023
DOI: 10.1145/3605390.3605405
Metrics:
Zedda E., Manca M., Paternò F., Santoro C.
This study aimed to investigate the impact of different personalities in humanoid robots for cognitive training scenarios with older adults with mild cognitive impairment (MCI). In particular, we have designed an application with two opposite personalities based on the Extraversion dimension of the Big Five Factors model. A user test with 16 Italian-speaking participants diagnosed with MCI aged 68+ was performed. The analysis of the data collected suggests that the robot's personality can have an effect on the engagement of such users and also found that participants can discriminate between the two personalities. Overall, the study highlights the importance of designing human-robot interactions considering personality-related aspects when considering MCI older adults.Source: CHITALY 2023 - 15th Biannual Conference of the Italian SIGCHI Chapter: Crossing HCI and AI, Turin, Italy, 20-22/09/2023
DOI: 10.1145/3605390.3605405
Metrics:
See at:
ISTI Repository | dl.acm.org 
| CNR ExploRA
2023
Conference article
Open Access
How people think about automations in smart homes
Mattioli A., Paterno F.
Several tools have been put forward for creating automations in smart homes both at a research and commercial level. However, often people still encounter difficulties in specifying them in order to obtain the desired behaviour. To design authoring tools in which even people without programming experience can flexibly indicate the desired automations it is important to have a better understanding of user needs and how they think and describe the automations. In this contribution, we introduce a user study with such goals and provide an initial discussion of what has emerged.Source: AutomationXP 2023 - Intervening, Teaming, Delegating - Creating Engaging Automation Experiences, Hamburg, Germany, 23/04/2023
Mattioli A., Paterno F.
Several tools have been put forward for creating automations in smart homes both at a research and commercial level. However, often people still encounter difficulties in specifying them in order to obtain the desired behaviour. To design authoring tools in which even people without programming experience can flexibly indicate the desired automations it is important to have a better understanding of user needs and how they think and describe the automations. In this contribution, we introduce a user study with such goals and provide an initial discussion of what has emerged.Source: AutomationXP 2023 - Intervening, Teaming, Delegating - Creating Engaging Automation Experiences, Hamburg, Germany, 23/04/2023
See at:
ceur-ws.org | ISTI Repository | ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
Towards explainable automations in smart homes using mobile augmented reality
Mattioli A., Paternò F.
The pervasiveness in daily environments of objects equipped with sensors and actuators and characterized by the possibility of communicating over the Internet has steadily increased in recent years. In this scenario, smart home automations are becoming increasingly adopted. It is hence important to provide users with explainable tools to better control these automations and make them more useful for their needs. We present a novel mobile augmented reality solution to support users in creating and controlling automations through recommendations and a simulation tool. We also discuss the application of an augmented reality XAI framework to the presented solution in order to improve its transparency.Source: WWDD@IS-EUD 2023 - Workshops, Work in Progress Demos and Doctoral Consortium at IS-EUD 2023, Cagliari, Italy, 06/06/2023
Mattioli A., Paternò F.
The pervasiveness in daily environments of objects equipped with sensors and actuators and characterized by the possibility of communicating over the Internet has steadily increased in recent years. In this scenario, smart home automations are becoming increasingly adopted. It is hence important to provide users with explainable tools to better control these automations and make them more useful for their needs. We present a novel mobile augmented reality solution to support users in creating and controlling automations through recommendations and a simulation tool. We also discuss the application of an augmented reality XAI framework to the presented solution in order to improve its transparency.Source: WWDD@IS-EUD 2023 - Workshops, Work in Progress Demos and Doctoral Consortium at IS-EUD 2023, Cagliari, Italy, 06/06/2023
See at:
ceur-ws.org | ISTI Repository | ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
Towards a chatbot for creating trigger-action rules based on ChatGPT and Rasa
Gallo S., Malizia A., Paternò F.
In this paper, we propose a novel approach for building a conversational agent for creating trigger-action rules and controlling smart objects inside smart environments, such as a smart home. Our approach integrates ChatGPT, a state-of-the-art pre-trained language model for open-domain dialogue generation, with Rasa, a popular open-source framework for developing task-oriented chatbots. We leverage ChatGPT's abilities to perform Natural Language Processing tasks through prompting and few-shot learning, and Rasa Open Source's features to handle intents, entities, forms, and execute actions. We design Rasa custom actions that invoke ChatGPT's API to process complex customization rules, manage conversational breakdowns and answer questions about the smart environment.Source: EMPATHY 2023 - 4th International Workshop on Empowering People in Dealing with Internet of Things Ecosystems, Cagliari, Italy, 06/06/2023
Gallo S., Malizia A., Paternò F.
In this paper, we propose a novel approach for building a conversational agent for creating trigger-action rules and controlling smart objects inside smart environments, such as a smart home. Our approach integrates ChatGPT, a state-of-the-art pre-trained language model for open-domain dialogue generation, with Rasa, a popular open-source framework for developing task-oriented chatbots. We leverage ChatGPT's abilities to perform Natural Language Processing tasks through prompting and few-shot learning, and Rasa Open Source's features to handle intents, entities, forms, and execute actions. We design Rasa custom actions that invoke ChatGPT's API to process complex customization rules, manage conversational breakdowns and answer questions about the smart environment.Source: EMPATHY 2023 - 4th International Workshop on Empowering People in Dealing with Internet of Things Ecosystems, Cagliari, Italy, 06/06/2023
See at:
ceur-ws.org | ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
Understanding concepts, methods and tools for end-user control of automations in ecosystems of smart objects and services
Andrao M., Balducci F., Breve B., Cena F., Desolda G., Deufemia V., Gena C., Matera M., Mattioli A., Paternò F., Santoro C., Treccani B., Vernero F., Zancanaro M.
The continuously increasing number of connected objects and sensors is opening up the possibility of introducing automations in many domains to better support people in their activities. However, such automations to be effective should be under the user control. Unfortunately, people often report difficulties in understanding the surrounding automations and how to modify them. The goal of this paper is to provide a multi-perspective view of what has been done in terms of design, tools, and evaluation in the area of end-user control of automations in ecosystems of smart objects and services. For each aspect we introduce the main challenge, the current possible approaches to address it, and the issues that still need further investigation.Source: IS-EUD 2023 - 9th International Symposium on End-User Development, pp. 104–124, Cagliari, Italy, 06-08/06/2023
DOI: 10.1007/978-3-031-34433-6_7
Metrics:
Andrao M., Balducci F., Breve B., Cena F., Desolda G., Deufemia V., Gena C., Matera M., Mattioli A., Paternò F., Santoro C., Treccani B., Vernero F., Zancanaro M.
The continuously increasing number of connected objects and sensors is opening up the possibility of introducing automations in many domains to better support people in their activities. However, such automations to be effective should be under the user control. Unfortunately, people often report difficulties in understanding the surrounding automations and how to modify them. The goal of this paper is to provide a multi-perspective view of what has been done in terms of design, tools, and evaluation in the area of end-user control of automations in ecosystems of smart objects and services. For each aspect we introduce the main challenge, the current possible approaches to address it, and the issues that still need further investigation.Source: IS-EUD 2023 - 9th International Symposium on End-User Development, pp. 104–124, Cagliari, Italy, 06-08/06/2023
DOI: 10.1007/978-3-031-34433-6_7
Metrics:
See at:
ISTI Repository | link.springer.com | CNR ExploRA
2023
Conference article
Open Access
Understanding user needs in smart homes and how to fulfil them
Mattioli A., Paternò F.
Smart homes are becoming a widespread reality given the increasingly available number of connected objects and sensors. However, it is still unclear what people expect from automations that are made possible by this technological evolution. In addition, it is unclear whether current trigger-action programming (TAP) languages offer sufficient operators and constructs to specify the desired automations. In this paper, we report on a study aiming to provide useful elements to address such issues. It involved 34 users without experience in IoT programming who created 204 desired home automations. We discuss an analysis of such results in terms of the relationships found between smart-home components and of the requirements for novel operators in TAP languages.Source: IS-EUD 2023 - 9th International Symposium on End-User Development, pp. 125–142, Cagliari, Italy, 06-08/06/2023
DOI: 10.1007/978-3-031-34433-6_8
Metrics:
Mattioli A., Paternò F.
Smart homes are becoming a widespread reality given the increasingly available number of connected objects and sensors. However, it is still unclear what people expect from automations that are made possible by this technological evolution. In addition, it is unclear whether current trigger-action programming (TAP) languages offer sufficient operators and constructs to specify the desired automations. In this paper, we report on a study aiming to provide useful elements to address such issues. It involved 34 users without experience in IoT programming who created 204 desired home automations. We discuss an analysis of such results in terms of the relationships found between smart-home components and of the requirements for novel operators in TAP languages.Source: IS-EUD 2023 - 9th International Symposium on End-User Development, pp. 125–142, Cagliari, Italy, 06-08/06/2023
DOI: 10.1007/978-3-031-34433-6_8
Metrics:
See at:
ISTI Repository | link.springer.com | CNR ExploRA
2023
Conference article
Open Access
Intervening, teaming, delegating: creating engaging automation experiences
Froehlich P., Baldauf M., Palanque P., Roto V., Paternò F., Ju W., Tscheligi M.
Automated systems are becoming common in private, public and professional life. Given their increasing ubiquity and availability to a growing diversity of users, it is important to explore requirements, design principles, and user experience factors across application sectors and scientific disciplines. This workshop provides a forum for researchers and practitioners active in the field of "Automation Experience". In a keynote talk, a poster madness, discussions, and hands-on sessions, the participants will explore and discuss specific opportunities and challenges related to future forms of engagement with an increasing number of automated entities (automations). To this end, the focus topics for the workshop comprise (1) novel ways for monitoring of and intervening with increasingly intelligent agents and artifacts, (2) collaborative interaction to support teaming up and cooperation among humans and automations, and (3) orchestration and delegation of increasingly complex tasks to smart spaces. The results of the workshop are a set of research ideas and drafts of joint research initiatives to drive further automation experience research in a collaborative and interdisciplinary manner.Source: CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 23-28/04/2023
DOI: 10.1145/3544549.3573799
Project(s): AWARD
Metrics:
Froehlich P., Baldauf M., Palanque P., Roto V., Paternò F., Ju W., Tscheligi M.
Automated systems are becoming common in private, public and professional life. Given their increasing ubiquity and availability to a growing diversity of users, it is important to explore requirements, design principles, and user experience factors across application sectors and scientific disciplines. This workshop provides a forum for researchers and practitioners active in the field of "Automation Experience". In a keynote talk, a poster madness, discussions, and hands-on sessions, the participants will explore and discuss specific opportunities and challenges related to future forms of engagement with an increasing number of automated entities (automations). To this end, the focus topics for the workshop comprise (1) novel ways for monitoring of and intervening with increasingly intelligent agents and artifacts, (2) collaborative interaction to support teaming up and cooperation among humans and automations, and (3) orchestration and delegation of increasingly complex tasks to smart spaces. The results of the workshop are a set of research ideas and drafts of joint research initiatives to drive further automation experience research in a collaborative and interdisciplinary manner.Source: CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 23-28/04/2023
DOI: 10.1145/3544549.3573799
Project(s): AWARD
Metrics:
See at:
ISTI Repository | dl.acm.org | doi.org | CNR ExploRA
2023
Conference article
Open Access
Socially assistive robots as decision makers: transparency, motivations, and intentions
Nault E., Bettosi C. J., Baillie L., Smith R., Mataric M., Nallur V., Tscheligi M., Sackl A., Paternò F., Macleod S. A., Cooper S.
Socially Assistive Robots (SARs) are being developed to fulfil a range of roles that support humans. As the complexity and capability of SARs increase, they will be expected to adopt higher degrees of responsibility and execute greater levels of autonomous decision-making. Therefore, it is imperative that the Human-Robot Interaction (HRI) and more widely the Human-Computer Interaction (HCI) community seriously consider how SARs communicate about their role and the motivations and intentions behind their decisions. The proposed workshop will address challenges with respect to SAR decision-making, discuss current approaches to these challenges, and develop ideas and strategies for how the wider CHI community should move forward in this area.Source: CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 23-28/04/2023
DOI: 10.1145/3544549.3573822
Metrics:
Nault E., Bettosi C. J., Baillie L., Smith R., Mataric M., Nallur V., Tscheligi M., Sackl A., Paternò F., Macleod S. A., Cooper S.
Socially Assistive Robots (SARs) are being developed to fulfil a range of roles that support humans. As the complexity and capability of SARs increase, they will be expected to adopt higher degrees of responsibility and execute greater levels of autonomous decision-making. Therefore, it is imperative that the Human-Robot Interaction (HRI) and more widely the Human-Computer Interaction (HCI) community seriously consider how SARs communicate about their role and the motivations and intentions behind their decisions. The proposed workshop will address challenges with respect to SAR decision-making, discuss current approaches to these challenges, and develop ideas and strategies for how the wider CHI community should move forward in this area.Source: CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 23-28/04/2023
DOI: 10.1145/3544549.3573822
Metrics:
See at:
ISTI Repository | dl.acm.org | doi.org | CNR ExploRA
2023
Journal article
Open Access
A web serious game for children with attentive disorders: design and experiences from two trials
Angileri L., Manca M., Paternò F., Santoro C.
Cognitive developmental disorders are common in children and can affect various abilities. Attention Deficit/Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition. This work presents PlayToPickUp, a serious game that aims to stimulate children in relevant cognitive domains (attention and error monitoring). A multidisciplinary team of experts and caregivers from two different centres that support therapeutic activities with such children participated from the beginning to the design and the evaluation of the game. Depending on the characteristics and abilities of the player, therapists can customise the game to provide training that best fits the skills and the needs of the child while maintaining the player's motivation. After its development the game was used over two months "in the wild" by children recruited by the two centres. In one case the children played with it within the regular activities offered by the training centre. In the other one, the parents of the children were instructed by caregivers to have the children play the game at home. In the paper we describe the experience gathered from such two studies run in parallel, discussing the aspects that worked better and those that represented difficulties, and the lesson learnt for future studies.Source: Human-computer interaction (2023). doi:10.1080/07370024.2023.2240797
DOI: 10.1080/07370024.2023.2240797
Metrics:
Angileri L., Manca M., Paternò F., Santoro C.
Cognitive developmental disorders are common in children and can affect various abilities. Attention Deficit/Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition. This work presents PlayToPickUp, a serious game that aims to stimulate children in relevant cognitive domains (attention and error monitoring). A multidisciplinary team of experts and caregivers from two different centres that support therapeutic activities with such children participated from the beginning to the design and the evaluation of the game. Depending on the characteristics and abilities of the player, therapists can customise the game to provide training that best fits the skills and the needs of the child while maintaining the player's motivation. After its development the game was used over two months "in the wild" by children recruited by the two centres. In one case the children played with it within the regular activities offered by the training centre. In the other one, the parents of the children were instructed by caregivers to have the children play the game at home. In the paper we describe the experience gathered from such two studies run in parallel, discussing the aspects that worked better and those that represented difficulties, and the lesson learnt for future studies.Source: Human-computer interaction (2023). doi:10.1080/07370024.2023.2240797
DOI: 10.1080/07370024.2023.2240797
Metrics:
See at:
ISTI Repository | www.tandfonline.com | CNR ExploRA
2023
Conference article
Open Access
Large scale automatic web accessibility validation
Iannuzzi N., Manca M., Paternò F., Santoro C.
Digital accessibility is considered an important aspect to allow all people, including those with permanent or temporary disabilities, to access the continuously increasing number of digital services. This raises the need for tools able to provide support for monitoring the level of accessibility of a large number of websites in order to understand their actual level of accessibility, and identify the areas that need more interventions for their improvement. We present how we have extended a tool for accessibility validation for this purpose, and the results that we obtained in the validation of about 2.7 million Web pages of Italian public administration Web sites.Source: GoodIT 2023 - 3rd ACM International Conference on Information Technology for Social Good, pp. 307–314, Lisbon, Portugal, 06-08/09/2023
DOI: 10.1145/3582515
Metrics:
Iannuzzi N., Manca M., Paternò F., Santoro C.
Digital accessibility is considered an important aspect to allow all people, including those with permanent or temporary disabilities, to access the continuously increasing number of digital services. This raises the need for tools able to provide support for monitoring the level of accessibility of a large number of websites in order to understand their actual level of accessibility, and identify the areas that need more interventions for their improvement. We present how we have extended a tool for accessibility validation for this purpose, and the results that we obtained in the validation of about 2.7 million Web pages of Italian public administration Web sites.Source: GoodIT 2023 - 3rd ACM International Conference on Information Technology for Social Good, pp. 307–314, Lisbon, Portugal, 06-08/09/2023
DOI: 10.1145/3582515
Metrics:
See at:
ISTI Repository | dl.acm.org | CNR ExploRA
2023
Journal article
Open Access
A mobile augmented reality app for creating, controlling, recommending automations in smart homes
Mattioli A., Paternò F.
Automations in the context of smart homes have been adopted more and more frequently; thus, users should be able to control them and create automations most suitable to their needs. Current solutions for this purpose are based on visual apps with conceptual representations of possible automation elements. However, they tend to be static, abstract, and detached from the user's real context. In this paper, we propose a novel solution based on mobile augmented reality, which provides situated, dynamic representations associated with the physical objects available in the current users' context while they are freely moving about. It allows direct interaction with the objects of interest, monitoring nearby objects' automations while moving, and creating new automations or modifying existing ones. It also supports users with recommendations of object and service configurations relevant to complete the editing of the new automations. The paper also reports on a user test, which provided positive feedback.Source: Proceedings of the ACM on human-computer interaction 7 (2023): 1–22. doi:10.1145/3604242
DOI: 10.1145/3604242
Metrics:
Mattioli A., Paternò F.
Automations in the context of smart homes have been adopted more and more frequently; thus, users should be able to control them and create automations most suitable to their needs. Current solutions for this purpose are based on visual apps with conceptual representations of possible automation elements. However, they tend to be static, abstract, and detached from the user's real context. In this paper, we propose a novel solution based on mobile augmented reality, which provides situated, dynamic representations associated with the physical objects available in the current users' context while they are freely moving about. It allows direct interaction with the objects of interest, monitoring nearby objects' automations while moving, and creating new automations or modifying existing ones. It also supports users with recommendations of object and service configurations relevant to complete the editing of the new automations. The paper also reports on a user test, which provided positive feedback.Source: Proceedings of the ACM on human-computer interaction 7 (2023): 1–22. doi:10.1145/3604242
DOI: 10.1145/3604242
Metrics:
See at:
ISTI Repository | dl.acm.org | CNR ExploRA
2023
Journal article
Open Access
Older adults' user experience with introvert and extravert humanoid robot personalities
Zedda E., Manca M., Paternò F., Santoro C.
Humanoid robots can be an effective tool for the cognitive training of older adults. For this purpose, it is important that their interaction be engaging. In this study, we investigate whether proposing robots exhibiting extraverted or introverted personalities can improve user experience. In particular, we have designed and implemented a set of multi-modal cues for such personality traits, which have been exploited in an application proposing typical exercises for cognitive training through a Pepper robot. We report on a user test with 24 older adults (65 +), which provided interesting and positive feedback regarding how the robot personalities have been exhibited and their impact on the experience of such users.Source: Universal access in the information society (Internet) (2023). doi:10.1007/s10209-023-01054-2
DOI: 10.1007/s10209-023-01054-2
Metrics:
Zedda E., Manca M., Paternò F., Santoro C.
Humanoid robots can be an effective tool for the cognitive training of older adults. For this purpose, it is important that their interaction be engaging. In this study, we investigate whether proposing robots exhibiting extraverted or introverted personalities can improve user experience. In particular, we have designed and implemented a set of multi-modal cues for such personality traits, which have been exploited in an application proposing typical exercises for cognitive training through a Pepper robot. We report on a user test with 24 older adults (65 +), which provided interesting and positive feedback regarding how the robot personalities have been exhibited and their impact on the experience of such users.Source: Universal access in the information society (Internet) (2023). doi:10.1007/s10209-023-01054-2
DOI: 10.1007/s10209-023-01054-2
Metrics:
See at:
link.springer.com | ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
A multi-perspective panel on user-centred transparency, explainability, and controllability in automations
Palanque P., Paternò F., Roto V., Schmidt A., Stumpf S., Ziegler J.
At this time, there is a lot of discussion and attention on the adoption of artificial intelligence in real-world automations. In this panel, we will discuss the role of Human-Computer Interaction in creating meaningful devices, applications and systems to obtain automations that exploit technologies from artificial intelligence in such a way as to create meaningful and valuable experiences for individuals and society. Our specific focus is user control in automation, asking how HCI can provide automation that can solve the evergreen challenges of human-automation interaction, advancing the role of humans interacting with automation from servants to collaborators or even partners, and increasing human well-being. With new AI tools, the range of automation has widened including the automation of cognitive tasks.Source: INTERACT 2023 - 19th IFIP TC13 International Conference, pp. 349–353, York, UK, 1-3/09/2023
DOI: 10.1007/978-3-031-42293-5_34
Metrics:
Palanque P., Paternò F., Roto V., Schmidt A., Stumpf S., Ziegler J.
At this time, there is a lot of discussion and attention on the adoption of artificial intelligence in real-world automations. In this panel, we will discuss the role of Human-Computer Interaction in creating meaningful devices, applications and systems to obtain automations that exploit technologies from artificial intelligence in such a way as to create meaningful and valuable experiences for individuals and society. Our specific focus is user control in automation, asking how HCI can provide automation that can solve the evergreen challenges of human-automation interaction, advancing the role of humans interacting with automation from servants to collaborators or even partners, and increasing human well-being. With new AI tools, the range of automation has widened including the automation of cognitive tasks.Source: INTERACT 2023 - 19th IFIP TC13 International Conference, pp. 349–353, York, UK, 1-3/09/2023
DOI: 10.1007/978-3-031-42293-5_34
Metrics:
See at:
ISTI Repository | doi.org | link.springer.com | CNR ExploRA