Towards a Better Understanding of Social Acceptability

• URL: http://arxiv.org/abs/2103.01637v2
• Date: Mon, 15 Mar 2021 17:22:11 GMT
• Title: Towards a Better Understanding of Social Acceptability
• Authors: Alarith Uhde and Marc Hassenzahl
• Abstract summary: Social contexts play an important role in understanding acceptance and use of technology. Current approaches to describe contextual influence do not capture it appropriately. We suggest an approach based on Social Practice Theory.
• Score: 28.727916976371265
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Social contexts play an important role in understanding acceptance and use of technology. However, current approaches used in HCI to describe contextual influence do not capture it appropriately. On the one hand, the often used Technology Acceptance Model and related frameworks are too rigid to account for the nuanced variations of social situations. On the other hand, Goffman's dramaturgical model of social interactions emphasizes interpersonal relations but mostly overlooks the material (e.g., technology) that is central to HCI. As an alternative, we suggest an approach based on Social Practice Theory. We conceptualize social context as interactions between co-located social practices and acceptability as a matter of their (in)compatibilities. Finally, we outline how this approach provides designers with a better understanding of different types of social acceptability problems and helps finding appropriate solutions.

Related papers

• From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition [59.57095498284501]
  We propose a novel approach that recognizes textbfContextual textbfSocial textbfRelationships (textbfConSoR) from a social cognitive perspective. We construct social-aware descriptive language prompts with social relationships for each image. Impressively, ConSoR outperforms previous methods with a 12.2% gain on the People-in-Social-Context (PISC) dataset and a 9.8% increase on the People-in-Photo-Album (PIPA) benchmark.
  arXiv  Detail & Related papers  (2024-06-12T16:02:28Z)
• The Call for Socially Aware Language Technologies [94.6762219597438]
  We argue that many of these issues share a common core: a lack of awareness of the factors, context, and implications of the social environment in which NLP operates. We argue that substantial challenges remain for NLP to develop social awareness and that we are just at the beginning of a new era for the field.
  arXiv  Detail & Related papers  (2024-05-03T18:12:39Z)
• Social Skill Training with Large Language Models [65.40795606463101]
  People rely on social skills like conflict resolution to communicate effectively and to thrive in both work and personal life. This perspective paper identifies social skill barriers to enter specialized fields. We present a solution that leverages large language models for social skill training via a generic framework.
  arXiv  Detail & Related papers  (2024-04-05T16:29:58Z)
• Training Socially Aligned Language Models on Simulated Social Interactions [99.39979111807388]
  Social alignment in AI systems aims to ensure that these models behave according to established societal values. Current language models (LMs) are trained to rigidly replicate their training corpus in isolation. This work presents a novel training paradigm that permits LMs to learn from simulated social interactions.
  arXiv  Detail & Related papers  (2023-05-26T14:17:36Z)
• Social Practices: a Complete Formalization [1.370633147306388]
  We present a formalization of a social framework for agents based on the concept of Social Practices. Social practices facilitate the practical reasoning of agents in standard social interactions. They also come with a social context that gives handles for social planning and deliberation.
  arXiv  Detail & Related papers  (2022-05-22T09:58:42Z)
• SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues [112.94918467195637]
  Inferring social relations from dialogues is vital for building emotionally intelligent robots. We model the social network as an And-or Graph, named SocAoG, for the consistency of relations among a group. Empirical results on DialogRE and MovieGraph show that our model infers social relations more accurately than the state-of-the-art methods.
  arXiv  Detail & Related papers  (2021-06-02T08:07:42Z)
• Simulating Social Acceptability With Agent-based Modeling [28.727916976371265]
  We suggest to reframe the social space as a dynamic bundle of social practices. We outline possible research directions that focus on specific interactions among practices as well as regularities in emerging patterns.
  arXiv  Detail & Related papers  (2021-05-14T09:31:43Z)
• Graph-Based Social Relation Reasoning [101.9402771161935]
  We propose a graph relational reasoning network (GR2N) for social relation recognition. Our method considers the paradigm of jointly inferring the relations by constructing a social relation graph. Experimental results illustrate that our method generates a reasonable and consistent social relation graph.
  arXiv  Detail & Related papers  (2020-07-15T03:01:11Z)
• Towards Social Identity in Socio-Cognitive Agents [0.0]
  We propose a socio-cognitive agent model based on the concept of Cognitive Social Frames. Cognitive Social Frames can be built around social groups, and form the basis for social group dynamics mechanisms and construct of Social Identity.
  arXiv  Detail & Related papers  (2020-01-20T15:27:26Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.